Compare commits

...

61 Commits

Author SHA1 Message Date
Ettore Di Giacinto
4413defca5 feat: add starcoder (#236) 2023-05-11 20:20:07 +02:00
Ettore Di Giacinto
f359e1c6c4 fix: dolly/rp (#235) 2023-05-11 19:38:27 +02:00
renovate[bot]
1bc87d582d fix(deps): update module github.com/sashabaranov/go-openai to v1.9.4 (#230)
Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
2023-05-11 18:02:19 +02:00
renovate[bot]
a86a383357 fix(deps): update github.com/donomii/go-rwkv.cpp digest to 07166da (#224)
Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
2023-05-11 18:01:52 +02:00
renovate[bot]
16f02c7b30 fix(deps): update github.com/go-skynet/go-bert.cpp digest to ec771ec (#223)
Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
2023-05-11 18:01:35 +02:00
Ettore Di Giacinto
fe2706890c Update README.md 2023-05-11 17:32:13 +02:00
Ettore Di Giacinto
85f0f8227d refactor: drop code dups (#234) 2023-05-11 16:34:16 +02:00
Ettore Di Giacinto
59e3c02002 make use of new bindings for gpt4all (#232) 2023-05-11 14:31:19 +02:00
Matthew Campbell
032dee256f Keep whisper models in memory (#233) 2023-05-11 14:05:07 +02:00
Matthew Campbell
6b5e2b2bf5 Upload transcription API wasn't reading the data from the post (#229) 2023-05-11 10:43:05 +02:00
renovate[bot]
6fc303de87 fix(deps): update github.com/go-skynet/go-llama.cpp digest to 70593fc (#221)
Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
2023-05-11 10:34:34 +02:00
renovate[bot]
6ad6e4873d fix(deps): update github.com/ggerganov/whisper.cpp/bindings/go digest to 1d17cd5 (#216)
Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
2023-05-11 01:14:34 +02:00
ci-robbot [bot]
d6d7391da8 ⬆️ Update donomii/go-rwkv.cpp (#225)
Signed-off-by: GitHub <noreply@github.com>
Co-authored-by: mudler <mudler@users.noreply.github.com>
2023-05-11 01:13:28 +02:00
Ettore Di Giacinto
11675932ac feat: add dolly/redpajama/bloomz models support (#214) 2023-05-11 01:12:58 +02:00
Ettore Di Giacinto
f02202e1e1 update README 2023-05-10 15:51:16 +02:00
Ettore Di Giacinto
f8ee20991c feat: add bert.cpp embeddings (#222) 2023-05-10 15:20:21 +02:00
Cedrik Boudreau
e6db14e2f1 Added spark in projects (#215) 2023-05-10 14:05:44 +02:00
Dave
d00886abea Tiny .gitignore suggestion (#213) 2023-05-09 20:03:29 +02:00
renovate[bot]
4873d2bfa1 fix(deps): update github.com/go-skynet/go-llama.cpp digest to f4d26f4 (#212)
Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
2023-05-09 12:17:15 +02:00
Ettore Di Giacinto
9f426578cf feat: add transcript endpoint (#211) 2023-05-09 11:43:50 +02:00
ci-robbot [bot]
9d01b695a8 ⬆️ Update go-skynet/go-llama.cpp (#209)
Signed-off-by: GitHub <noreply@github.com>
Co-authored-by: mudler <mudler@users.noreply.github.com>
2023-05-08 22:37:16 +02:00
Ettore Di Giacinto
93829ab228 docs: update news 2023-05-08 22:34:12 +02:00
renovate[bot]
dd234f86d5 fix(deps): update github.com/go-skynet/go-llama.cpp digest to c03e8ad (#208)
Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
2023-05-08 20:30:52 +02:00
mudler
3daff6f1aa doc: update README with embeddings docs 2023-05-08 20:02:59 +02:00
Ettore Di Giacinto
89dfa0f5fc feat: add experimental support for embeddings as arrays (#207) 2023-05-08 19:31:18 +02:00
renovate[bot]
bc03c492a0 fix(deps): update module github.com/gofiber/fiber/v2 to v2.45.0 (#206)
Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
2023-05-07 17:46:31 +02:00
Fabian Hachenberg
f50a4c1454 Added runpod.io template for LocalAI to examples (#203) 2023-05-07 10:58:15 +02:00
mudler
d13d4d95ce examples: fix default parameter 2023-05-07 10:13:57 +02:00
renovate[bot]
428790ec06 fix(deps): update github.com/go-skynet/go-llama.cpp digest to cf9b522 (#202)
Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
2023-05-07 09:14:00 +02:00
mudler
4f551ce414 examples: add update index example, update README 2023-05-07 09:05:24 +02:00
mudler
6ed7b10273 examples: add langchain agent example 2023-05-07 08:14:01 +02:00
mudler
02979566ee examples: better defaults 2023-05-07 00:58:30 +02:00
ci-robbot [bot]
cbdcc839f3 ⬆️ Update go-skynet/go-llama.cpp (#201)
Signed-off-by: GitHub <noreply@github.com>
Co-authored-by: mudler <mudler@users.noreply.github.com>
2023-05-06 22:49:44 +02:00
mudler
e1c8f087f4 Update README 2023-05-06 19:18:03 +02:00
mudler
3a90ea44a5 Update readme and examples 2023-05-06 19:15:22 +02:00
renovate[bot]
e55492475d fix(deps): update github.com/go-skynet/go-llama.cpp digest to 691d479 (#189)
Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
2023-05-06 00:42:31 +02:00
Dave
07ec2e441d mini fix - OpenAI documentation url (#200) 2023-05-06 00:42:08 +02:00
ci-robbot [bot]
38d7e0b43c ⬆️ Update go-skynet/go-llama.cpp (#198)
Signed-off-by: GitHub <noreply@github.com>
Co-authored-by: mudler <mudler@users.noreply.github.com>
2023-05-06 00:21:48 +02:00
Dave
3411bfd00d Langchain Example Updates (#199) 2023-05-06 00:21:06 +02:00
Ettore Di Giacinto
7e5fe35ae4 Mixed enhancements (#196) 2023-05-06 00:00:58 +02:00
mudler
8c8cf38d4d tests: use 1 core 2023-05-05 23:29:34 +02:00
mudler
75b25297fd tests: run with ginkgo 2023-05-05 22:51:30 +02:00
mudler
009ee47fe2 Don't allow 0 as thread count 2023-05-05 22:51:20 +02:00
mudler
ec2adc2c03 tests: use 3 cores 2023-05-05 22:07:01 +02:00
mudler
ad301e6ed7 example(add): document query example 2023-05-05 21:56:31 +02:00
mudler
d094381e5d ci: lower fixtures spec 2023-05-05 21:28:38 +02:00
mudler
3ff9bbd217 examples: add rwkv script folder 2023-05-05 19:04:52 +02:00
mudler
e62ee2bc06 fix: remove trailing 0s from embeddings
This happens when no max_tokens are set, so by default go-llama
allocates more space for the slice and padding happens.
2023-05-05 18:35:03 +02:00
mudler
b49721cdd1 fix: respect config from file for backends settings 2023-05-05 18:05:10 +02:00
mudler
64c0a7967f fix: pass prediction options when using the model 2023-05-05 15:56:02 +02:00
mudler
e96eadab40 feat: support deprecated embeddings API 2023-05-05 15:55:19 +02:00
mudler
e73283121b feat: support arrays for prompt and input
Signed-off-by: mudler <mudler@mocaccino.org>
2023-05-05 15:54:59 +02:00
mudler
857d13e8d6 debug: wire up go-fiber debugger 2023-05-05 15:53:57 +02:00
ci-robbot [bot]
91db3d4d5c ⬆️ Update go-skynet/go-llama.cpp (#194)
Signed-off-by: GitHub <noreply@github.com>
Co-authored-by: mudler <mudler@users.noreply.github.com>
2023-05-05 13:45:50 +02:00
Ettore Di Giacinto
961cf29217 feat: expose mirostat to config (#193) 2023-05-05 13:45:37 +02:00
Ettore Di Giacinto
c839b334eb feat: add embeddings for go-llama.cpp backend (#190) 2023-05-05 11:20:06 +02:00
Ettore Di Giacinto
714bfcd45b fix: missing returning error and free callback stream (#187) 2023-05-04 19:49:43 +02:00
renovate[bot]
77ce8b953e fix(deps): update github.com/donomii/go-rwkv.cpp digest to af62fcc (#171)
Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
2023-05-04 18:30:48 +02:00
renovate[bot]
01ada95941 fix(deps): update github.com/go-skynet/go-llama.cpp digest to 2e6ae12 (#172)
Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
2023-05-04 18:30:11 +02:00
ci-robbot [bot]
eabdc5042a ⬆️ Update go-skynet/go-llama.cpp (#184)
Signed-off-by: GitHub <noreply@github.com>
Co-authored-by: mudler <mudler@users.noreply.github.com>
2023-05-04 18:28:49 +02:00
Dhruv Gera
96267d9437 localai: Include the WebUI project example (#130)
Co-authored-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
2023-05-04 18:27:58 +02:00
40 changed files with 1631 additions and 987 deletions

View File

@@ -21,6 +21,18 @@ jobs:
- repository: "donomii/go-rwkv.cpp"
variable: "RWKV_VERSION"
branch: "main"
- repository: "ggerganov/whisper.cpp"
variable: "WHISPER_CPP_VERSION"
branch: "master"
- repository: "go-skynet/go-bert.cpp"
variable: "BERT_VERSION"
branch: "master"
- repository: "go-skynet/bloomz.cpp"
variable: "BLOOMZ_VERSION"
branch: "main"
- repository: "go-skynet/gpt4all"
variable: "GPT4ALL_VERSION"
branch: "main"
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3

7
.gitignore vendored
View File

@@ -2,6 +2,8 @@
go-llama
go-gpt4all-j
go-gpt2
go-rwkv
whisper.cpp
# LocalAI build binary
LocalAI
@@ -11,4 +13,7 @@ local-ai
# Ignore models
models/*
test-models/
test-models/
# just in case
.DS_Store

115
Makefile
View File

@@ -3,11 +3,16 @@ GOTEST=$(GOCMD) test
GOVET=$(GOCMD) vet
BINARY_NAME=local-ai
GOLLAMA_VERSION?=llama.cpp-f4cef87
GOGPT4ALLJ_VERSION?=1f7bff57f66cb7062e40d0ac3abd2217815e5109
GOGPT2_VERSION?=245a5bfe6708ab80dc5c733dcdbfbe3cfd2acdaa
GOLLAMA_VERSION?=c03e8adbc45c866e0f6d876af1887d6b01d57eb4
GPT4ALL_REPO?=https://github.com/go-skynet/gpt4all
GPT4ALL_VERSION?=3657f9417e17edf378c27d0a9274a1bf41caa914
GOGPT2_VERSION?=6a10572
RWKV_REPO?=https://github.com/donomii/go-rwkv.cpp
RWKV_VERSION?=af62fcc432be2847acb6e0688b2c2491d6588d58
RWKV_VERSION?=07166da10cb2a9e8854395a4f210464dcea76e47
WHISPER_CPP_VERSION?=bf2449dfae35a46b2cd92ab22661ce81a48d4993
BERT_VERSION?=ec771ec715576ac050263bb7bb74bfd616a5ba13
BLOOMZ_VERSION?=e9366e82abdfe70565644fbfae9651976714efd1
GREEN := $(shell tput -Txterm setaf 2)
YELLOW := $(shell tput -Txterm setaf 3)
@@ -15,8 +20,8 @@ WHITE := $(shell tput -Txterm setaf 7)
CYAN := $(shell tput -Txterm setaf 6)
RESET := $(shell tput -Txterm sgr0)
C_INCLUDE_PATH=$(shell pwd)/go-llama:$(shell pwd)/go-gpt4all-j:$(shell pwd)/go-gpt2:$(shell pwd)/go-rwkv
LIBRARY_PATH=$(shell pwd)/go-llama:$(shell pwd)/go-gpt4all-j:$(shell pwd)/go-gpt2:$(shell pwd)/go-rwkv
C_INCLUDE_PATH=$(shell pwd)/go-llama:$(shell pwd)/gpt4all/gpt4all-bindings/golang/:$(shell pwd)/go-gpt2:$(shell pwd)/go-rwkv:$(shell pwd)/whisper.cpp:$(shell pwd)/go-bert:$(shell pwd)/bloomz
LIBRARY_PATH=$(shell pwd)/go-llama:$(shell pwd)/gpt4all/gpt4all-bindings/golang/:$(shell pwd)/go-gpt2:$(shell pwd)/go-rwkv:$(shell pwd)/whisper.cpp:$(shell pwd)/go-bert:$(shell pwd)/bloomz
# Use this if you want to set the default behavior
ifndef BUILD_TYPE
@@ -33,30 +38,63 @@ endif
all: help
## GPT4ALL-J
go-gpt4all-j:
git clone --recurse-submodules https://github.com/go-skynet/go-gpt4all-j.cpp go-gpt4all-j
cd go-gpt4all-j && git checkout -b build $(GOGPT4ALLJ_VERSION) && git submodule update --init --recursive --depth 1
## GPT4ALL
gpt4all:
git clone --recurse-submodules $(GPT4ALL_REPO) gpt4all
cd gpt4all && git checkout -b build $(GPT4ALL_VERSION) && git submodule update --init --recursive --depth 1
# This is hackish, but needed as both go-llama and go-gpt4allj have their own version of ggml..
@find ./go-gpt4all-j -type f -name "*.c" -exec sed -i'' -e 's/ggml_/ggml_gptj_/g' {} +
@find ./go-gpt4all-j -type f -name "*.cpp" -exec sed -i'' -e 's/ggml_/ggml_gptj_/g' {} +
@find ./go-gpt4all-j -type f -name "*.h" -exec sed -i'' -e 's/ggml_/ggml_gptj_/g' {} +
@find ./go-gpt4all-j -type f -name "*.cpp" -exec sed -i'' -e 's/gpt_/gptj_/g' {} +
@find ./go-gpt4all-j -type f -name "*.h" -exec sed -i'' -e 's/gpt_/gptj_/g' {} +
@find ./go-gpt4all-j -type f -name "*.cpp" -exec sed -i'' -e 's/json_/json_gptj_/g' {} +
@find ./go-gpt4all-j -type f -name "*.cpp" -exec sed -i'' -e 's/void replace/void json_gptj_replace/g' {} +
@find ./go-gpt4all-j -type f -name "*.cpp" -exec sed -i'' -e 's/::replace/::json_gptj_replace/g' {} +
@find ./gpt4all -type f -name "*.c" -exec sed -i'' -e 's/ggml_/ggml_gptj_/g' {} +
@find ./gpt4all -type f -name "*.cpp" -exec sed -i'' -e 's/ggml_/ggml_gptj_/g' {} +
@find ./gpt4all -type f -name "*.h" -exec sed -i'' -e 's/ggml_/ggml_gptj_/g' {} +
@find ./gpt4all -type f -name "*.cpp" -exec sed -i'' -e 's/gpt_/gptj_/g' {} +
@find ./gpt4all -type f -name "*.h" -exec sed -i'' -e 's/gpt_/gptj_/g' {} +
@find ./gpt4all -type f -name "*.h" -exec sed -i'' -e 's/set_console_color/set_gptj_console_color/g' {} +
@find ./gpt4all -type f -name "*.cpp" -exec sed -i'' -e 's/set_console_color/set_gptj_console_color/g' {} +
@find ./gpt4all -type f -name "*.cpp" -exec sed -i'' -e 's/llama_/gptjllama_/g' {} +
@find ./gpt4all -type f -name "*.go" -exec sed -i'' -e 's/llama_/gptjllama_/g' {} +
@find ./gpt4all -type f -name "*.h" -exec sed -i'' -e 's/llama_/gptjllama_/g' {} +
@find ./gpt4all -type f -name "*.txt" -exec sed -i'' -e 's/llama_/gptjllama_/g' {} +
@find ./gpt4all -type f -name "*.cpp" -exec sed -i'' -e 's/json_/json_gptj_/g' {} +
@find ./gpt4all -type f -name "*.cpp" -exec sed -i'' -e 's/void replace/void json_gptj_replace/g' {} +
@find ./gpt4all -type f -name "*.cpp" -exec sed -i'' -e 's/::replace/::json_gptj_replace/g' {} +
mv ./gpt4all/gpt4all-backend/llama.cpp/llama_util.h ./gpt4all/gpt4all-backend/llama.cpp/gptjllama_util.h
## BERT embeddings
go-bert:
git clone --recurse-submodules https://github.com/go-skynet/go-bert.cpp go-bert
cd go-bert && git checkout -b build $(BERT_VERSION) && git submodule update --init --recursive --depth 1
@find ./go-bert -type f -name "*.c" -exec sed -i'' -e 's/ggml_/ggml_bert_/g' {} +
@find ./go-bert -type f -name "*.cpp" -exec sed -i'' -e 's/ggml_/ggml_bert_/g' {} +
@find ./go-bert -type f -name "*.h" -exec sed -i'' -e 's/ggml_/ggml_bert_/g' {} +
## RWKV
go-rwkv:
git clone --recurse-submodules $(RWKV_REPO) go-rwkv
cd go-rwkv && git checkout -b build $(RWKV_VERSION) && git submodule update --init --recursive --depth 1
@find ./go-rwkv -type f -name "*.c" -exec sed -i'' -e 's/ggml_/ggml_rwkv_/g' {} +
@find ./go-rwkv -type f -name "*.cpp" -exec sed -i'' -e 's/ggml_/ggml_rwkv_/g' {} +
@find ./go-rwkv -type f -name "*.h" -exec sed -i'' -e 's/ggml_/ggml_rwkv_/g' {} +
go-rwkv/librwkv.a: go-rwkv
cd go-rwkv && cd rwkv.cpp && cmake . -DRWKV_BUILD_SHARED_LIBRARY=OFF && cmake --build . && cp librwkv.a .. && cp ggml/src/libggml.a ..
go-gpt4all-j/libgptj.a: go-gpt4all-j
$(MAKE) -C go-gpt4all-j $(GENERIC_PREFIX)libgptj.a
## bloomz
bloomz:
git clone --recurse-submodules https://github.com/go-skynet/bloomz.cpp bloomz
@find ./bloomz -type f -name "*.c" -exec sed -i'' -e 's/ggml_/ggml_bloomz_/g' {} +
@find ./bloomz -type f -name "*.cpp" -exec sed -i'' -e 's/ggml_/ggml_bloomz_/g' {} +
@find ./bloomz -type f -name "*.h" -exec sed -i'' -e 's/ggml_/ggml_bloomz_/g' {} +
@find ./bloomz -type f -name "*.cpp" -exec sed -i'' -e 's/gpt_/gpt_bloomz_/g' {} +
@find ./bloomz -type f -name "*.h" -exec sed -i'' -e 's/gpt_/gpt_bloomz_/g' {} +
bloomz/libbloomz.a: bloomz
cd bloomz && make libbloomz.a
go-bert/libgobert.a: go-bert
$(MAKE) -C go-bert libgobert.a
gpt4all/gpt4all-bindings/golang/libgpt4all.a: gpt4all
$(MAKE) -C gpt4all/gpt4all-bindings/golang/ $(GENERIC_PREFIX)libgpt4all.a
## CEREBRAS GPT
go-gpt2:
@@ -66,13 +104,24 @@ go-gpt2:
@find ./go-gpt2 -type f -name "*.c" -exec sed -i'' -e 's/ggml_/ggml_gpt2_/g' {} +
@find ./go-gpt2 -type f -name "*.cpp" -exec sed -i'' -e 's/ggml_/ggml_gpt2_/g' {} +
@find ./go-gpt2 -type f -name "*.h" -exec sed -i'' -e 's/ggml_/ggml_gpt2_/g' {} +
@find ./go-gpt2 -type f -name "*.cpp" -exec sed -i'' -e 's/gpt_/gpt2_/g' {} +
@find ./go-gpt2 -type f -name "*.h" -exec sed -i'' -e 's/gpt_/gpt2_/g' {} +
@find ./go-gpt2 -type f -name "*.cpp" -exec sed -i'' -e 's/gpt_print_usage/gpt2_print_usage/g' {} +
@find ./go-gpt2 -type f -name "*.h" -exec sed -i'' -e 's/gpt_print_usage/gpt2_print_usage/g' {} +
@find ./go-gpt2 -type f -name "*.cpp" -exec sed -i'' -e 's/gpt_params_parse/gpt2_params_parse/g' {} +
@find ./go-gpt2 -type f -name "*.h" -exec sed -i'' -e 's/gpt_params_parse/gpt2_params_parse/g' {} +
@find ./go-gpt2 -type f -name "*.cpp" -exec sed -i'' -e 's/gpt_random_prompt/gpt2_random_prompt/g' {} +
@find ./go-gpt2 -type f -name "*.h" -exec sed -i'' -e 's/gpt_random_prompt/gpt2_random_prompt/g' {} +
@find ./go-gpt2 -type f -name "*.cpp" -exec sed -i'' -e 's/json_/json_gpt2_/g' {} +
go-gpt2/libgpt2.a: go-gpt2
$(MAKE) -C go-gpt2 $(GENERIC_PREFIX)libgpt2.a
whisper.cpp:
git clone https://github.com/ggerganov/whisper.cpp.git
cd whisper.cpp && git checkout -b build $(WHISPER_CPP_VERSION) && git submodule update --init --recursive --depth 1
whisper.cpp/libwhisper.a: whisper.cpp
cd whisper.cpp && make libwhisper.a
go-llama:
git clone --recurse-submodules https://github.com/go-skynet/go-llama.cpp go-llama
cd go-llama && git checkout -b build $(GOLLAMA_VERSION) && git submodule update --init --recursive --depth 1
@@ -82,28 +131,36 @@ go-llama/libbinding.a: go-llama
replace:
$(GOCMD) mod edit -replace github.com/go-skynet/go-llama.cpp=$(shell pwd)/go-llama
$(GOCMD) mod edit -replace github.com/go-skynet/go-gpt4all-j.cpp=$(shell pwd)/go-gpt4all-j
$(GOCMD) mod edit -replace github.com/nomic/gpt4all/gpt4all-bindings/golang=$(shell pwd)/gpt4all/gpt4all-bindings/golang
$(GOCMD) mod edit -replace github.com/go-skynet/go-gpt2.cpp=$(shell pwd)/go-gpt2
$(GOCMD) mod edit -replace github.com/donomii/go-rwkv.cpp=$(shell pwd)/go-rwkv
$(GOCMD) mod edit -replace github.com/ggerganov/whisper.cpp=$(shell pwd)/whisper.cpp
$(GOCMD) mod edit -replace github.com/go-skynet/go-bert.cpp=$(shell pwd)/go-bert
$(GOCMD) mod edit -replace github.com/go-skynet/bloomz.cpp=$(shell pwd)/bloomz
prepare-sources: go-llama go-gpt2 go-gpt4all-j go-rwkv
prepare-sources: go-llama go-gpt2 gpt4all go-rwkv whisper.cpp go-bert bloomz replace
$(GOCMD) mod download
## GENERIC
rebuild: ## Rebuilds the project
$(MAKE) -C go-llama clean
$(MAKE) -C go-gpt4all-j clean
$(MAKE) -C gpt4all/gpt4all-bindings/golang/ clean
$(MAKE) -C go-gpt2 clean
$(MAKE) -C go-rwkv clean
$(MAKE) -C whisper.cpp clean
$(MAKE) -C go-bert clean
$(MAKE) -C bloomz clean
$(MAKE) build
prepare: prepare-sources go-llama/libbinding.a go-gpt4all-j/libgptj.a go-gpt2/libgpt2.a go-rwkv/librwkv.a replace ## Prepares for building
prepare: prepare-sources gpt4all/gpt4all-bindings/golang/libgpt4all.a go-llama/libbinding.a go-bert/libgobert.a go-gpt2/libgpt2.a go-rwkv/librwkv.a whisper.cpp/libwhisper.a bloomz/libbloomz.a ## Prepares for building
clean: ## Remove build related file
rm -fr ./go-llama
rm -rf ./go-gpt4all-j
rm -rf ./gpt4all
rm -rf ./go-gpt2
rm -rf ./go-rwkv
rm -rf ./go-bert
rm -rf ./bloomz
rm -rf $(BINARY_NAME)
## Build:
@@ -111,7 +168,7 @@ clean: ## Remove build related file
build: prepare ## Build the project
$(info ${GREEN}I local-ai build info:${RESET})
$(info ${GREEN}I BUILD_TYPE: ${YELLOW}$(BUILD_TYPE)${RESET})
C_INCLUDE_PATH=${C_INCLUDE_PATH} LIBRARY_PATH=${LIBRARY_PATH} $(GOCMD) build -o $(BINARY_NAME) ./
C_INCLUDE_PATH=${C_INCLUDE_PATH} LIBRARY_PATH=${LIBRARY_PATH} $(GOCMD) build -x -o $(BINARY_NAME) ./
generic-build: ## Build the project using generic
BUILD_TYPE="generic" $(MAKE) build
@@ -127,7 +184,7 @@ test-models/testmodel:
test: prepare test-models/testmodel
cp tests/fixtures/* test-models
@C_INCLUDE_PATH=${C_INCLUDE_PATH} LIBRARY_PATH=${LIBRARY_PATH} CONFIG_FILE=$(abspath ./)/test-models/config.yaml MODELS_PATH=$(abspath ./)/test-models $(GOCMD) test -v -timeout 30m ./...
@C_INCLUDE_PATH=${C_INCLUDE_PATH} LIBRARY_PATH=${LIBRARY_PATH} CONFIG_FILE=$(abspath ./)/test-models/config.yaml MODELS_PATH=$(abspath ./)/test-models $(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo -v -r ./api
## Help:
help: ## Show this help.

122
README.md
View File

@@ -9,30 +9,46 @@
[![](https://dcbadge.vercel.app/api/server/uJAeKSAGDy?style=flat-square&theme=default-inverted)](https://discord.gg/uJAeKSAGDy)
**LocalAI** is a drop-in replacement REST API compatible with OpenAI for local CPU inferencing. It allows to run models locally or on-prem with consumer grade hardware. It is based on [llama.cpp](https://github.com/ggerganov/llama.cpp), [gpt4all](https://github.com/nomic-ai/gpt4all), [rwkv.cpp](https://github.com/saharNooby/rwkv.cpp) and [ggml](https://github.com/ggerganov/ggml), including support GPT4ALL-J which is licensed under Apache 2.0.
**LocalAI** is a drop-in replacement REST API compatible with OpenAI for local CPU inferencing. It allows to run models locally or on-prem with consumer grade hardware, supporting multiple models families. Supports also GPT4ALL-J which is licensed under Apache 2.0.
- OpenAI compatible API
- Supports multiple-models
- Supports multiple models
- Once loaded the first time, it keep models loaded in memory for faster inference
- Support for prompt templates
- Doesn't shell-out, but uses C bindings for a faster inference and better performance.
LocalAI is a community-driven project, focused on making the AI accessible to anyone. Any contribution, feedback and PR is welcome! It was initially created by [mudler](https://github.com/mudler/) at the [SpectroCloud OSS Office](https://github.com/spectrocloud).
### News
LocalAI uses C++ bindings for optimizing speed. It is based on [llama.cpp](https://github.com/ggerganov/llama.cpp), [gpt4all](https://github.com/nomic-ai/gpt4all), [rwkv.cpp](https://github.com/saharNooby/rwkv.cpp), [ggml](https://github.com/ggerganov/ggml), [whisper.cpp](https://github.com/ggerganov/whisper.cpp) for audio transcriptions, and [bert.cpp](https://github.com/skeskinen/bert.cpp) for embedding.
See [examples on how to integrate LocalAI](https://github.com/go-skynet/LocalAI/tree/master/examples/).
## News
- 11-05-2023: __1.9.0__ released! 🔥 Important whisper updates ( https://github.com/go-skynet/LocalAI/pull/233 https://github.com/go-skynet/LocalAI/pull/229 ) and extended gpt4all model families support ( https://github.com/go-skynet/LocalAI/pull/232 ). Redpajama/dolly experimental ( https://github.com/go-skynet/LocalAI/pull/214 )
- 10-05-2023: __1.8.0__ released! 🔥 Added support for fast and accurate embeddings with `bert.cpp` ( https://github.com/go-skynet/LocalAI/pull/222 )
- 09-05-2023: Added experimental support for transcriptions endpoint ( https://github.com/go-skynet/LocalAI/pull/211 )
- 08-05-2023: Support for embeddings with models using the `llama.cpp` backend ( https://github.com/go-skynet/LocalAI/pull/207 )
- 02-05-2023: Support for `rwkv.cpp` models ( https://github.com/go-skynet/LocalAI/pull/158 ) and for `/edits` endpoint
- 01-05-2023: Support for SSE stream of tokens in `llama.cpp` backends ( https://github.com/go-skynet/LocalAI/pull/152 )
### Socials and community chatter
Twitter: [@LocalAI_API](https://twitter.com/LocalAI_API) and [@mudler_it](https://twitter.com/mudler_it)
- Follow [@LocalAI_API](https://twitter.com/LocalAI_API) on twitter.
### Blogs and articles
- [Reddit post](https://www.reddit.com/r/selfhosted/comments/12w4p2f/localai_openai_compatible_api_to_run_llm_models/) about LocalAI.
- [Tutorial to use k8sgpt with LocalAI](https://medium.com/@tyler_97636/k8sgpt-localai-unlock-kubernetes-superpowers-for-free-584790de9b65) - excellent usecase for localAI, using AI to analyse Kubernetes clusters.
## Contribute and help
To help the project you can:
- Upvote the [Reddit post](https://www.reddit.com/r/selfhosted/comments/12w4p2f/localai_openai_compatible_api_to_run_llm_models/) about LocalAI.
- [Hacker news post](https://news.ycombinator.com/item?id=35726934) - help us out by voting if you like this project.
- [Tutorial to use k8sgpt with LocalAI](https://medium.com/@tyler_97636/k8sgpt-localai-unlock-kubernetes-superpowers-for-free-584790de9b65) - excellent usecase for localAI, using AI to analyse Kubernetes clusters.
- If you have technological skills and want to contribute to development, have a look at the open issues. If you are new you can have a look at the [good-first-issue](https://github.com/go-skynet/LocalAI/issues?q=is%3Aissue+is%3Aopen+label%3A%22good+first+issue%22) and [help-wanted](https://github.com/go-skynet/LocalAI/issues?q=is%3Aissue+is%3Aopen+label%3A%22help+wanted%22) labels.
- If you don't have technological skills you can still help improving documentation or add examples or share your user-stories with our community, any help and contribution is welcome!
## Model compatibility
@@ -41,32 +57,24 @@ It is compatible with the models supported by [llama.cpp](https://github.com/gge
Tested with:
- Vicuna
- Alpaca
- [GPT4ALL](https://github.com/nomic-ai/gpt4all)
- [GPT4ALL-J](https://gpt4all.io/models/ggml-gpt4all-j.bin)
- [GPT4ALL](https://github.com/nomic-ai/gpt4all) (changes required, see below)
- [GPT4ALL-J](https://gpt4all.io/models/ggml-gpt4all-j.bin) (no changes required)
- Koala
- [cerebras-GPT with ggml](https://huggingface.co/lxe/Cerebras-GPT-2.7B-Alpaca-SP-ggml)
- WizardLM
- [RWKV](https://github.com/BlinkDL/RWKV-LM) models with [rwkv.cpp](https://github.com/saharNooby/rwkv.cpp)
### Vicuna, Alpaca, LLaMa...
[llama.cpp](https://github.com/ggerganov/llama.cpp) based models are compatible
### GPT4ALL
Note: You might need to convert older models to the new format, see [here](https://github.com/ggerganov/llama.cpp#using-gpt4all) for instance to run `gpt4all`.
### GPT4ALL-J
No changes required to the model.
### RWKV
<details>
A full example on how to run a rwkv model is in the [examples](https://github.com/go-skynet/LocalAI/tree/master/examples/rwkv).
Note: rwkv models have an associated tokenizer along that needs to be provided with it:
Note: rwkv models needs to specify the backend `rwkv` in the YAML config files and have an associated tokenizer along that needs to be provided with it:
```
36464540 -rw-r--r-- 1 mudler mudler 1.2G May 3 10:51 rwkv_small
@@ -84,6 +92,28 @@ It should also be compatible with StableLM and GPTNeoX ggml models (untested).
Depending on the model you are attempting to run might need more RAM or CPU resources. Check out also [here](https://github.com/ggerganov/llama.cpp#memorydisk-requirements) for `ggml` based backends. `rwkv` is less expensive on resources.
### Feature support matrix
<details>
| Backend | Compatible models | Completion/Chat endpoint | Audio transcription | Embeddings support | Token stream support | Github | Bindings |
|-----------------|-----------------------|--------------------------|---------------------|-----------------------------------|----------------------|--------------------------------------------|-------------------------------------------|
| llama | Vicuna, Alpaca, LLaMa | yes | no | yes (doesn't seem to be accurate) | yes | https://github.com/ggerganov/llama.cpp | https://github.com/go-skynet/go-llama.cpp |
| gpt4all-llama | Vicuna, Alpaca, LLaMa | yes | no | no | yes | https://github.com/nomic-ai/gpt4all | https://github.com/go-skynet/gpt4all |
| gpt4all-mpt | MPT | yes | no | no | yes | https://github.com/nomic-ai/gpt4all | https://github.com/go-skynet/gpt4all |
| gpt4all-j | GPT4ALL-J | yes | no | no | yes | https://github.com/nomic-ai/gpt4all | https://github.com/go-skynet/gpt4all |
| gpt2 | GPT/NeoX, Cerebras | yes | no | no | no | https://github.com/ggerganov/ggml | https://github.com/go-skynet/go-gpt2.cpp |
| dolly | Dolly | yes | no | no | no | https://github.com/ggerganov/ggml | https://github.com/go-skynet/go-gpt2.cpp |
| redpajama | RedPajama | yes | no | no | no | https://github.com/ggerganov/ggml | https://github.com/go-skynet/go-gpt2.cpp |
| stableLM | StableLM GPT/NeoX | yes | no | no | no | https://github.com/ggerganov/ggml | https://github.com/go-skynet/go-gpt2.cpp |
| starcoder | Starcoder | yes | no | no | no | https://github.com/ggerganov/ggml | https://github.com/go-skynet/go-gpt2.cpp |
| bloomz | Bloom | yes | no | no | no | https://github.com/NouamaneTazi/bloomz.cpp | https://github.com/go-skynet/bloomz.cpp |
| rwkv | RWKV | yes | no | no | yes | https://github.com/saharNooby/rwkv.cpp | https://github.com/donomii/go-rwkv.cpp |
| bert-embeddings | bert | no | no | yes | no | https://github.com/skeskinen/bert.cpp | https://github.com/go-skynet/go-bert.cpp |
| whisper | whisper | no | yes | no | no | https://github.com/ggerganov/whisper.cpp | https://github.com/ggerganov/whisper.cpp |
</details>
## Usage
> `LocalAI` comes by default as a container image. You can check out all the available images with corresponding tags [here](https://quay.io/repository/go-skynet/local-ai?tab=tags&tag=latest).
@@ -162,9 +192,7 @@ To build locally, run `make build` (see below).
### Other examples
![Screenshot from 2023-04-26 23-59-55](https://user-images.githubusercontent.com/2420543/234715439-98d12e03-d3ce-4f94-ab54-2b256808e05e.png)
To see other examples on how to integrate with other projects for instance chatbot-ui, see: [examples](https://github.com/go-skynet/LocalAI/tree/master/examples/).
To see other examples on how to integrate with other projects for instance for question answering or for using it with chatbot-ui, see: [examples](https://github.com/go-skynet/LocalAI/tree/master/examples/).
### Advanced configuration
@@ -529,6 +557,52 @@ curl http://localhost:8080/v1/models
</details>
### Embeddings
<details>
The embedding endpoint is experimental and enabled only if the model is configured with `embeddings: true` in its `yaml` file, for example:
```yaml
name: text-embedding-ada-002
parameters:
model: bert
embeddings: true
backend: "bert-embeddings"
```
There is an example available [here](https://github.com/go-skynet/LocalAI/tree/master/examples/query_data/).
Note: embeddings is supported only with `llama.cpp` compatible models and `bert` models. bert is more performant and available independently of the LLM model.
</details>
### Transcriptions endpoint
<details>
Note: requires ffmpeg in the container image, which is currently not shipped due to licensing issues. We will prepare separated images with ffmpeg. (stay tuned!)
Download one of the models from https://huggingface.co/ggerganov/whisper.cpp/tree/main in the `models` folder, and create a YAML file for your model:
```yaml
name: whisper-1
backend: whisper
parameters:
model: whisper-en
```
The transcriptions endpoint then can be tested like so:
```
wget --quiet --show-progress -O gb1.ogg https://upload.wikimedia.org/wikipedia/commons/1/1f/George_W_Bush_Columbia_FINAL.ogg
curl http://localhost:8080/v1/audio/transcriptions -H "Content-Type: multipart/form-data" -F file="@$PWD/gb1.ogg" -F model="whisper-1"
{"text":"My fellow Americans, this day has brought terrible news and great sadness to our country.At nine o'clock this morning, Mission Control in Houston lost contact with our Space ShuttleColumbia.A short time later, debris was seen falling from the skies above Texas.The Columbia's lost.There are no survivors.One board was a crew of seven.Colonel Rick Husband, Lieutenant Colonel Michael Anderson, Commander Laurel Clark, Captain DavidBrown, Commander William McCool, Dr. Kultna Shavla, and Elon Ramon, a colonel in the IsraeliAir Force.These men and women assumed great risk in the service to all humanity.In an age when spaceflight has come to seem almost routine, it is easy to overlook thedangers of travel by rocket and the difficulties of navigating the fierce outer atmosphere ofthe Earth.These astronauts knew the dangers, and they faced them willingly, knowing they had a highand noble purpose in life.Because of their courage and daring and idealism, we will miss them all the more.All Americans today are thinking as well of the families of these men and women who havebeen given this sudden shock and grief.You're not alone.Our entire nation agrees with you, and those you loved will always have the respect andgratitude of this country.The cause in which they died will continue.Mankind has led into the darkness beyond our world by the inspiration of discovery andthe longing to understand.Our journey into space will go on.In the skies today, we saw destruction and tragedy.As farther than we can see, there is comfort and hope.In the words of the prophet Isaiah, \"Lift your eyes and look to the heavens who createdall these, he who brings out the starry hosts one by one and calls them each by name.\"Because of his great power and mighty strength, not one of them is missing.The same creator who names the stars also knows the names of the seven souls we mourntoday.The crew of the shuttle Columbia did not return safely to Earth yet we can pray that all aresafely home.May God bless the grieving families and may God continue to bless America.[BLANK_AUDIO]"}
```
</details>
## Frequently asked questions
Here are answers to some of the most common questions.
@@ -572,7 +646,7 @@ Not currently, as ggml doesn't support GPUs yet: https://github.com/ggerganov/ll
### Where is the webUI?
<details>
We are working on to have a good out of the box experience - however as LocalAI is an API you can already plug it into existing projects that provides are UI interfaces to OpenAI's APIs. There are several already on github, and should be compatible with LocalAI already (as it mimics the OpenAI API)
There is the availability of localai-webui and chatbot-ui in the examples section and can be setup as per the instructions. However as LocalAI is an API you can already plug it into existing projects that provides are UI interfaces to OpenAI's APIs. There are several already on github, and should be compatible with LocalAI already (as it mimics the OpenAI API)
</details>
@@ -590,6 +664,7 @@ Feel free to open up a PR to get your project listed!
- [Kairos](https://github.com/kairos-io/kairos)
- [k8sgpt](https://github.com/k8sgpt-ai/k8sgpt#running-local-models)
- [Spark](https://github.com/cedriking/spark)
## Blog posts and other articles
@@ -612,7 +687,7 @@ Feel free to open up a PR to get your project listed!
## License
LocalAI is a community-driven project. It was initially created by [mudler](https://github.com/mudler/) at the [SpectroCloud OSS Office](https://github.com/spectrocloud).
LocalAI is a community-driven project. It was initially created by [Ettore Di Giacinto](https://github.com/mudler/) at the [SpectroCloud OSS Office](https://github.com/spectrocloud).
MIT
@@ -621,6 +696,7 @@ MIT
- [go-skynet/go-llama.cpp](https://github.com/go-skynet/go-llama.cpp)
- [go-skynet/go-gpt4all-j.cpp](https://github.com/go-skynet/go-gpt4all-j.cpp)
- [go-skynet/go-gpt2.cpp](https://github.com/go-skynet/go-gpt2.cpp)
- [go-skynet/go-bert.cpp](https://github.com/go-skynet/go-bert.cpp)
- [donomii/go-rwkv.cpp](https://github.com/donomii/go-rwkv.cpp)
## Acknowledgements

View File

@@ -6,6 +6,7 @@ import (
model "github.com/go-skynet/LocalAI/pkg/model"
"github.com/gofiber/fiber/v2"
"github.com/gofiber/fiber/v2/middleware/cors"
"github.com/gofiber/fiber/v2/middleware/logger"
"github.com/gofiber/fiber/v2/middleware/recover"
"github.com/rs/zerolog"
"github.com/rs/zerolog/log"
@@ -40,6 +41,12 @@ func App(configFile string, loader *model.ModelLoader, threads, ctxSize int, f16
},
})
if debug {
app.Use(logger.New(logger.Config{
Format: "[${ip}]:${port} ${status} - ${method} ${path}\n",
}))
}
cm := make(ConfigMerger)
if err := cm.LoadConfigs(loader.ModelPath); err != nil {
log.Error().Msgf("error loading config files: %s", err.Error())
@@ -70,6 +77,15 @@ func App(configFile string, loader *model.ModelLoader, threads, ctxSize int, f16
app.Post("/v1/completions", completionEndpoint(cm, debug, loader, threads, ctxSize, f16))
app.Post("/completions", completionEndpoint(cm, debug, loader, threads, ctxSize, f16))
app.Post("/v1/embeddings", embeddingsEndpoint(cm, debug, loader, threads, ctxSize, f16))
app.Post("/embeddings", embeddingsEndpoint(cm, debug, loader, threads, ctxSize, f16))
// /v1/engines/{engine_id}/embeddings
app.Post("/v1/engines/:model/embeddings", embeddingsEndpoint(cm, debug, loader, threads, ctxSize, f16))
app.Post("/v1/audio/transcriptions", transcriptEndpoint(cm, debug, loader, threads, ctxSize, f16))
app.Get("/v1/models", listModels(loader, cm))
app.Get("/models", listModels(loader, cm))

View File

@@ -79,7 +79,7 @@ var _ = Describe("API test", func() {
It("returns errors", func() {
_, err := client.CreateCompletion(context.TODO(), openai.CompletionRequest{Model: "foomodel", Prompt: "abcdedfghikl"})
Expect(err).To(HaveOccurred())
Expect(err.Error()).To(ContainSubstring("error, status code: 500, message: could not load model - all backends returned error: 5 errors occurred:"))
Expect(err.Error()).To(ContainSubstring("error, status code: 500, message: could not load model - all backends returned error: 10 errors occurred:"))
})
})

View File

@@ -1,12 +1,16 @@
package api
import (
"encoding/json"
"fmt"
"io/ioutil"
"os"
"path/filepath"
"strings"
model "github.com/go-skynet/LocalAI/pkg/model"
"github.com/gofiber/fiber/v2"
"github.com/rs/zerolog/log"
"gopkg.in/yaml.v3"
)
@@ -21,8 +25,15 @@ type Config struct {
Threads int `yaml:"threads"`
Debug bool `yaml:"debug"`
Roles map[string]string `yaml:"roles"`
Embeddings bool `yaml:"embeddings"`
Backend string `yaml:"backend"`
TemplateConfig TemplateConfig `yaml:"template"`
MirostatETA float64 `yaml:"mirostat_eta"`
MirostatTAU float64 `yaml:"mirostat_tau"`
Mirostat int `yaml:"mirostat"`
PromptStrings, InputStrings []string
InputToken [][]int
}
type TemplateConfig struct {
@@ -100,3 +111,184 @@ func (cm ConfigMerger) LoadConfigs(path string) error {
return nil
}
func updateConfig(config *Config, input *OpenAIRequest) {
if input.Echo {
config.Echo = input.Echo
}
if input.TopK != 0 {
config.TopK = input.TopK
}
if input.TopP != 0 {
config.TopP = input.TopP
}
if input.Temperature != 0 {
config.Temperature = input.Temperature
}
if input.Maxtokens != 0 {
config.Maxtokens = input.Maxtokens
}
switch stop := input.Stop.(type) {
case string:
if stop != "" {
config.StopWords = append(config.StopWords, stop)
}
case []interface{}:
for _, pp := range stop {
if s, ok := pp.(string); ok {
config.StopWords = append(config.StopWords, s)
}
}
}
if input.RepeatPenalty != 0 {
config.RepeatPenalty = input.RepeatPenalty
}
if input.Keep != 0 {
config.Keep = input.Keep
}
if input.Batch != 0 {
config.Batch = input.Batch
}
if input.F16 {
config.F16 = input.F16
}
if input.IgnoreEOS {
config.IgnoreEOS = input.IgnoreEOS
}
if input.Seed != 0 {
config.Seed = input.Seed
}
if input.Mirostat != 0 {
config.Mirostat = input.Mirostat
}
if input.MirostatETA != 0 {
config.MirostatETA = input.MirostatETA
}
if input.MirostatTAU != 0 {
config.MirostatTAU = input.MirostatTAU
}
switch inputs := input.Input.(type) {
case string:
if inputs != "" {
config.InputStrings = append(config.InputStrings, inputs)
}
case []interface{}:
for _, pp := range inputs {
switch i := pp.(type) {
case string:
config.InputStrings = append(config.InputStrings, i)
case []interface{}:
tokens := []int{}
for _, ii := range i {
tokens = append(tokens, int(ii.(float64)))
}
config.InputToken = append(config.InputToken, tokens)
}
}
}
switch p := input.Prompt.(type) {
case string:
config.PromptStrings = append(config.PromptStrings, p)
case []interface{}:
for _, pp := range p {
if s, ok := pp.(string); ok {
config.PromptStrings = append(config.PromptStrings, s)
}
}
}
}
func readConfig(cm ConfigMerger, c *fiber.Ctx, loader *model.ModelLoader, debug bool, threads, ctx int, f16 bool) (*Config, *OpenAIRequest, error) {
input := new(OpenAIRequest)
// Get input data from the request body
if err := c.BodyParser(input); err != nil {
return nil, nil, err
}
modelFile := input.Model
if c.Params("model") != "" {
modelFile = c.Params("model")
}
received, _ := json.Marshal(input)
log.Debug().Msgf("Request received: %s", string(received))
// Set model from bearer token, if available
bearer := strings.TrimLeft(c.Get("authorization"), "Bearer ")
bearerExists := bearer != "" && loader.ExistsInModelPath(bearer)
// If no model was specified, take the first available
if modelFile == "" && !bearerExists {
models, _ := loader.ListModels()
if len(models) > 0 {
modelFile = models[0]
log.Debug().Msgf("No model specified, using: %s", modelFile)
} else {
log.Debug().Msgf("No model specified, returning error")
return nil, nil, fmt.Errorf("no model specified")
}
}
// If a model is found in bearer token takes precedence
if bearerExists {
log.Debug().Msgf("Using model from bearer token: %s", bearer)
modelFile = bearer
}
// Load a config file if present after the model name
modelConfig := filepath.Join(loader.ModelPath, modelFile+".yaml")
if _, err := os.Stat(modelConfig); err == nil {
if err := cm.LoadConfig(modelConfig); err != nil {
return nil, nil, fmt.Errorf("failed loading model config (%s) %s", modelConfig, err.Error())
}
}
var config *Config
cfg, exists := cm[modelFile]
if !exists {
config = &Config{
OpenAIRequest: defaultRequest(modelFile),
ContextSize: ctx,
Threads: threads,
F16: f16,
Debug: debug,
}
} else {
config = &cfg
}
// Set the parameters for the language model prediction
updateConfig(config, input)
// Don't allow 0 as setting
if config.Threads == 0 {
if threads != 0 {
config.Threads = threads
} else {
config.Threads = 4
}
}
// Enforce debug flag if passed from CLI
if debug {
config.Debug = true
}
return config, input, nil
}

View File

@@ -5,11 +5,17 @@ import (
"bytes"
"encoding/json"
"fmt"
"io"
"net/http"
"os"
"path"
"path/filepath"
"strings"
"github.com/ggerganov/whisper.cpp/bindings/go/pkg/whisper"
model "github.com/go-skynet/LocalAI/pkg/model"
whisperutil "github.com/go-skynet/LocalAI/pkg/whisper"
llama "github.com/go-skynet/go-llama.cpp"
"github.com/gofiber/fiber/v2"
"github.com/rs/zerolog/log"
"github.com/valyala/fasthttp"
@@ -33,13 +39,21 @@ type OpenAIUsage struct {
TotalTokens int `json:"total_tokens"`
}
type Item struct {
Embedding []float32 `json:"embedding"`
Index int `json:"index"`
Object string `json:"object,omitempty"`
}
type OpenAIResponse struct {
Created int `json:"created,omitempty"`
Object string `json:"object,omitempty"`
ID string `json:"id,omitempty"`
Model string `json:"model,omitempty"`
Choices []Choice `json:"choices,omitempty"`
Usage OpenAIUsage `json:"usage"`
Created int `json:"created,omitempty"`
Object string `json:"object,omitempty"`
ID string `json:"id,omitempty"`
Model string `json:"model,omitempty"`
Choices []Choice `json:"choices,omitempty"`
Data []Item `json:"data,omitempty"`
Usage OpenAIUsage `json:"usage"`
}
type Choice struct {
@@ -63,12 +77,17 @@ type OpenAIModel struct {
type OpenAIRequest struct {
Model string `json:"model" yaml:"model"`
// whisper
File string `json:"file" validate:"required"`
ResponseFormat string `json:"response_format"`
Language string `json:"language"`
// Prompt is read only by completion API calls
Prompt interface{} `json:"prompt" yaml:"prompt"`
// Edit endpoint
Instruction string `json:"instruction" yaml:"instruction"`
Input string `json:"input" yaml:"input"`
Instruction string `json:"instruction" yaml:"instruction"`
Input interface{} `json:"input" yaml:"input"`
Stop interface{} `json:"stop" yaml:"stop"`
@@ -92,6 +111,10 @@ type OpenAIRequest struct {
RepeatPenalty float64 `json:"repeat_penalty" yaml:"repeat_penalty"`
Keep int `json:"n_keep" yaml:"n_keep"`
MirostatETA float64 `json:"mirostat_eta" yaml:"mirostat_eta"`
MirostatTAU float64 `json:"mirostat_tau" yaml:"mirostat_tau"`
Mirostat int `json:"mirostat" yaml:"mirostat"`
Seed int `json:"seed" yaml:"seed"`
}
@@ -105,135 +128,6 @@ func defaultRequest(modelFile string) OpenAIRequest {
}
}
func updateConfig(config *Config, input *OpenAIRequest) {
if input.Echo {
config.Echo = input.Echo
}
if input.TopK != 0 {
config.TopK = input.TopK
}
if input.TopP != 0 {
config.TopP = input.TopP
}
if input.Temperature != 0 {
config.Temperature = input.Temperature
}
if input.Maxtokens != 0 {
config.Maxtokens = input.Maxtokens
}
switch stop := input.Stop.(type) {
case string:
if stop != "" {
config.StopWords = append(config.StopWords, stop)
}
case []interface{}:
for _, pp := range stop {
if s, ok := pp.(string); ok {
config.StopWords = append(config.StopWords, s)
}
}
}
if input.RepeatPenalty != 0 {
config.RepeatPenalty = input.RepeatPenalty
}
if input.Keep != 0 {
config.Keep = input.Keep
}
if input.Batch != 0 {
config.Batch = input.Batch
}
if input.F16 {
config.F16 = input.F16
}
if input.IgnoreEOS {
config.IgnoreEOS = input.IgnoreEOS
}
if input.Seed != 0 {
config.Seed = input.Seed
}
}
func readConfig(cm ConfigMerger, c *fiber.Ctx, loader *model.ModelLoader, debug bool, threads, ctx int, f16 bool) (*Config, *OpenAIRequest, error) {
input := new(OpenAIRequest)
// Get input data from the request body
if err := c.BodyParser(input); err != nil {
return nil, nil, err
}
modelFile := input.Model
received, _ := json.Marshal(input)
log.Debug().Msgf("Request received: %s", string(received))
// Set model from bearer token, if available
bearer := strings.TrimLeft(c.Get("authorization"), "Bearer ")
bearerExists := bearer != "" && loader.ExistsInModelPath(bearer)
// If no model was specified, take the first available
if modelFile == "" && !bearerExists {
models, _ := loader.ListModels()
if len(models) > 0 {
modelFile = models[0]
log.Debug().Msgf("No model specified, using: %s", modelFile)
} else {
log.Debug().Msgf("No model specified, returning error")
return nil, nil, fmt.Errorf("no model specified")
}
}
// If a model is found in bearer token takes precedence
if bearerExists {
log.Debug().Msgf("Using model from bearer token: %s", bearer)
modelFile = bearer
}
// Load a config file if present after the model name
modelConfig := filepath.Join(loader.ModelPath, modelFile+".yaml")
if _, err := os.Stat(modelConfig); err == nil {
if err := cm.LoadConfig(modelConfig); err != nil {
return nil, nil, fmt.Errorf("failed loading model config (%s) %s", modelConfig, err.Error())
}
}
var config *Config
cfg, exists := cm[modelFile]
if !exists {
config = &Config{
OpenAIRequest: defaultRequest(modelFile),
}
} else {
config = &cfg
}
// Set the parameters for the language model prediction
updateConfig(config, input)
if threads != 0 {
config.Threads = threads
}
if ctx != 0 {
config.ContextSize = ctx
}
if f16 {
config.F16 = true
}
if debug {
config.Debug = true
}
return config, input, nil
}
// https://platform.openai.com/docs/api-reference/completions
func completionEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, threads, ctx int, f16 bool) func(c *fiber.Ctx) error {
return func(c *fiber.Ctx) error {
@@ -244,19 +138,6 @@ func completionEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader,
log.Debug().Msgf("Parameter Config: %+v", config)
predInput := []string{}
switch p := input.Prompt.(type) {
case string:
predInput = append(predInput, p)
case []interface{}:
for _, pp := range p {
if s, ok := pp.(string); ok {
predInput = append(predInput, s)
}
}
}
templateFile := config.Model
if config.TemplateConfig.Completion != "" {
@@ -264,7 +145,7 @@ func completionEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader,
}
var result []Choice
for _, i := range predInput {
for _, i := range config.PromptStrings {
// A model can have a "file.bin.tmpl" file associated with a prompt template prefix
templatedInput, err := loader.TemplatePrefix(templateFile, struct {
Input string
@@ -298,7 +179,75 @@ func completionEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader,
}
}
// https://platform.openai.com/docs/api-reference/embeddings
func embeddingsEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, threads, ctx int, f16 bool) func(c *fiber.Ctx) error {
return func(c *fiber.Ctx) error {
config, input, err := readConfig(cm, c, loader, debug, threads, ctx, f16)
if err != nil {
return fmt.Errorf("failed reading parameters from request:%w", err)
}
log.Debug().Msgf("Parameter Config: %+v", config)
items := []Item{}
for i, s := range config.InputToken {
// get the model function to call for the result
embedFn, err := ModelEmbedding("", s, loader, *config)
if err != nil {
return err
}
embeddings, err := embedFn()
if err != nil {
return err
}
items = append(items, Item{Embedding: embeddings, Index: i, Object: "embedding"})
}
for i, s := range config.InputStrings {
// get the model function to call for the result
embedFn, err := ModelEmbedding(s, []int{}, loader, *config)
if err != nil {
return err
}
embeddings, err := embedFn()
if err != nil {
return err
}
items = append(items, Item{Embedding: embeddings, Index: i, Object: "embedding"})
}
resp := &OpenAIResponse{
Model: input.Model, // we have to return what the user sent here, due to OpenAI spec.
Data: items,
Object: "list",
}
jsonResult, _ := json.Marshal(resp)
log.Debug().Msgf("Response: %s", jsonResult)
// Return the prediction in the response body
return c.JSON(resp)
}
}
func chatEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, threads, ctx int, f16 bool) func(c *fiber.Ctx) error {
process := func(s string, req *OpenAIRequest, config *Config, loader *model.ModelLoader, responses chan OpenAIResponse) {
ComputeChoices(s, req, config, loader, func(s string, c *[]Choice) {}, func(s string) bool {
resp := OpenAIResponse{
Model: req.Model, // we have to return what the user sent here, due to OpenAI spec.
Choices: []Choice{{Delta: &Message{Role: "assistant", Content: s}}},
Object: "chat.completion.chunk",
}
log.Debug().Msgf("Sending goroutine: %s", s)
responses <- resp
return true
})
close(responses)
}
return func(c *fiber.Ctx) error {
config, input, err := readConfig(cm, c, loader, debug, threads, ctx, f16)
if err != nil {
@@ -350,19 +299,7 @@ func chatEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, thread
if input.Stream {
responses := make(chan OpenAIResponse)
go func() {
ComputeChoices(predInput, input, config, loader, func(s string, c *[]Choice) {}, func(s string) bool {
resp := OpenAIResponse{
Model: input.Model, // we have to return what the user sent here, due to OpenAI spec.
Choices: []Choice{{Delta: &Message{Role: "assistant", Content: s}}},
Object: "chat.completion.chunk",
}
responses <- resp
return true
})
close(responses)
}()
go process(predInput, input, config, loader, responses)
c.Context().SetBodyStreamWriter(fasthttp.StreamWriter(func(w *bufio.Writer) {
@@ -419,28 +356,32 @@ func editEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, thread
log.Debug().Msgf("Parameter Config: %+v", config)
predInput := input.Input
templateFile := config.Model
if config.TemplateConfig.Edit != "" {
templateFile = config.TemplateConfig.Edit
}
// A model can have a "file.bin.tmpl" file associated with a prompt template prefix
templatedInput, err := loader.TemplatePrefix(templateFile, struct {
Input string
Instruction string
}{Input: predInput, Instruction: input.Instruction})
if err == nil {
predInput = templatedInput
log.Debug().Msgf("Template found, input modified to: %s", predInput)
}
var result []Choice
for _, i := range config.InputStrings {
// A model can have a "file.bin.tmpl" file associated with a prompt template prefix
templatedInput, err := loader.TemplatePrefix(templateFile, struct {
Input string
Instruction string
}{Input: i})
if err == nil {
i = templatedInput
log.Debug().Msgf("Template found, input modified to: %s", i)
}
result, err := ComputeChoices(predInput, input, config, loader, func(s string, c *[]Choice) {
*c = append(*c, Choice{Text: s})
}, nil)
if err != nil {
return err
r, err := ComputeChoices(i, input, config, loader, func(s string, c *[]Choice) {
*c = append(*c, Choice{Text: s})
}, nil)
if err != nil {
return err
}
result = append(result, r...)
}
resp := &OpenAIResponse{
@@ -457,6 +398,64 @@ func editEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, thread
}
}
// https://platform.openai.com/docs/api-reference/audio/create
func transcriptEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, threads, ctx int, f16 bool) func(c *fiber.Ctx) error {
return func(c *fiber.Ctx) error {
config, input, err := readConfig(cm, c, loader, debug, threads, ctx, f16)
if err != nil {
return fmt.Errorf("failed reading parameters from request:%w", err)
}
// retrieve the file data from the request
file, err := c.FormFile("file")
if err != nil {
return c.Status(http.StatusBadRequest).JSON(fiber.Map{"error": err.Error()})
}
f, err := file.Open()
if err != nil {
return c.Status(http.StatusBadRequest).JSON(fiber.Map{"error": err.Error()})
}
defer f.Close()
log.Debug().Msgf("Audio file: %+v", file)
dir, err := os.MkdirTemp("", "whisper")
if err != nil {
return err
}
defer os.RemoveAll(dir)
dst := filepath.Join(dir, path.Base(file.Filename))
dstFile, err := os.Create(dst)
if err != nil {
return c.Status(http.StatusBadRequest).JSON(fiber.Map{"error": err.Error()})
}
if _, err := io.Copy(dstFile, f); err != nil {
log.Debug().Msgf("Audio file %+v - %+v - err %+v", file.Filename, dst, err)
return err
}
log.Debug().Msgf("Audio file copied to: %+v", dst)
whisperModel, err := loader.BackendLoader("whisper", config.Model, []llama.ModelOption{}, uint32(config.Threads))
if err != nil {
return c.Status(http.StatusBadRequest).JSON(fiber.Map{"error": err.Error()})
}
w := whisperModel.(whisper.Model)
tr, err := whisperutil.Transcript(w, dst, input.Language)
if err != nil {
return c.Status(http.StatusBadRequest).JSON(fiber.Map{"error": err.Error()})
}
log.Debug().Msgf("Trascribed: %+v", tr)
// TODO: handle different outputs here
return c.Status(http.StatusOK).JSON(fiber.Map{"text": tr})
}
}
func listModels(loader *model.ModelLoader, cm ConfigMerger) func(ctx *fiber.Ctx) error {
return func(c *fiber.Ctx) error {
models, err := loader.ListModels()

View File

@@ -8,101 +8,18 @@ import (
"github.com/donomii/go-rwkv.cpp"
model "github.com/go-skynet/LocalAI/pkg/model"
"github.com/go-skynet/bloomz.cpp"
bert "github.com/go-skynet/go-bert.cpp"
gpt2 "github.com/go-skynet/go-gpt2.cpp"
gptj "github.com/go-skynet/go-gpt4all-j.cpp"
llama "github.com/go-skynet/go-llama.cpp"
"github.com/hashicorp/go-multierror"
gpt4all "github.com/nomic/gpt4all/gpt4all-bindings/golang"
)
const tokenizerSuffix = ".tokenizer.json"
// mutex still needed, see: https://github.com/ggerganov/llama.cpp/discussions/784
var mutexMap sync.Mutex
var mutexes map[string]*sync.Mutex = make(map[string]*sync.Mutex)
var loadedModels map[string]interface{} = map[string]interface{}{}
var muModels sync.Mutex
func backendLoader(backendString string, loader *model.ModelLoader, modelFile string, llamaOpts []llama.ModelOption, threads uint32) (model interface{}, err error) {
switch strings.ToLower(backendString) {
case "llama":
return loader.LoadLLaMAModel(modelFile, llamaOpts...)
case "stablelm":
return loader.LoadStableLMModel(modelFile)
case "gpt2":
return loader.LoadGPT2Model(modelFile)
case "gptj":
return loader.LoadGPTJModel(modelFile)
case "rwkv":
return loader.LoadRWKV(modelFile, modelFile+tokenizerSuffix, threads)
default:
return nil, fmt.Errorf("backend unsupported: %s", backendString)
}
}
func greedyLoader(loader *model.ModelLoader, modelFile string, llamaOpts []llama.ModelOption, threads uint32) (model interface{}, err error) {
updateModels := func(model interface{}) {
muModels.Lock()
defer muModels.Unlock()
loadedModels[modelFile] = model
}
muModels.Lock()
m, exists := loadedModels[modelFile]
if exists {
muModels.Unlock()
return m, nil
}
muModels.Unlock()
model, modelerr := loader.LoadLLaMAModel(modelFile, llamaOpts...)
if modelerr == nil {
updateModels(model)
return model, nil
} else {
err = multierror.Append(err, modelerr)
}
model, modelerr = loader.LoadGPTJModel(modelFile)
if modelerr == nil {
updateModels(model)
return model, nil
} else {
err = multierror.Append(err, modelerr)
}
model, modelerr = loader.LoadGPT2Model(modelFile)
if modelerr == nil {
updateModels(model)
return model, nil
} else {
err = multierror.Append(err, modelerr)
}
model, modelerr = loader.LoadStableLMModel(modelFile)
if modelerr == nil {
updateModels(model)
return model, nil
} else {
err = multierror.Append(err, modelerr)
}
model, modelerr = loader.LoadRWKV(modelFile, modelFile+tokenizerSuffix, threads)
if modelerr == nil {
updateModels(model)
return model, nil
} else {
err = multierror.Append(err, modelerr)
}
return nil, fmt.Errorf("could not load model - all backends returned error: %s", err.Error())
}
func ModelInference(s string, loader *model.ModelLoader, c Config, tokenCallback func(string) bool) (func() (string, error), error) {
supportStreams := false
modelFile := c.Model
// Try to load the model
func defaultLLamaOpts(c Config) []llama.ModelOption {
llamaOpts := []llama.ModelOption{}
if c.ContextSize != 0 {
llamaOpts = append(llamaOpts, llama.SetContext(c.ContextSize))
@@ -110,13 +27,153 @@ func ModelInference(s string, loader *model.ModelLoader, c Config, tokenCallback
if c.F16 {
llamaOpts = append(llamaOpts, llama.EnableF16Memory)
}
if c.Embeddings {
llamaOpts = append(llamaOpts, llama.EnableEmbeddings)
}
return llamaOpts
}
func ModelEmbedding(s string, tokens []int, loader *model.ModelLoader, c Config) (func() ([]float32, error), error) {
if !c.Embeddings {
return nil, fmt.Errorf("endpoint disabled for this model by API configuration")
}
modelFile := c.Model
llamaOpts := defaultLLamaOpts(c)
var inferenceModel interface{}
var err error
if c.Backend == "" {
inferenceModel, err = greedyLoader(loader, modelFile, llamaOpts, uint32(c.Threads))
inferenceModel, err = loader.GreedyLoader(modelFile, llamaOpts, uint32(c.Threads))
} else {
inferenceModel, err = backendLoader(c.Backend, loader, modelFile, llamaOpts, uint32(c.Threads))
inferenceModel, err = loader.BackendLoader(c.Backend, modelFile, llamaOpts, uint32(c.Threads))
}
if err != nil {
return nil, err
}
var fn func() ([]float32, error)
switch model := inferenceModel.(type) {
case *llama.LLama:
fn = func() ([]float32, error) {
predictOptions := buildLLamaPredictOptions(c)
if len(tokens) > 0 {
return model.TokenEmbeddings(tokens, predictOptions...)
}
return model.Embeddings(s, predictOptions...)
}
// bert embeddings
case *bert.Bert:
fn = func() ([]float32, error) {
if len(tokens) > 0 {
return nil, fmt.Errorf("embeddings endpoint for this model supports only string")
}
return model.Embeddings(s, bert.SetThreads(c.Threads))
}
default:
fn = func() ([]float32, error) {
return nil, fmt.Errorf("embeddings not supported by the backend")
}
}
return func() ([]float32, error) {
// This is still needed, see: https://github.com/ggerganov/llama.cpp/discussions/784
mutexMap.Lock()
l, ok := mutexes[modelFile]
if !ok {
m := &sync.Mutex{}
mutexes[modelFile] = m
l = m
}
mutexMap.Unlock()
l.Lock()
defer l.Unlock()
embeds, err := fn()
if err != nil {
return embeds, err
}
// Remove trailing 0s
for i := len(embeds) - 1; i >= 0; i-- {
if embeds[i] == 0.0 {
embeds = embeds[:i]
} else {
break
}
}
return embeds, nil
}, nil
}
func buildLLamaPredictOptions(c Config) []llama.PredictOption {
// Generate the prediction using the language model
predictOptions := []llama.PredictOption{
llama.SetTemperature(c.Temperature),
llama.SetTopP(c.TopP),
llama.SetTopK(c.TopK),
llama.SetTokens(c.Maxtokens),
llama.SetThreads(c.Threads),
}
if c.Mirostat != 0 {
predictOptions = append(predictOptions, llama.SetMirostat(c.Mirostat))
}
if c.MirostatETA != 0 {
predictOptions = append(predictOptions, llama.SetMirostatETA(c.MirostatETA))
}
if c.MirostatTAU != 0 {
predictOptions = append(predictOptions, llama.SetMirostatTAU(c.MirostatTAU))
}
if c.Debug {
predictOptions = append(predictOptions, llama.Debug)
}
predictOptions = append(predictOptions, llama.SetStopWords(c.StopWords...))
if c.RepeatPenalty != 0 {
predictOptions = append(predictOptions, llama.SetPenalty(c.RepeatPenalty))
}
if c.Keep != 0 {
predictOptions = append(predictOptions, llama.SetNKeep(c.Keep))
}
if c.Batch != 0 {
predictOptions = append(predictOptions, llama.SetBatch(c.Batch))
}
if c.F16 {
predictOptions = append(predictOptions, llama.EnableF16KV)
}
if c.IgnoreEOS {
predictOptions = append(predictOptions, llama.IgnoreEOS)
}
if c.Seed != 0 {
predictOptions = append(predictOptions, llama.SetSeed(c.Seed))
}
return predictOptions
}
func ModelInference(s string, loader *model.ModelLoader, c Config, tokenCallback func(string) bool) (func() (string, error), error) {
supportStreams := false
modelFile := c.Model
llamaOpts := defaultLLamaOpts(c)
var inferenceModel interface{}
var err error
if c.Backend == "" {
inferenceModel, err = loader.GreedyLoader(modelFile, llamaOpts, uint32(c.Threads))
} else {
inferenceModel, err = loader.BackendLoader(c.Backend, modelFile, llamaOpts, uint32(c.Threads))
}
if err != nil {
return nil, err
@@ -142,6 +199,74 @@ func ModelInference(s string, loader *model.ModelLoader, c Config, tokenCallback
return response, nil
}
case *gpt2.Starcoder:
fn = func() (string, error) {
// Generate the prediction using the language model
predictOptions := []gpt2.PredictOption{
gpt2.SetTemperature(c.Temperature),
gpt2.SetTopP(c.TopP),
gpt2.SetTopK(c.TopK),
gpt2.SetTokens(c.Maxtokens),
gpt2.SetThreads(c.Threads),
}
if c.Batch != 0 {
predictOptions = append(predictOptions, gpt2.SetBatch(c.Batch))
}
if c.Seed != 0 {
predictOptions = append(predictOptions, gpt2.SetSeed(c.Seed))
}
return model.Predict(
s,
predictOptions...,
)
}
case *gpt2.RedPajama:
fn = func() (string, error) {
// Generate the prediction using the language model
predictOptions := []gpt2.PredictOption{
gpt2.SetTemperature(c.Temperature),
gpt2.SetTopP(c.TopP),
gpt2.SetTopK(c.TopK),
gpt2.SetTokens(c.Maxtokens),
gpt2.SetThreads(c.Threads),
}
if c.Batch != 0 {
predictOptions = append(predictOptions, gpt2.SetBatch(c.Batch))
}
if c.Seed != 0 {
predictOptions = append(predictOptions, gpt2.SetSeed(c.Seed))
}
return model.Predict(
s,
predictOptions...,
)
}
case *bloomz.Bloomz:
fn = func() (string, error) {
// Generate the prediction using the language model
predictOptions := []bloomz.PredictOption{
bloomz.SetTemperature(c.Temperature),
bloomz.SetTopP(c.TopP),
bloomz.SetTopK(c.TopK),
bloomz.SetTokens(c.Maxtokens),
bloomz.SetThreads(c.Threads),
}
if c.Seed != 0 {
predictOptions = append(predictOptions, bloomz.SetSeed(c.Seed))
}
return model.Predict(
s,
predictOptions...,
)
}
case *gpt2.StableLM:
fn = func() (string, error) {
// Generate the prediction using the language model
@@ -166,6 +291,30 @@ func ModelInference(s string, loader *model.ModelLoader, c Config, tokenCallback
predictOptions...,
)
}
case *gpt2.Dolly:
fn = func() (string, error) {
// Generate the prediction using the language model
predictOptions := []gpt2.PredictOption{
gpt2.SetTemperature(c.Temperature),
gpt2.SetTopP(c.TopP),
gpt2.SetTopK(c.TopK),
gpt2.SetTokens(c.Maxtokens),
gpt2.SetThreads(c.Threads),
}
if c.Batch != 0 {
predictOptions = append(predictOptions, gpt2.SetBatch(c.Batch))
}
if c.Seed != 0 {
predictOptions = append(predictOptions, gpt2.SetSeed(c.Seed))
}
return model.Predict(
s,
predictOptions...,
)
}
case *gpt2.GPT2:
fn = func() (string, error) {
// Generate the prediction using the language model
@@ -190,29 +339,35 @@ func ModelInference(s string, loader *model.ModelLoader, c Config, tokenCallback
predictOptions...,
)
}
case *gptj.GPTJ:
case *gpt4all.Model:
supportStreams = true
fn = func() (string, error) {
if tokenCallback != nil {
model.SetTokenCallback(tokenCallback)
}
// Generate the prediction using the language model
predictOptions := []gptj.PredictOption{
gptj.SetTemperature(c.Temperature),
gptj.SetTopP(c.TopP),
gptj.SetTopK(c.TopK),
gptj.SetTokens(c.Maxtokens),
gptj.SetThreads(c.Threads),
predictOptions := []gpt4all.PredictOption{
gpt4all.SetTemperature(c.Temperature),
gpt4all.SetTopP(c.TopP),
gpt4all.SetTopK(c.TopK),
gpt4all.SetTokens(c.Maxtokens),
}
if c.Batch != 0 {
predictOptions = append(predictOptions, gptj.SetBatch(c.Batch))
predictOptions = append(predictOptions, gpt4all.SetBatch(c.Batch))
}
if c.Seed != 0 {
predictOptions = append(predictOptions, gptj.SetSeed(c.Seed))
}
return model.Predict(
str, er := model.Predict(
s,
predictOptions...,
)
// Seems that if we don't free the callback explicitly we leave functions registered (that might try to send on closed channels)
// For instance otherwise the API returns: {"error":{"code":500,"message":"send on closed channel","type":""}}
// after a stream event has occurred
model.SetTokenCallback(nil)
return str, er
}
case *llama.LLama:
supportStreams = true
@@ -222,49 +377,17 @@ func ModelInference(s string, loader *model.ModelLoader, c Config, tokenCallback
model.SetTokenCallback(tokenCallback)
}
// Generate the prediction using the language model
predictOptions := []llama.PredictOption{
llama.SetTemperature(c.Temperature),
llama.SetTopP(c.TopP),
llama.SetTopK(c.TopK),
llama.SetTokens(c.Maxtokens),
llama.SetThreads(c.Threads),
}
predictOptions := buildLLamaPredictOptions(c)
if c.Debug {
predictOptions = append(predictOptions, llama.Debug)
}
predictOptions = append(predictOptions, llama.SetStopWords(c.StopWords...))
if c.RepeatPenalty != 0 {
predictOptions = append(predictOptions, llama.SetPenalty(c.RepeatPenalty))
}
if c.Keep != 0 {
predictOptions = append(predictOptions, llama.SetNKeep(c.Keep))
}
if c.Batch != 0 {
predictOptions = append(predictOptions, llama.SetBatch(c.Batch))
}
if c.F16 {
predictOptions = append(predictOptions, llama.EnableF16KV)
}
if c.IgnoreEOS {
predictOptions = append(predictOptions, llama.IgnoreEOS)
}
if c.Seed != 0 {
predictOptions = append(predictOptions, llama.SetSeed(c.Seed))
}
return model.Predict(
str, er := model.Predict(
s,
predictOptions...,
)
// Seems that if we don't free the callback explicitly we leave functions registered (that might try to send on closed channels)
// For instance otherwise the API returns: {"error":{"code":500,"message":"send on closed channel","type":""}}
// after a stream event has occurred
model.SetTokenCallback(nil)
return str, er
}
}

View File

@@ -2,14 +2,84 @@
Here is a list of projects that can easily be integrated with the LocalAI backend.
## Projects
### Projects
- [chatbot-ui](https://github.com/go-skynet/LocalAI/tree/master/examples/chatbot-ui/) (by [@mkellerman](https://github.com/mkellerman))
- [discord-bot](https://github.com/go-skynet/LocalAI/tree/master/examples/discord-bot/) (by [@mudler](https://github.com/mudler))
- [langchain](https://github.com/go-skynet/LocalAI/tree/master/examples/langchain/) (by [@dave-gray101](https://github.com/dave-gray101))
- [langchain-python](https://github.com/go-skynet/LocalAI/tree/master/examples/langchain-python/) (by [@mudler](https://github.com/mudler))
- [rwkv](https://github.com/go-skynet/LocalAI/tree/master/examples/rwkv/) (by [@mudler](https://github.com/mudler))
- [slack-bot](https://github.com/go-skynet/LocalAI/tree/master/examples/slack-bot/) (by [@mudler](https://github.com/mudler))
### Chatbot-UI
_by [@mkellerman](https://github.com/mkellerman)_
![Screenshot from 2023-04-26 23-59-55](https://user-images.githubusercontent.com/2420543/234715439-98d12e03-d3ce-4f94-ab54-2b256808e05e.png)
This integration shows how to use LocalAI with [mckaywrigley/chatbot-ui](https://github.com/mckaywrigley/chatbot-ui).
[Check it out here](https://github.com/go-skynet/LocalAI/tree/master/examples/chatbot-ui/)
### Discord bot
_by [@mudler](https://github.com/mudler)_
Run a discord bot which lets you talk directly with a model
[Check it out here](https://github.com/go-skynet/LocalAI/tree/master/examples/discord-bot/), or for a live demo you can talk with our bot in #random-bot in our discord server.
### Langchain
_by [@dave-gray101](https://github.com/dave-gray101)_
A ready to use example to show e2e how to integrate LocalAI with langchain
[Check it out here](https://github.com/go-skynet/LocalAI/tree/master/examples/langchain/)
### Langchain Python
_by [@mudler](https://github.com/mudler)_
A ready to use example to show e2e how to integrate LocalAI with langchain
[Check it out here](https://github.com/go-skynet/LocalAI/tree/master/examples/langchain-python/)
### LocalAI WebUI
_by [@dhruvgera](https://github.com/dhruvgera)_
![image](https://user-images.githubusercontent.com/42107491/235344183-44b5967d-ba22-4331-804c-8da7004a5d35.png)
A light, community-maintained web interface for LocalAI
[Check it out here](https://github.com/go-skynet/LocalAI/tree/master/examples/localai-webui/)
### How to run rwkv models
_by [@mudler](https://github.com/mudler)_
A full example on how to run RWKV models with LocalAI
[Check it out here](https://github.com/go-skynet/LocalAI/tree/master/examples/rwkv/)
### Slack bot
_by [@mudler](https://github.com/mudler)_
Run a slack bot which lets you talk directly with a model
[Check it out here](https://github.com/go-skynet/LocalAI/tree/master/examples/slack-bot/)
### Question answering on documents
_by [@mudler](https://github.com/mudler)_
Shows how to integrate with [Llama-Index](https://gpt-index.readthedocs.io/en/stable/getting_started/installation.html) to enable question answering on a set of documents.
[Check it out here](https://github.com/go-skynet/LocalAI/tree/master/examples/query_data/)
### Template for Runpod.io
_by [@fHachenberg](https://github.com/fHachenberg)_
Allows to run any LocalAI-compatible model as a backend on the servers of https://runpod.io
[Check it out here](https://runpod.io/gsc?template=uv9mtqnrd0&ref=984wlcra)
## Want to contribute?

View File

@@ -30,4 +30,6 @@ export OPENAI_API_KEY=sk-
python test.py
# A good company name for a company that makes colorful socks would be "Colorsocks".
python agent.py
```

View File

@@ -0,0 +1,44 @@
## This is a fork/based from https://gist.github.com/wiseman/4a706428eaabf4af1002a07a114f61d6
from io import StringIO
import sys
import os
from typing import Dict, Optional
from langchain.agents import load_tools
from langchain.agents import initialize_agent
from langchain.agents.tools import Tool
from langchain.llms import OpenAI
base_path = os.environ.get('OPENAI_API_BASE', 'http://localhost:8080/v1')
model_name = os.environ.get('MODEL_NAME', 'gpt-3.5-turbo')
class PythonREPL:
"""Simulates a standalone Python REPL."""
def __init__(self):
pass
def run(self, command: str) -> str:
"""Run command and returns anything printed."""
old_stdout = sys.stdout
sys.stdout = mystdout = StringIO()
try:
exec(command, globals())
sys.stdout = old_stdout
output = mystdout.getvalue()
except Exception as e:
sys.stdout = old_stdout
output = str(e)
return output
llm = OpenAI(temperature=0.0, openai_api_base=base_path, model_name=model_name)
python_repl = Tool(
"Python REPL",
PythonREPL().run,
"""A Python shell. Use this to execute python commands. Input should be a valid python command.
If you expect output it should be printed out.""",
)
tools = [python_repl]
agent = initialize_agent(tools, llm, agent="zero-shot-react-description", verbose=True)
agent.run("What is the 10th fibonacci number?")

View File

@@ -2,4 +2,4 @@ FROM python:3.10-bullseye
COPY ./langchainpy-localai-example /app
WORKDIR /app
RUN pip install --no-cache-dir -r requirements.txt
ENTRYPOINT [ "python", "./simple_demo.py" ];
ENTRYPOINT [ "python", "./full_demo.py" ];

View File

@@ -27,4 +27,4 @@ docker-compose --profile py up --build
## Copyright
Some of the example code in index.mts is adapted from the langchainjs project and is Copyright (c) Harrison Chase. Used under the terms of the MIT license, as is the remainder of this code.
Some of the example code in index.mts and full_demo.py is adapted from the langchainjs project and is Copyright (c) Harrison Chase. Used under the terms of the MIT license, as is the remainder of this code.

View File

@@ -13,7 +13,7 @@
"typeorm": "^0.3.15"
},
"devDependencies": {
"@types/node": "^18.16.3",
"@types/node": "^18.16.4",
"typescript": "^5.0.4"
}
},
@@ -45,9 +45,9 @@
"integrity": "sha512-Uy0+khmZqUrUGm5dmMqVlnvufZRSK0FbYzVgp0UMstm+F5+W2/jnEEQyc9vo1ZR/E5ZI/B1WjjoTqBqwJL6Krw=="
},
"node_modules/@types/node": {
"version": "18.16.3",
"resolved": "https://registry.npmjs.org/@types/node/-/node-18.16.3.tgz",
"integrity": "sha512-OPs5WnnT1xkCBiuQrZA4+YAV4HEJejmHneyraIaxsbev5yCEr6KMwINNFP9wQeFIw8FWcoTqF3vQsa5CDaI+8Q==",
"version": "18.16.4",
"resolved": "https://registry.npmjs.org/@types/node/-/node-18.16.4.tgz",
"integrity": "sha512-LUhvPmAKAbgm+p/K11IWszLZVoZDlMF4NRmqbhEzDz/CnCuehPkZXwZbBCKGJsgjnuVejotBwM7B3Scrq4EqDw==",
"dev": true
},
"node_modules/@types/retry": {
@@ -137,13 +137,6 @@
"resolved": "https://registry.npmjs.org/binary-search/-/binary-search-1.3.6.tgz",
"integrity": "sha512-nbE1WxOTTrUWIfsfZ4aHGYu5DOuNkbxGokjV6Z2kxfJK3uaAb8zNK1muzOeipoLHZjInT4Br88BHpzevc681xA=="
},
"node_modules/boolbase": {
"version": "1.0.0",
"resolved": "https://registry.npmjs.org/boolbase/-/boolbase-1.0.0.tgz",
"integrity": "sha512-JZOSA7Mo9sNGB8+UjSgzdLtokWAky1zbztM3WRLCbZ70/3cTANmQmOdR7y2g+J0e2WXywy1yS468tY+IruqEww==",
"optional": true,
"peer": true
},
"node_modules/brace-expansion": {
"version": "2.0.1",
"resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-2.0.1.tgz",
@@ -209,73 +202,6 @@
"url": "https://github.com/chalk/ansi-styles?sponsor=1"
}
},
"node_modules/cheerio": {
"version": "1.0.0-rc.12",
"resolved": "https://registry.npmjs.org/cheerio/-/cheerio-1.0.0-rc.12.tgz",
"integrity": "sha512-VqR8m68vM46BNnuZ5NtnGBKIE/DfN0cRIzg9n40EIq9NOv90ayxLBXA8fXC5gquFRGJSTRqBq25Jt2ECLR431Q==",
"optional": true,
"peer": true,
"dependencies": {
"cheerio-select": "^2.1.0",
"dom-serializer": "^2.0.0",
"domhandler": "^5.0.3",
"domutils": "^3.0.1",
"htmlparser2": "^8.0.1",
"parse5": "^7.0.0",
"parse5-htmlparser2-tree-adapter": "^7.0.0"
},
"engines": {
"node": ">= 6"
},
"funding": {
"url": "https://github.com/cheeriojs/cheerio?sponsor=1"
}
},
"node_modules/cheerio-select": {
"version": "2.1.0",
"resolved": "https://registry.npmjs.org/cheerio-select/-/cheerio-select-2.1.0.tgz",
"integrity": "sha512-9v9kG0LvzrlcungtnJtpGNxY+fzECQKhK4EGJX2vByejiMX84MFNQw4UxPJl3bFbTMw+Dfs37XaIkCwTZfLh4g==",
"optional": true,
"peer": true,
"dependencies": {
"boolbase": "^1.0.0",
"css-select": "^5.1.0",
"css-what": "^6.1.0",
"domelementtype": "^2.3.0",
"domhandler": "^5.0.3",
"domutils": "^3.0.1"
},
"funding": {
"url": "https://github.com/sponsors/fb55"
}
},
"node_modules/cheerio/node_modules/parse5": {
"version": "7.1.2",
"resolved": "https://registry.npmjs.org/parse5/-/parse5-7.1.2.tgz",
"integrity": "sha512-Czj1WaSVpaoj0wbhMzLmWD69anp2WH7FXMB9n1Sy8/ZFF9jolSQVMu1Ij5WIyGmcBmhk7EOndpO4mIpihVqAXw==",
"optional": true,
"peer": true,
"dependencies": {
"entities": "^4.4.0"
},
"funding": {
"url": "https://github.com/inikulin/parse5?sponsor=1"
}
},
"node_modules/cheerio/node_modules/parse5-htmlparser2-tree-adapter": {
"version": "7.0.0",
"resolved": "https://registry.npmjs.org/parse5-htmlparser2-tree-adapter/-/parse5-htmlparser2-tree-adapter-7.0.0.tgz",
"integrity": "sha512-B77tOZrqqfUfnVcOrUvfdLbz4pu4RopLD/4vmu3HUPswwTA8OH0EMW9BlWR2B0RCoiZRAHEUu7IxeP1Pd1UU+g==",
"optional": true,
"peer": true,
"dependencies": {
"domhandler": "^5.0.2",
"parse5": "^7.0.0"
},
"funding": {
"url": "https://github.com/inikulin/parse5?sponsor=1"
}
},
"node_modules/cli-highlight": {
"version": "2.1.11",
"resolved": "https://registry.npmjs.org/cli-highlight/-/cli-highlight-2.1.11.tgz",
@@ -379,36 +305,6 @@
"node-fetch": "2.6.7"
}
},
"node_modules/css-select": {
"version": "5.1.0",
"resolved": "https://registry.npmjs.org/css-select/-/css-select-5.1.0.tgz",
"integrity": "sha512-nwoRF1rvRRnnCqqY7updORDsuqKzqYJ28+oSMaJMMgOauh3fvwHqMS7EZpIPqK8GL+g9mKxF1vP/ZjSeNjEVHg==",
"optional": true,
"peer": true,
"dependencies": {
"boolbase": "^1.0.0",
"css-what": "^6.1.0",
"domhandler": "^5.0.2",
"domutils": "^3.0.1",
"nth-check": "^2.0.1"
},
"funding": {
"url": "https://github.com/sponsors/fb55"
}
},
"node_modules/css-what": {
"version": "6.1.0",
"resolved": "https://registry.npmjs.org/css-what/-/css-what-6.1.0.tgz",
"integrity": "sha512-HTUrgRJ7r4dsZKU6GjmpfRK1O76h97Z8MfS1G0FozR+oF2kG6Vfe8JE6zwrkbxigziPHinCJ+gCPjA9EaBDtRw==",
"optional": true,
"peer": true,
"engines": {
"node": ">= 6"
},
"funding": {
"url": "https://github.com/sponsors/fb55"
}
},
"node_modules/debug": {
"version": "4.3.4",
"resolved": "https://registry.npmjs.org/debug/-/debug-4.3.4.tgz",
@@ -433,65 +329,6 @@
"node": ">=0.4.0"
}
},
"node_modules/dom-serializer": {
"version": "2.0.0",
"resolved": "https://registry.npmjs.org/dom-serializer/-/dom-serializer-2.0.0.tgz",
"integrity": "sha512-wIkAryiqt/nV5EQKqQpo3SToSOV9J0DnbJqwK7Wv/Trc92zIAYZ4FlMu+JPFW1DfGFt81ZTCGgDEabffXeLyJg==",
"optional": true,
"peer": true,
"dependencies": {
"domelementtype": "^2.3.0",
"domhandler": "^5.0.2",
"entities": "^4.2.0"
},
"funding": {
"url": "https://github.com/cheeriojs/dom-serializer?sponsor=1"
}
},
"node_modules/domelementtype": {
"version": "2.3.0",
"resolved": "https://registry.npmjs.org/domelementtype/-/domelementtype-2.3.0.tgz",
"integrity": "sha512-OLETBj6w0OsagBwdXnPdN0cnMfF9opN69co+7ZrbfPGrdpPVNBUj02spi6B1N7wChLQiPn4CSH/zJvXw56gmHw==",
"funding": [
{
"type": "github",
"url": "https://github.com/sponsors/fb55"
}
],
"optional": true,
"peer": true
},
"node_modules/domhandler": {
"version": "5.0.3",
"resolved": "https://registry.npmjs.org/domhandler/-/domhandler-5.0.3.tgz",
"integrity": "sha512-cgwlv/1iFQiFnU96XXgROh8xTeetsnJiDsTc7TYCLFd9+/WNkIqPTxiM/8pSd8VIrhXGTf1Ny1q1hquVqDJB5w==",
"optional": true,
"peer": true,
"dependencies": {
"domelementtype": "^2.3.0"
},
"engines": {
"node": ">= 4"
},
"funding": {
"url": "https://github.com/fb55/domhandler?sponsor=1"
}
},
"node_modules/domutils": {
"version": "3.1.0",
"resolved": "https://registry.npmjs.org/domutils/-/domutils-3.1.0.tgz",
"integrity": "sha512-H78uMmQtI2AhgDJjWeQmHwJJ2bLPD3GMmO7Zja/ZZh84wkm+4ut+IUnUdRa8uCGX88DiVx1j6FRe1XfxEgjEZA==",
"optional": true,
"peer": true,
"dependencies": {
"dom-serializer": "^2.0.0",
"domelementtype": "^2.3.0",
"domhandler": "^5.0.3"
},
"funding": {
"url": "https://github.com/fb55/domutils?sponsor=1"
}
},
"node_modules/dotenv": {
"version": "16.0.3",
"resolved": "https://registry.npmjs.org/dotenv/-/dotenv-16.0.3.tgz",
@@ -505,19 +342,6 @@
"resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-8.0.0.tgz",
"integrity": "sha512-MSjYzcWNOA0ewAHpz0MxpYFvwg6yjy1NG3xteoqz644VCo/RPgnr1/GGt+ic3iJTzQ8Eu3TdM14SawnVUmGE6A=="
},
"node_modules/entities": {
"version": "4.5.0",
"resolved": "https://registry.npmjs.org/entities/-/entities-4.5.0.tgz",
"integrity": "sha512-V0hjH4dGPh9Ao5p0MoRY6BVqtwCjhz6vI5LT8AJ55H+4g9/4vbHx1I54fS0XuclLhDHArPQCiMjDxjaL8fPxhw==",
"optional": true,
"peer": true,
"engines": {
"node": ">=0.12"
},
"funding": {
"url": "https://github.com/fb55/entities?sponsor=1"
}
},
"node_modules/escalade": {
"version": "3.1.1",
"resolved": "https://registry.npmjs.org/escalade/-/escalade-3.1.1.tgz",
@@ -623,26 +447,6 @@
"node": "*"
}
},
"node_modules/htmlparser2": {
"version": "8.0.2",
"resolved": "https://registry.npmjs.org/htmlparser2/-/htmlparser2-8.0.2.tgz",
"integrity": "sha512-GYdjWKDkbRLkZ5geuHs5NY1puJ+PXwP7+fHPRz06Eirsb9ugf6d8kkXav6ADhcODhFFPMIXyxkxSuMf3D6NCFA==",
"funding": [
"https://github.com/fb55/htmlparser2?sponsor=1",
{
"type": "github",
"url": "https://github.com/sponsors/fb55"
}
],
"optional": true,
"peer": true,
"dependencies": {
"domelementtype": "^2.3.0",
"domhandler": "^5.0.3",
"domutils": "^3.0.1",
"entities": "^4.4.0"
}
},
"node_modules/ieee754": {
"version": "1.2.1",
"resolved": "https://registry.npmjs.org/ieee754/-/ieee754-1.2.1.tgz",
@@ -962,19 +766,6 @@
}
}
},
"node_modules/nth-check": {
"version": "2.1.1",
"resolved": "https://registry.npmjs.org/nth-check/-/nth-check-2.1.1.tgz",
"integrity": "sha512-lqjrjmaOoAnWfMmBPL+XNnynZh2+swxiX3WUE0s4yEHI6m+AwrK2UZOimIRl3X/4QctVqS8AiZjFqyOGrMXb/w==",
"optional": true,
"peer": true,
"dependencies": {
"boolbase": "^1.0.0"
},
"funding": {
"url": "https://github.com/fb55/nth-check?sponsor=1"
}
},
"node_modules/num-sort": {
"version": "2.1.0",
"resolved": "https://registry.npmjs.org/num-sort/-/num-sort-2.1.0.tgz",
@@ -1457,9 +1248,9 @@
"integrity": "sha512-Uy0+khmZqUrUGm5dmMqVlnvufZRSK0FbYzVgp0UMstm+F5+W2/jnEEQyc9vo1ZR/E5ZI/B1WjjoTqBqwJL6Krw=="
},
"@types/node": {
"version": "18.16.3",
"resolved": "https://registry.npmjs.org/@types/node/-/node-18.16.3.tgz",
"integrity": "sha512-OPs5WnnT1xkCBiuQrZA4+YAV4HEJejmHneyraIaxsbev5yCEr6KMwINNFP9wQeFIw8FWcoTqF3vQsa5CDaI+8Q==",
"version": "18.16.4",
"resolved": "https://registry.npmjs.org/@types/node/-/node-18.16.4.tgz",
"integrity": "sha512-LUhvPmAKAbgm+p/K11IWszLZVoZDlMF4NRmqbhEzDz/CnCuehPkZXwZbBCKGJsgjnuVejotBwM7B3Scrq4EqDw==",
"dev": true
},
"@types/retry": {
@@ -1520,13 +1311,6 @@
"resolved": "https://registry.npmjs.org/binary-search/-/binary-search-1.3.6.tgz",
"integrity": "sha512-nbE1WxOTTrUWIfsfZ4aHGYu5DOuNkbxGokjV6Z2kxfJK3uaAb8zNK1muzOeipoLHZjInT4Br88BHpzevc681xA=="
},
"boolbase": {
"version": "1.0.0",
"resolved": "https://registry.npmjs.org/boolbase/-/boolbase-1.0.0.tgz",
"integrity": "sha512-JZOSA7Mo9sNGB8+UjSgzdLtokWAky1zbztM3WRLCbZ70/3cTANmQmOdR7y2g+J0e2WXywy1yS468tY+IruqEww==",
"optional": true,
"peer": true
},
"brace-expansion": {
"version": "2.0.1",
"resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-2.0.1.tgz",
@@ -1568,60 +1352,6 @@
}
}
},
"cheerio": {
"version": "1.0.0-rc.12",
"resolved": "https://registry.npmjs.org/cheerio/-/cheerio-1.0.0-rc.12.tgz",
"integrity": "sha512-VqR8m68vM46BNnuZ5NtnGBKIE/DfN0cRIzg9n40EIq9NOv90ayxLBXA8fXC5gquFRGJSTRqBq25Jt2ECLR431Q==",
"optional": true,
"peer": true,
"requires": {
"cheerio-select": "^2.1.0",
"dom-serializer": "^2.0.0",
"domhandler": "^5.0.3",
"domutils": "^3.0.1",
"htmlparser2": "^8.0.1",
"parse5": "^7.0.0",
"parse5-htmlparser2-tree-adapter": "^7.0.0"
},
"dependencies": {
"parse5": {
"version": "7.1.2",
"resolved": "https://registry.npmjs.org/parse5/-/parse5-7.1.2.tgz",
"integrity": "sha512-Czj1WaSVpaoj0wbhMzLmWD69anp2WH7FXMB9n1Sy8/ZFF9jolSQVMu1Ij5WIyGmcBmhk7EOndpO4mIpihVqAXw==",
"optional": true,
"peer": true,
"requires": {
"entities": "^4.4.0"
}
},
"parse5-htmlparser2-tree-adapter": {
"version": "7.0.0",
"resolved": "https://registry.npmjs.org/parse5-htmlparser2-tree-adapter/-/parse5-htmlparser2-tree-adapter-7.0.0.tgz",
"integrity": "sha512-B77tOZrqqfUfnVcOrUvfdLbz4pu4RopLD/4vmu3HUPswwTA8OH0EMW9BlWR2B0RCoiZRAHEUu7IxeP1Pd1UU+g==",
"optional": true,
"peer": true,
"requires": {
"domhandler": "^5.0.2",
"parse5": "^7.0.0"
}
}
}
},
"cheerio-select": {
"version": "2.1.0",
"resolved": "https://registry.npmjs.org/cheerio-select/-/cheerio-select-2.1.0.tgz",
"integrity": "sha512-9v9kG0LvzrlcungtnJtpGNxY+fzECQKhK4EGJX2vByejiMX84MFNQw4UxPJl3bFbTMw+Dfs37XaIkCwTZfLh4g==",
"optional": true,
"peer": true,
"requires": {
"boolbase": "^1.0.0",
"css-select": "^5.1.0",
"css-what": "^6.1.0",
"domelementtype": "^2.3.0",
"domhandler": "^5.0.3",
"domutils": "^3.0.1"
}
},
"cli-highlight": {
"version": "2.1.11",
"resolved": "https://registry.npmjs.org/cli-highlight/-/cli-highlight-2.1.11.tgz",
@@ -1705,27 +1435,6 @@
"node-fetch": "2.6.7"
}
},
"css-select": {
"version": "5.1.0",
"resolved": "https://registry.npmjs.org/css-select/-/css-select-5.1.0.tgz",
"integrity": "sha512-nwoRF1rvRRnnCqqY7updORDsuqKzqYJ28+oSMaJMMgOauh3fvwHqMS7EZpIPqK8GL+g9mKxF1vP/ZjSeNjEVHg==",
"optional": true,
"peer": true,
"requires": {
"boolbase": "^1.0.0",
"css-what": "^6.1.0",
"domhandler": "^5.0.2",
"domutils": "^3.0.1",
"nth-check": "^2.0.1"
}
},
"css-what": {
"version": "6.1.0",
"resolved": "https://registry.npmjs.org/css-what/-/css-what-6.1.0.tgz",
"integrity": "sha512-HTUrgRJ7r4dsZKU6GjmpfRK1O76h97Z8MfS1G0FozR+oF2kG6Vfe8JE6zwrkbxigziPHinCJ+gCPjA9EaBDtRw==",
"optional": true,
"peer": true
},
"debug": {
"version": "4.3.4",
"resolved": "https://registry.npmjs.org/debug/-/debug-4.3.4.tgz",
@@ -1739,47 +1448,6 @@
"resolved": "https://registry.npmjs.org/delayed-stream/-/delayed-stream-1.0.0.tgz",
"integrity": "sha512-ZySD7Nf91aLB0RxL4KGrKHBXl7Eds1DAmEdcoVawXnLD7SDhpNgtuII2aAkg7a7QS41jxPSZ17p4VdGnMHk3MQ=="
},
"dom-serializer": {
"version": "2.0.0",
"resolved": "https://registry.npmjs.org/dom-serializer/-/dom-serializer-2.0.0.tgz",
"integrity": "sha512-wIkAryiqt/nV5EQKqQpo3SToSOV9J0DnbJqwK7Wv/Trc92zIAYZ4FlMu+JPFW1DfGFt81ZTCGgDEabffXeLyJg==",
"optional": true,
"peer": true,
"requires": {
"domelementtype": "^2.3.0",
"domhandler": "^5.0.2",
"entities": "^4.2.0"
}
},
"domelementtype": {
"version": "2.3.0",
"resolved": "https://registry.npmjs.org/domelementtype/-/domelementtype-2.3.0.tgz",
"integrity": "sha512-OLETBj6w0OsagBwdXnPdN0cnMfF9opN69co+7ZrbfPGrdpPVNBUj02spi6B1N7wChLQiPn4CSH/zJvXw56gmHw==",
"optional": true,
"peer": true
},
"domhandler": {
"version": "5.0.3",
"resolved": "https://registry.npmjs.org/domhandler/-/domhandler-5.0.3.tgz",
"integrity": "sha512-cgwlv/1iFQiFnU96XXgROh8xTeetsnJiDsTc7TYCLFd9+/WNkIqPTxiM/8pSd8VIrhXGTf1Ny1q1hquVqDJB5w==",
"optional": true,
"peer": true,
"requires": {
"domelementtype": "^2.3.0"
}
},
"domutils": {
"version": "3.1.0",
"resolved": "https://registry.npmjs.org/domutils/-/domutils-3.1.0.tgz",
"integrity": "sha512-H78uMmQtI2AhgDJjWeQmHwJJ2bLPD3GMmO7Zja/ZZh84wkm+4ut+IUnUdRa8uCGX88DiVx1j6FRe1XfxEgjEZA==",
"optional": true,
"peer": true,
"requires": {
"dom-serializer": "^2.0.0",
"domelementtype": "^2.3.0",
"domhandler": "^5.0.3"
}
},
"dotenv": {
"version": "16.0.3",
"resolved": "https://registry.npmjs.org/dotenv/-/dotenv-16.0.3.tgz",
@@ -1790,13 +1458,6 @@
"resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-8.0.0.tgz",
"integrity": "sha512-MSjYzcWNOA0ewAHpz0MxpYFvwg6yjy1NG3xteoqz644VCo/RPgnr1/GGt+ic3iJTzQ8Eu3TdM14SawnVUmGE6A=="
},
"entities": {
"version": "4.5.0",
"resolved": "https://registry.npmjs.org/entities/-/entities-4.5.0.tgz",
"integrity": "sha512-V0hjH4dGPh9Ao5p0MoRY6BVqtwCjhz6vI5LT8AJ55H+4g9/4vbHx1I54fS0XuclLhDHArPQCiMjDxjaL8fPxhw==",
"optional": true,
"peer": true
},
"escalade": {
"version": "3.1.1",
"resolved": "https://registry.npmjs.org/escalade/-/escalade-3.1.1.tgz",
@@ -1864,19 +1525,6 @@
"resolved": "https://registry.npmjs.org/highlight.js/-/highlight.js-10.7.3.tgz",
"integrity": "sha512-tzcUFauisWKNHaRkN4Wjl/ZA07gENAjFl3J/c480dprkGTg5EQstgaNFqBfUqCq54kZRIEcreTsAgF/m2quD7A=="
},
"htmlparser2": {
"version": "8.0.2",
"resolved": "https://registry.npmjs.org/htmlparser2/-/htmlparser2-8.0.2.tgz",
"integrity": "sha512-GYdjWKDkbRLkZ5geuHs5NY1puJ+PXwP7+fHPRz06Eirsb9ugf6d8kkXav6ADhcODhFFPMIXyxkxSuMf3D6NCFA==",
"optional": true,
"peer": true,
"requires": {
"domelementtype": "^2.3.0",
"domhandler": "^5.0.3",
"domutils": "^3.0.1",
"entities": "^4.4.0"
}
},
"ieee754": {
"version": "1.2.1",
"resolved": "https://registry.npmjs.org/ieee754/-/ieee754-1.2.1.tgz",
@@ -2024,16 +1672,6 @@
"whatwg-url": "^5.0.0"
}
},
"nth-check": {
"version": "2.1.1",
"resolved": "https://registry.npmjs.org/nth-check/-/nth-check-2.1.1.tgz",
"integrity": "sha512-lqjrjmaOoAnWfMmBPL+XNnynZh2+swxiX3WUE0s4yEHI6m+AwrK2UZOimIRl3X/4QctVqS8AiZjFqyOGrMXb/w==",
"optional": true,
"peer": true,
"requires": {
"boolbase": "^1.0.0"
}
},
"num-sort": {
"version": "2.1.0",
"resolved": "https://registry.npmjs.org/num-sort/-/num-sort-2.1.0.tgz",

View File

@@ -11,7 +11,7 @@
"author": "dave@gray101.com",
"license": "MIT",
"devDependencies": {
"@types/node": "^18.16.3",
"@types/node": "^18.16.4",
"typescript": "^5.0.4"
},
"dependencies": {

View File

@@ -1,4 +1,6 @@
import os
import logging
from langchain.chat_models import ChatOpenAI
from langchain import PromptTemplate, LLMChain
from langchain.prompts.chat import (
@@ -13,6 +15,9 @@ from langchain.schema import (
SystemMessage
)
# This logging incantation makes it easy to see that you're actually reaching your LocalAI instance rather than OpenAI.
logging.basicConfig(level=logging.DEBUG)
print('Langchain + LocalAI PYTHON Tests')
base_path = os.environ.get('OPENAI_API_BASE', 'http://api:8080/v1')
@@ -24,7 +29,7 @@ chat = ChatOpenAI(temperature=0, openai_api_base=base_path, openai_api_key=key,
print("Created ChatOpenAI for ", chat.model_name)
template = "You are a helpful assistant that translates {input_language} to {output_language}."
template = "You are a helpful assistant that translates {input_language} to {output_language}. The next message will be a sentence in {input_language}. Respond ONLY with the translation in {output_language}. Do not respond in {input_language}!"
system_message_prompt = SystemMessagePromptTemplate.from_template(template)
human_template = "{text}"
human_message_prompt = HumanMessagePromptTemplate.from_template(human_template)
@@ -34,6 +39,8 @@ chat_prompt = ChatPromptTemplate.from_messages([system_message_prompt, human_mes
print("ABOUT to execute")
# get a chat completion from the formatted messages
chat(chat_prompt.format_prompt(input_language="English", output_language="French", text="I love programming.").to_messages())
response = chat(chat_prompt.format_prompt(input_language="English", output_language="French", text="I love programming.").to_messages())
print(response)
print(".");

View File

@@ -10,7 +10,7 @@ debugpy==1.6.7
frozenlist==1.3.3
greenlet==2.0.2
idna==3.4
langchain==0.0.157
langchain==0.0.159
marshmallow==3.19.0
marshmallow-enum==1.5.1
multidict==6.0.4

View File

@@ -15,4 +15,4 @@ roles:
backend: "gptj"
template:
completion: completion
chat: completion # gpt4all
chat: gpt4all

View File

@@ -0,0 +1,26 @@
# localai-webui
Example of integration with [dhruvgera/localai-frontend](https://github.com/Dhruvgera/LocalAI-frontend).
![image](https://user-images.githubusercontent.com/42107491/235344183-44b5967d-ba22-4331-804c-8da7004a5d35.png)
## Setup
```bash
# Clone LocalAI
git clone https://github.com/go-skynet/LocalAI
cd LocalAI/examples/localai-webui
# (optional) Checkout a specific LocalAI tag
# git checkout -b build <TAG>
# Download any desired models to models/ in the parent LocalAI project dir
# For example: wget https://gpt4all.io/models/ggml-gpt4all-j.bin
# start with docker-compose
docker-compose up -d --build
```
Open http://localhost:3000 for the Web UI.

View File

@@ -0,0 +1,20 @@
version: '3.6'
services:
api:
image: quay.io/go-skynet/local-ai:latest
build:
context: .
dockerfile: Dockerfile
ports:
- 8080:8080
env_file:
- .env
volumes:
- ./models:/models:cached
command: ["/usr/bin/local-ai"]
frontend:
image: quay.io/go-skynet/localai-frontend:master
ports:
- 3000:3000

1
examples/query_data/.gitignore vendored Normal file
View File

@@ -0,0 +1 @@
storage/

View File

@@ -0,0 +1,67 @@
# Data query example
This example makes use of [Llama-Index](https://gpt-index.readthedocs.io/en/stable/getting_started/installation.html) to enable question answering on a set of documents.
It loosely follows [the quickstart](https://gpt-index.readthedocs.io/en/stable/guides/primer/usage_pattern.html).
Summary of the steps:
- prepare the dataset (and store it into `data`)
- prepare a vector index database to run queries on
- run queries
## Requirements
You will need a training data set. Copy that over `data`.
## Setup
Start the API:
```bash
# Clone LocalAI
git clone https://github.com/go-skynet/LocalAI
cd LocalAI/examples/query_data
wget https://huggingface.co/skeskinen/ggml/resolve/main/all-MiniLM-L6-v2/ggml-model-q4_0.bin -O models/bert
wget https://gpt4all.io/models/ggml-gpt4all-j.bin -O models/ggml-gpt4all-j
# start with docker-compose
docker-compose up -d --build
```
### Create a storage
In this step we will create a local vector database from our document set, so later we can ask questions on it with the LLM.
```bash
export OPENAI_API_BASE=http://localhost:8080/v1
export OPENAI_API_KEY=sk-
python store.py
```
After it finishes, a directory "storage" will be created with the vector index database.
## Query
We can now query the dataset.
```bash
export OPENAI_API_BASE=http://localhost:8080/v1
export OPENAI_API_KEY=sk-
python query.py
```
## Update
To update our vector database, run `update.py`
```bash
export OPENAI_API_BASE=http://localhost:8080/v1
export OPENAI_API_KEY=sk-
python update.py
```

View File

View File

@@ -0,0 +1,15 @@
version: '3.6'
services:
api:
image: quay.io/go-skynet/local-ai:latest
build:
context: .
dockerfile: Dockerfile
ports:
- 8080:8080
env_file:
- .env
volumes:
- ./models:/models:cached
command: ["/usr/bin/local-ai"]

View File

@@ -0,0 +1 @@
{{.Input}}

View File

@@ -0,0 +1,6 @@
name: text-embedding-ada-002
parameters:
model: bert
threads: 14
backend: bert-embeddings
embeddings: true

View File

@@ -0,0 +1,17 @@
name: gpt-3.5-turbo
parameters:
model: ggml-gpt4all-j
top_k: 80
temperature: 0.2
top_p: 0.7
context_size: 1024
threads: 14
stopwords:
- "HUMAN:"
- "GPT:"
roles:
user: " "
system: " "
template:
completion: completion
chat: gpt4all

View File

@@ -0,0 +1,35 @@
import os
# Uncomment to specify your OpenAI API key here (local testing only, not in production!), or add corresponding environment variable (recommended)
# os.environ['OPENAI_API_KEY']= ""
from llama_index import LLMPredictor, PromptHelper, ServiceContext
from langchain.llms.openai import OpenAI
from llama_index import StorageContext, load_index_from_storage
base_path = os.environ.get('OPENAI_API_BASE', 'http://localhost:8080/v1')
# This example uses text-davinci-003 by default; feel free to change if desired
llm_predictor = LLMPredictor(llm=OpenAI(temperature=0, model_name="gpt-3.5-turbo", openai_api_base=base_path))
# Configure prompt parameters and initialise helper
max_input_size = 500
num_output = 256
max_chunk_overlap = 20
prompt_helper = PromptHelper(max_input_size, num_output, max_chunk_overlap)
# Load documents from the 'data' directory
service_context = ServiceContext.from_defaults(llm_predictor=llm_predictor, prompt_helper=prompt_helper)
# rebuild storage context
storage_context = StorageContext.from_defaults(persist_dir='./storage')
# load index
index = load_index_from_storage(storage_context, service_context=service_context, )
query_engine = index.as_query_engine()
data = input("Question: ")
response = query_engine.query(data)
print(response)

View File

@@ -0,0 +1,27 @@
import os
# Uncomment to specify your OpenAI API key here (local testing only, not in production!), or add corresponding environment variable (recommended)
# os.environ['OPENAI_API_KEY']= ""
from llama_index import GPTVectorStoreIndex, SimpleDirectoryReader, LLMPredictor, PromptHelper, ServiceContext
from langchain.llms.openai import OpenAI
from llama_index import StorageContext, load_index_from_storage
base_path = os.environ.get('OPENAI_API_BASE', 'http://localhost:8080/v1')
# This example uses text-davinci-003 by default; feel free to change if desired
llm_predictor = LLMPredictor(llm=OpenAI(temperature=0, model_name="gpt-3.5-turbo", openai_api_base=base_path))
# Configure prompt parameters and initialise helper
max_input_size = 400
num_output = 400
max_chunk_overlap = 30
prompt_helper = PromptHelper(max_input_size, num_output, max_chunk_overlap)
# Load documents from the 'data' directory
documents = SimpleDirectoryReader('data').load_data()
service_context = ServiceContext.from_defaults(llm_predictor=llm_predictor, prompt_helper=prompt_helper, chunk_size_limit = 400)
index = GPTVectorStoreIndex.from_documents(documents, service_context=service_context)
index.storage_context.persist(persist_dir="./storage")

View File

@@ -0,0 +1,32 @@
import os
# Uncomment to specify your OpenAI API key here (local testing only, not in production!), or add corresponding environment variable (recommended)
# os.environ['OPENAI_API_KEY']= ""
from llama_index import LLMPredictor, PromptHelper, SimpleDirectoryReader, ServiceContext
from langchain.llms.openai import OpenAI
from llama_index import StorageContext, load_index_from_storage
base_path = os.environ.get('OPENAI_API_BASE', 'http://localhost:8080/v1')
# This example uses text-davinci-003 by default; feel free to change if desired
llm_predictor = LLMPredictor(llm=OpenAI(temperature=0, model_name="gpt-3.5-turbo", openai_api_base=base_path))
# Configure prompt parameters and initialise helper
max_input_size = 512
num_output = 256
max_chunk_overlap = 20
prompt_helper = PromptHelper(max_input_size, num_output, max_chunk_overlap)
# Load documents from the 'data' directory
service_context = ServiceContext.from_defaults(llm_predictor=llm_predictor, prompt_helper=prompt_helper)
# rebuild storage context
storage_context = StorageContext.from_defaults(persist_dir='./storage')
# load index
index = load_index_from_storage(storage_context, service_context=service_context, )
documents = SimpleDirectoryReader('data').load_data()
index.refresh(documents)
index.storage_context.persist(persist_dir="./storage")

11
examples/rwkv/scripts/build.sh Executable file
View File

@@ -0,0 +1,11 @@
#!/bin/bash
set -ex
URL=$1
OUT=$2
FILENAME=$(basename $URL)
wget -nc $URL -O /build/$FILENAME
python3 /build/rwkv.cpp/rwkv/convert_pytorch_to_ggml.py /build/$FILENAME /build/float-model float16
python3 /build/rwkv.cpp/rwkv/quantize.py /build/float-model $OUT Q4_2

39
go.mod
View File

@@ -3,44 +3,54 @@ module github.com/go-skynet/LocalAI
go 1.19
require (
github.com/donomii/go-rwkv.cpp v0.0.0-20230502223004-0a3db3d72e7d
github.com/go-skynet/go-gpt2.cpp v0.0.0-20230422085954-245a5bfe6708
github.com/donomii/go-rwkv.cpp v0.0.0-20230510174014-07166da10cb2
github.com/ggerganov/whisper.cpp/bindings/go v0.0.0-20230509153812-1d17cd5bb37a
github.com/go-audio/wav v1.1.0
github.com/go-skynet/bloomz.cpp v0.0.0-20230510195113-ad7e89a0885f
github.com/go-skynet/go-bert.cpp v0.0.0-20230510124618-ec771ec71557
github.com/go-skynet/go-gpt2.cpp v0.0.0-20230509180201-d49823284cc6
github.com/go-skynet/go-gpt4all-j.cpp v0.0.0-20230422090028-1f7bff57f66c
github.com/go-skynet/go-llama.cpp v0.0.0-20230502121737-8ceb6167e405
github.com/gofiber/fiber/v2 v2.44.0
github.com/go-skynet/go-llama.cpp v0.0.0-20230510072905-70593fccbe4b
github.com/gofiber/fiber/v2 v2.45.0
github.com/hashicorp/go-multierror v1.1.1
github.com/jaypipes/ghw v0.10.0
github.com/onsi/ginkgo/v2 v2.9.4
github.com/onsi/gomega v1.27.6
github.com/otiai10/copy v1.11.0
github.com/otiai10/openaigo v1.1.0
github.com/rs/zerolog v1.29.1
github.com/sashabaranov/go-openai v1.9.3
github.com/sashabaranov/go-openai v1.9.4
github.com/swaggo/swag v1.16.1
github.com/urfave/cli/v2 v2.25.3
github.com/valyala/fasthttp v1.47.0
gopkg.in/yaml.v3 v3.0.1
)
require (
github.com/StackExchange/wmi v1.2.1 // indirect
github.com/KyleBanks/depth v1.2.1 // indirect
github.com/PuerkitoBio/purell v1.1.1 // indirect
github.com/PuerkitoBio/urlesc v0.0.0-20170810143723-de5bf2ad4578 // indirect
github.com/andybalholm/brotli v1.0.5 // indirect
github.com/cpuguy83/go-md2man/v2 v2.0.2 // indirect
github.com/ghodss/yaml v1.0.0 // indirect
github.com/go-audio/audio v1.0.0 // indirect
github.com/go-audio/riff v1.0.0 // indirect
github.com/go-logr/logr v1.2.4 // indirect
github.com/go-ole/go-ole v1.2.6 // indirect
github.com/go-openapi/jsonpointer v0.19.5 // indirect
github.com/go-openapi/jsonreference v0.19.6 // indirect
github.com/go-openapi/spec v0.20.4 // indirect
github.com/go-openapi/swag v0.19.15 // indirect
github.com/go-task/slim-sprig v0.0.0-20230315185526-52ccab3ef572 // indirect
github.com/google/go-cmp v0.5.9 // indirect
github.com/google/pprof v0.0.0-20210407192527-94a9f03dee38 // indirect
github.com/google/uuid v1.3.0 // indirect
github.com/hashicorp/errwrap v1.0.0 // indirect
github.com/jaypipes/pcidb v1.0.0 // indirect
github.com/josharian/intern v1.0.0 // indirect
github.com/klauspost/compress v1.16.3 // indirect
github.com/kr/text v0.2.0 // indirect
github.com/mailru/easyjson v0.7.6 // indirect
github.com/mattn/go-colorable v0.1.13 // indirect
github.com/mattn/go-isatty v0.0.18 // indirect
github.com/mattn/go-runewidth v0.0.14 // indirect
github.com/mitchellh/go-homedir v1.1.0 // indirect
github.com/nomic/gpt4all/gpt4all-bindings/golang v0.0.0-00010101000000-000000000000 // indirect
github.com/philhofer/fwd v1.1.2 // indirect
github.com/pkg/errors v0.9.1 // indirect
github.com/rivo/uniseg v0.2.0 // indirect
github.com/russross/blackfriday/v2 v2.1.0 // indirect
github.com/savsgio/dictpool v0.0.0-20221023140959-7bf2e61cea94 // indirect
@@ -50,9 +60,8 @@ require (
github.com/valyala/tcplisten v1.0.0 // indirect
github.com/xrash/smetrics v0.0.0-20201216005158-039620a65673 // indirect
golang.org/x/net v0.9.0 // indirect
golang.org/x/sys v0.7.0 // indirect
golang.org/x/sys v0.8.0 // indirect
golang.org/x/text v0.9.0 // indirect
golang.org/x/tools v0.8.0 // indirect
gopkg.in/yaml.v2 v2.4.0 // indirect
howett.net/plist v1.0.0 // indirect
)

124
go.sum
View File

@@ -1,5 +1,9 @@
github.com/StackExchange/wmi v1.2.1 h1:VIkavFPXSjcnS+O8yTq7NI32k0R5Aj+v39y29VYDOSA=
github.com/StackExchange/wmi v1.2.1/go.mod h1:rcmrprowKIVzvc+NUiLncP2uuArMWLCbu9SBzvHz7e8=
github.com/KyleBanks/depth v1.2.1 h1:5h8fQADFrWtarTdtDudMmGsC7GPbOAu6RVB3ffsVFHc=
github.com/KyleBanks/depth v1.2.1/go.mod h1:jzSb9d0L43HxTQfT+oSA1EEp2q+ne2uh6XgeJcm8brE=
github.com/PuerkitoBio/purell v1.1.1 h1:WEQqlqaGbrPkxLJWfBwQmfEAE1Z7ONdDLqrN38tNFfI=
github.com/PuerkitoBio/purell v1.1.1/go.mod h1:c11w/QuzBsJSee3cPx9rAFu61PvFxuPbtSwDGJws/X0=
github.com/PuerkitoBio/urlesc v0.0.0-20170810143723-de5bf2ad4578 h1:d+Bc7a5rLufV/sSk/8dngufqelfh6jnri85riMAaF/M=
github.com/PuerkitoBio/urlesc v0.0.0-20170810143723-de5bf2ad4578/go.mod h1:uGdkoq3SwY9Y+13GIhn11/XLaGBb4BfwItxLd5jeuXE=
github.com/andybalholm/brotli v1.0.5 h1:8uQZIdzKmjc/iuPu7O2ioW48L81FgatrcpfFmiq/cCs=
github.com/andybalholm/brotli v1.0.5/go.mod h1:fO7iG3H7G2nSZ7m0zPUDn85XEX2GTukHGRSepvi9Eig=
github.com/chzyer/logex v1.1.10/go.mod h1:+Ywpsq7O8HXn0nuIou7OrIPyXbp3wmkHB+jjWRnGsAI=
@@ -12,30 +16,49 @@ github.com/creack/pty v1.1.9/go.mod h1:oKZEueFk5CKHvIhNR5MUki03XCEU+Q6VDXinZuGJ3
github.com/davecgh/go-spew v1.1.0/go.mod h1:J7Y8YcW2NihsgmVo/mv3lAwl/skON4iLHjSsI+c5H38=
github.com/davecgh/go-spew v1.1.1 h1:vj9j/u1bqnvCEfJOwUhtlOARqs3+rkHYY13jYWTU97c=
github.com/davecgh/go-spew v1.1.1/go.mod h1:J7Y8YcW2NihsgmVo/mv3lAwl/skON4iLHjSsI+c5H38=
github.com/donomii/go-rwkv.cpp v0.0.0-20230502223004-0a3db3d72e7d h1:lSHwlYf1H4WAWYgf7rjEVTGen1qmigUq2Egpu8mnQiY=
github.com/donomii/go-rwkv.cpp v0.0.0-20230502223004-0a3db3d72e7d/go.mod h1:H6QBF7/Tz6DAEBDXQged4H1BvsmqY/K5FG9wQRGa01g=
github.com/ghodss/yaml v1.0.0 h1:wQHKEahhL6wmXdzwWG11gIVCkOv05bNOh+Rxn0yngAk=
github.com/ghodss/yaml v1.0.0/go.mod h1:4dBDuWmgqj2HViK6kFavaiC9ZROes6MMH2rRYeMEF04=
github.com/go-logr/logr v1.2.3 h1:2DntVwHkVopvECVRSlL5PSo9eG+cAkDCuckLubN+rq0=
github.com/go-logr/logr v1.2.3/go.mod h1:jdQByPbusPIv2/zmleS9BjJVeZ6kBagPoEUsqbVz/1A=
github.com/donomii/go-rwkv.cpp v0.0.0-20230503112711-af62fcc432be h1:3Hic97PY6hcw/SY44RuR7kyONkxd744RFeRrqckzwNQ=
github.com/donomii/go-rwkv.cpp v0.0.0-20230503112711-af62fcc432be/go.mod h1:gWy7FIWioqYmYxkaoFyBnaKApeZVrUkHhv9EV9pz4dM=
github.com/donomii/go-rwkv.cpp v0.0.0-20230510174014-07166da10cb2 h1:YNbUAyIRtaLODitigJU1EM5ubmMu5FmHtYAayJD6Vbg=
github.com/donomii/go-rwkv.cpp v0.0.0-20230510174014-07166da10cb2/go.mod h1:gWy7FIWioqYmYxkaoFyBnaKApeZVrUkHhv9EV9pz4dM=
github.com/ggerganov/whisper.cpp/bindings/go v0.0.0-20230508180809-bf2449dfae35 h1:sMg/SgnMPS/HNUO/2kGm72vl8R9TmNIwgLFr2TNwR3g=
github.com/ggerganov/whisper.cpp/bindings/go v0.0.0-20230508180809-bf2449dfae35/go.mod h1:QIjZ9OktHFG7p+/m3sMvrAJKKdWrr1fZIK0rM6HZlyo=
github.com/ggerganov/whisper.cpp/bindings/go v0.0.0-20230509153812-1d17cd5bb37a h1:MlyiDLNCM/wjbv8U5Elj18NvaAgl61SGiRUpqQz5dfs=
github.com/ggerganov/whisper.cpp/bindings/go v0.0.0-20230509153812-1d17cd5bb37a/go.mod h1:QIjZ9OktHFG7p+/m3sMvrAJKKdWrr1fZIK0rM6HZlyo=
github.com/go-audio/audio v1.0.0 h1:zS9vebldgbQqktK4H0lUqWrG8P0NxCJVqcj7ZpNnwd4=
github.com/go-audio/audio v1.0.0/go.mod h1:6uAu0+H2lHkwdGsAY+j2wHPNPpPoeg5AaEFh9FlA+Zs=
github.com/go-audio/riff v1.0.0 h1:d8iCGbDvox9BfLagY94fBynxSPHO80LmZCaOsmKxokA=
github.com/go-audio/riff v1.0.0/go.mod h1:l3cQwc85y79NQFCRB7TiPoNiaijp6q8Z0Uv38rVG498=
github.com/go-audio/wav v1.1.0 h1:jQgLtbqBzY7G+BM8fXF7AHUk1uHUviWS4X39d5rsL2g=
github.com/go-audio/wav v1.1.0/go.mod h1:mpe9qfwbScEbkd8uybLuIpTgHyrISw/OTuvjUW2iGtE=
github.com/go-logr/logr v1.2.4 h1:g01GSCwiDw2xSZfjJ2/T9M+S6pFdcNtFYsp+Y43HYDQ=
github.com/go-logr/logr v1.2.4/go.mod h1:jdQByPbusPIv2/zmleS9BjJVeZ6kBagPoEUsqbVz/1A=
github.com/go-ole/go-ole v1.2.5/go.mod h1:pprOEPIfldk/42T2oK7lQ4v4JSDwmV0As9GaiUsvbm0=
github.com/go-ole/go-ole v1.2.6 h1:/Fpf6oFPoeFik9ty7siob0G6Ke8QvQEuVcuChpwXzpY=
github.com/go-ole/go-ole v1.2.6/go.mod h1:pprOEPIfldk/42T2oK7lQ4v4JSDwmV0As9GaiUsvbm0=
github.com/go-skynet/go-gpt2.cpp v0.0.0-20230422085954-245a5bfe6708 h1:cfOi4TWvQ6JsAm9Q1A8I8j9YfNy10bmIfwOiyGyU5wQ=
github.com/go-skynet/go-gpt2.cpp v0.0.0-20230422085954-245a5bfe6708/go.mod h1:1Wj/xbkMfwQSOrhNYK178IzqQHstZbRfhx4s8p1M5VM=
github.com/go-openapi/jsonpointer v0.19.3/go.mod h1:Pl9vOtqEWErmShwVjC8pYs9cog34VGT37dQOVbmoatg=
github.com/go-openapi/jsonpointer v0.19.5 h1:gZr+CIYByUqjcgeLXnQu2gHYQC9o73G2XUeOFYEICuY=
github.com/go-openapi/jsonpointer v0.19.5/go.mod h1:Pl9vOtqEWErmShwVjC8pYs9cog34VGT37dQOVbmoatg=
github.com/go-openapi/jsonreference v0.19.6 h1:UBIxjkht+AWIgYzCDSv2GN+E/togfwXUJFRTWhl2Jjs=
github.com/go-openapi/jsonreference v0.19.6/go.mod h1:diGHMEHg2IqXZGKxqyvWdfWU/aim5Dprw5bqpKkTvns=
github.com/go-openapi/spec v0.20.4 h1:O8hJrt0UMnhHcluhIdUgCLRWyM2x7QkBXRvOs7m+O1M=
github.com/go-openapi/spec v0.20.4/go.mod h1:faYFR1CvsJZ0mNsmsphTMSoRrNV3TEDoAM7FOEWeq8I=
github.com/go-openapi/swag v0.19.5/go.mod h1:POnQmlKehdgb5mhVOsnJFsivZCEZ/vjK9gh66Z9tfKk=
github.com/go-openapi/swag v0.19.15 h1:D2NRCBzS9/pEY3gP9Nl8aDqGUcPFrwG2p+CNFrLyrCM=
github.com/go-openapi/swag v0.19.15/go.mod h1:QYRuS/SOXUCsnplDa677K7+DxSOj6IPNl/eQntq43wQ=
github.com/go-skynet/bloomz.cpp v0.0.0-20230510195113-ad7e89a0885f h1:GW8RQa1RVeDF1dOuAP/y6xWVC+BRtf9tJOuEza6Asbg=
github.com/go-skynet/bloomz.cpp v0.0.0-20230510195113-ad7e89a0885f/go.mod h1:wc0fJ9V04yiYTfgKvE5RUUSRQ5Kzi0Bo4I+U3nNOUuA=
github.com/go-skynet/go-bert.cpp v0.0.0-20230510101404-7bb183b147ea h1:8Isk9D+Auth5OuXVAQPC3MO+5zF/2S7mvs2JZLw6a+8=
github.com/go-skynet/go-bert.cpp v0.0.0-20230510101404-7bb183b147ea/go.mod h1:NHwIVvsg7Jh6p0M4uBLVmSMEaPUia6O6yjXUpLWVJmQ=
github.com/go-skynet/go-bert.cpp v0.0.0-20230510124618-ec771ec71557 h1:LD66fKtvP2lmyuuKL8pBat/pVTKUbLs3L5fM/5lyi4w=
github.com/go-skynet/go-bert.cpp v0.0.0-20230510124618-ec771ec71557/go.mod h1:NHwIVvsg7Jh6p0M4uBLVmSMEaPUia6O6yjXUpLWVJmQ=
github.com/go-skynet/go-gpt2.cpp v0.0.0-20230509180201-d49823284cc6 h1:XshpypO6ekU09CI19vuzke2a1Es1lV5ZaxA7CUehu0E=
github.com/go-skynet/go-gpt2.cpp v0.0.0-20230509180201-d49823284cc6/go.mod h1:1Wj/xbkMfwQSOrhNYK178IzqQHstZbRfhx4s8p1M5VM=
github.com/go-skynet/go-gpt4all-j.cpp v0.0.0-20230422090028-1f7bff57f66c h1:48I7jpLNGiQeBmF0SFVVbREh8vlG0zN13v9LH5ctXis=
github.com/go-skynet/go-gpt4all-j.cpp v0.0.0-20230422090028-1f7bff57f66c/go.mod h1:5VZ9XbcINI0XcHhkcX8GPK8TplFGAzu1Hrg4tNiMCtI=
github.com/go-skynet/go-llama.cpp v0.0.0-20230430075552-377fd245eae2 h1:CYQRCbOfYtC77OxweAyrdxSVwoLIM/EdZ6Ij+xBzta8=
github.com/go-skynet/go-llama.cpp v0.0.0-20230430075552-377fd245eae2/go.mod h1:35AKIEMY+YTKCBJIa/8GZcNGJ2J+nQk1hQiWo/OnEWw=
github.com/go-skynet/go-llama.cpp v0.0.0-20230502121737-8ceb6167e405 h1:pbIxJ/eiL1Irdprxk/mquaxjR1XDGCE+7CT9BGJNRaY=
github.com/go-skynet/go-llama.cpp v0.0.0-20230502121737-8ceb6167e405/go.mod h1:35AKIEMY+YTKCBJIa/8GZcNGJ2J+nQk1hQiWo/OnEWw=
github.com/go-skynet/go-llama.cpp v0.0.0-20230510072905-70593fccbe4b h1:qqxrjY8fYDXQahmCMTCACahm1tbiqHLPUHALkFLyBfo=
github.com/go-skynet/go-llama.cpp v0.0.0-20230510072905-70593fccbe4b/go.mod h1:DLfsPD7tYYnpksERH83HSf7qVNW3FIwmz7/zfYO0/6I=
github.com/go-task/slim-sprig v0.0.0-20230315185526-52ccab3ef572 h1:tfuBGBXKqDEevZMzYi5KSi8KkcZtzBcTgAUUtapy0OI=
github.com/go-task/slim-sprig v0.0.0-20230315185526-52ccab3ef572/go.mod h1:9Pwr4B2jHnOSGXyyzV8ROjYa2ojvAY6HCGYYfMoC3Ls=
github.com/godbus/dbus/v5 v5.0.4/go.mod h1:xhWf0FNVPg57R7Z0UbKHbJfkEywrmjJnf7w5xrFpKfA=
github.com/gofiber/fiber/v2 v2.44.0 h1:Z90bEvPcJM5GFJnu1py0E1ojoerkyew3iiNJ78MQCM8=
github.com/gofiber/fiber/v2 v2.44.0/go.mod h1:VTMtb/au8g01iqvHyaCzftuM/xmZgKOZCtFzz6CdV9w=
github.com/gofiber/fiber/v2 v2.45.0 h1:p4RpkJT9GAW6parBSbcNFH2ApnAuW3OzaQzbOCoDu+s=
github.com/gofiber/fiber/v2 v2.45.0/go.mod h1:DNl0/c37WLe0g92U6lx1VMQuxGUQY5V7EIaVoEsUffc=
github.com/golang/protobuf v1.5.3 h1:KhyjKVUg7Usr/dYsdSqoFveMYd5ko72D+zANwlG1mmg=
github.com/google/go-cmp v0.5.9 h1:O2Tfq5qg4qc4AmwVlvv0oLiVAGB7enBSJ2x2DqQFi38=
github.com/google/go-cmp v0.5.9/go.mod h1:17dUlkBOakJ0+DkrSSNjCkIjxS6bF9zb3elmeNGIjoY=
@@ -48,16 +71,19 @@ github.com/hashicorp/errwrap v1.0.0/go.mod h1:YH+1FKiLXxHSkmPseP+kNlulaMuP3n2brv
github.com/hashicorp/go-multierror v1.1.1 h1:H5DkEtf6CXdFp0N0Em5UCwQpXMWke8IA0+lD48awMYo=
github.com/hashicorp/go-multierror v1.1.1/go.mod h1:iw975J/qwKPdAO1clOe2L8331t/9/fmwbPZ6JB6eMoM=
github.com/ianlancetaylor/demangle v0.0.0-20200824232613-28f6c0f3b639/go.mod h1:aSSvb/t6k1mPoxDqO4vJh6VOCGPwU4O0C2/Eqndh1Sc=
github.com/jaypipes/ghw v0.10.0 h1:UHu9UX08Py315iPojADFPOkmjTsNzHj4g4adsNKKteY=
github.com/jaypipes/ghw v0.10.0/go.mod h1:jeJGbkRB2lL3/gxYzNYzEDETV1ZJ56OKr+CSeSEym+g=
github.com/jaypipes/pcidb v1.0.0 h1:vtZIfkiCUE42oYbJS0TAq9XSfSmcsgo9IdxSm9qzYU8=
github.com/jaypipes/pcidb v1.0.0/go.mod h1:TnYUvqhPBzCKnH34KrIX22kAeEbDCSRJ9cqLRCuNDfk=
github.com/jessevdk/go-flags v1.4.0/go.mod h1:4FA24M0QyGHXBuZZK/XkWh8h0e1EYbRYJSGM75WSRxI=
github.com/josharian/intern v1.0.0 h1:vlS4z54oSdjm0bgjRigI+G1HpF+tI+9rE5LLzOg8HmY=
github.com/josharian/intern v1.0.0/go.mod h1:5DoeVV0s6jJacbCEi61lwdGj/aVlrQvzHFFd8Hwg//Y=
github.com/klauspost/compress v1.16.3 h1:XuJt9zzcnaz6a16/OU53ZjWp/v7/42WcR5t2a0PcNQY=
github.com/klauspost/compress v1.16.3/go.mod h1:ntbaceVETuRiXiv4DpjP66DpAtAGkEQskQzEyD//IeE=
github.com/kr/pretty v0.1.0 h1:L/CwN0zerZDmRFUapSPitk6f+Q3+0za1rQkzVuMiMFI=
github.com/kr/pretty v0.1.0/go.mod h1:dAy3ld7l9f0ibDNOQOHHMYYIIbhfbHSm3C4ZsoJORNo=
github.com/kr/pty v1.1.1/go.mod h1:pFQYn66WHrOpPYNljwOMqo10TkYh1fy3cYio2l3bCsQ=
github.com/kr/text v0.1.0/go.mod h1:4Jbv+DJW3UT/LiOwJeYQe1efqtUx/iVham/4vfdArNI=
github.com/kr/text v0.2.0 h1:5Nx0Ya0ZqY2ygV366QzturHI13Jq95ApcVaJBhpS+AY=
github.com/kr/text v0.2.0/go.mod h1:eLer722TekiGuMkidMxC/pM04lWEeraHUUmBw8l2grE=
github.com/mailru/easyjson v0.0.0-20190614124828-94de47d64c63/go.mod h1:C1wdFJiN94OJF2b5HbByQZoLdCWB1Yqtg26g4irojpc=
github.com/mailru/easyjson v0.0.0-20190626092158-b2ccc519800e/go.mod h1:C1wdFJiN94OJF2b5HbByQZoLdCWB1Yqtg26g4irojpc=
github.com/mailru/easyjson v0.7.6 h1:8yTIVnZgCoiM1TgqoeTl+LfU5Jg6/xL3QhGQnimLYnA=
github.com/mailru/easyjson v0.7.6/go.mod h1:xzfreul335JAWq5oZzymOObrkdz5UnU4kGfJJLY9Nlc=
github.com/mattn/go-colorable v0.1.12/go.mod h1:u5H1YNBxpqRaxsYJYSkiCWKzEfiAb1Gb520KVy5xxl4=
github.com/mattn/go-colorable v0.1.13 h1:fFA4WZxdEF4tXPZVKMLwD8oUnCTTo08duU7wxecdEvA=
github.com/mattn/go-colorable v0.1.13/go.mod h1:7S9/ev0klgBDR4GtXTXX8a3vIGJpMovkB8vQcUbaXHg=
@@ -67,23 +93,20 @@ github.com/mattn/go-isatty v0.0.18 h1:DOKFKCQ7FNG2L1rbrmstDN4QVRdS89Nkh85u68Uwp9
github.com/mattn/go-isatty v0.0.18/go.mod h1:W+V8PltTTMOvKvAeJH7IuucS94S2C6jfK/D7dTCTo3Y=
github.com/mattn/go-runewidth v0.0.14 h1:+xnbZSEeDbOIg5/mE6JF0w6n9duR1l3/WmbinWVwUuU=
github.com/mattn/go-runewidth v0.0.14/go.mod h1:Jdepj2loyihRzMpdS35Xk/zdY8IAYHsh153qUoGf23w=
github.com/mitchellh/go-homedir v1.1.0 h1:lukF9ziXFxDFPkA1vsr5zpc1XuPDn/wFntq5mG+4E0Y=
github.com/mitchellh/go-homedir v1.1.0/go.mod h1:SfyaCUpYCn1Vlf4IUYiD9fPX4A5wJrkLzIz1N1q0pr0=
github.com/onsi/ginkgo/v2 v2.9.2 h1:BA2GMJOtfGAfagzYtrAlufIP0lq6QERkFmHLMLPwFSU=
github.com/onsi/ginkgo/v2 v2.9.2/go.mod h1:WHcJJG2dIlcCqVfBAwUCrJxSPFb6v4azBwgxeMeDuts=
github.com/onsi/ginkgo/v2 v2.9.3 h1:5X2vl/isiKqkrOYjiaGgp3JQOcLV59g5o5SuTMqCcxU=
github.com/onsi/ginkgo/v2 v2.9.3/go.mod h1:gCQYp2Q+kSoIj7ykSVb9nskRSsR6PUj4AiLywzIhbKM=
github.com/niemeyer/pretty v0.0.0-20200227124842-a10e7caefd8e h1:fD57ERR4JtEqsWbfPhv4DMiApHyliiK5xCTNVSPiaAs=
github.com/niemeyer/pretty v0.0.0-20200227124842-a10e7caefd8e/go.mod h1:zD1mROLANZcx1PVRCS0qkT7pwLkGfwJo4zjcN/Tysno=
github.com/onsi/ginkgo/v2 v2.9.4 h1:xR7vG4IXt5RWx6FfIjyAtsoMAtnc3C/rFXBBd2AjZwE=
github.com/onsi/ginkgo/v2 v2.9.4/go.mod h1:gCQYp2Q+kSoIj7ykSVb9nskRSsR6PUj4AiLywzIhbKM=
github.com/onsi/gomega v1.27.6 h1:ENqfyGeS5AX/rlXDd/ETokDz93u0YufY1Pgxuy/PvWE=
github.com/onsi/gomega v1.27.6/go.mod h1:PIQNjfQwkP3aQAH7lf7j87O/5FiNr+ZR8+ipb+qQlhg=
github.com/otiai10/mint v1.4.1 h1:HOVBfKP1oXIc0wWo9hZ8JLdZtyCPWqjvmFDuVZ0yv2Y=
github.com/otiai10/copy v1.11.0 h1:OKBD80J/mLBrwnzXqGtFCzprFSGioo30JcmR4APsNwc=
github.com/otiai10/copy v1.11.0/go.mod h1:rSaLseMUsZFFbsFGc7wCJnnkTAvdc5L6VWxPE4308Ww=
github.com/otiai10/mint v1.5.1 h1:XaPLeE+9vGbuyEHem1JNk3bYc7KKqyI/na0/mLd/Kks=
github.com/otiai10/openaigo v1.1.0 h1:zRvGBqZUW5PCMgdkJNsPVTBd8tOLCMTipXE5wD2pdTg=
github.com/otiai10/openaigo v1.1.0/go.mod h1:792bx6AWTS61weDi2EzKpHHnTF4eDMAlJ5GvAk/mgPg=
github.com/philhofer/fwd v1.1.1/go.mod h1:gk3iGcWd9+svBvR0sR+KPcfE+RNWozjowpeBVG3ZVNU=
github.com/philhofer/fwd v1.1.2 h1:bnDivRJ1EWPjUIRXV5KfORO897HTbpFAQddBdE8t7Gw=
github.com/philhofer/fwd v1.1.2/go.mod h1:qkPdfjR2SIEbspLqpe1tO4n5yICnr2DY7mqEx2tUTP0=
github.com/pkg/errors v0.9.1 h1:FEBLx1zS214owpjy7qsBeixbURkuhQAwrK5UwLGTwt4=
github.com/pkg/errors v0.9.1/go.mod h1:bwawxfHBFNV+L2hUp1rHADufV3IMtnDRdf1r5NINEl0=
github.com/pmezard/go-difflib v1.0.0 h1:4DBwDE0NGyQoBHbLQYPwSUPoCMWR5BEzIk/f1lZbAQM=
github.com/pmezard/go-difflib v1.0.0/go.mod h1:iKH77koFhYxTK1pcRnkKkqfTogsbg7gZNVY4sRDYZ/4=
@@ -94,20 +117,21 @@ github.com/rs/zerolog v1.29.1 h1:cO+d60CHkknCbvzEWxP0S9K6KqyTjrCNUy1LdQLCGPc=
github.com/rs/zerolog v1.29.1/go.mod h1:Le6ESbR7hc+DP6Lt1THiV8CQSdkkNrd3R0XbEgp3ZBU=
github.com/russross/blackfriday/v2 v2.1.0 h1:JIOH55/0cWyOuilr9/qlrm0BSXldqnqwMsf35Ld67mk=
github.com/russross/blackfriday/v2 v2.1.0/go.mod h1:+Rmxgy9KzJVeS9/2gXHxylqXiyQDYRxCVz55jmeOWTM=
github.com/sashabaranov/go-openai v1.9.1 h1:3N52HkJKo9Zlo/oe1AVv5ZkCOny0ra58/ACvAxkN3MM=
github.com/sashabaranov/go-openai v1.9.1/go.mod h1:lj5b/K+zjTSFxVLijLSTDZuP7adOgerWeFyZLUhAKRg=
github.com/sashabaranov/go-openai v1.9.2 h1:7//Glm9EiMBjelgmBb00yYzKYqm1jckHWWTDLahfeuQ=
github.com/sashabaranov/go-openai v1.9.2/go.mod h1:lj5b/K+zjTSFxVLijLSTDZuP7adOgerWeFyZLUhAKRg=
github.com/sashabaranov/go-openai v1.9.3 h1:uNak3Rn5pPsKRs9bdT7RqRZEyej/zdZOEI2/8wvrFtM=
github.com/sashabaranov/go-openai v1.9.3/go.mod h1:lj5b/K+zjTSFxVLijLSTDZuP7adOgerWeFyZLUhAKRg=
github.com/sashabaranov/go-openai v1.9.4 h1:KanoCEoowAI45jVXlenMCckutSRr39qOmSi9MyPBfZM=
github.com/sashabaranov/go-openai v1.9.4/go.mod h1:lj5b/K+zjTSFxVLijLSTDZuP7adOgerWeFyZLUhAKRg=
github.com/savsgio/dictpool v0.0.0-20221023140959-7bf2e61cea94 h1:rmMl4fXJhKMNWl+K+r/fq4FbbKI+Ia2m9hYBLm2h4G4=
github.com/savsgio/dictpool v0.0.0-20221023140959-7bf2e61cea94/go.mod h1:90zrgN3D/WJsDd1iXHT96alCoN2KJo6/4x1DZC3wZs8=
github.com/savsgio/gotils v0.0.0-20220530130905-52f3993e8d6d/go.mod h1:Gy+0tqhJvgGlqnTF8CVGP0AaGRjwBtXs/a5PA0Y3+A4=
github.com/savsgio/gotils v0.0.0-20230208104028-c358bd845dee h1:8Iv5m6xEo1NR1AvpV+7XmhI4r39LGNzwUL4YpMuL5vk=
github.com/savsgio/gotils v0.0.0-20230208104028-c358bd845dee/go.mod h1:qwtSXrKuJh/zsFQ12yEE89xfCrGKK63Rr7ctU/uCo4g=
github.com/stretchr/objx v0.1.0/go.mod h1:HFkY916IF+rwdDfMAkV7OtwuqBVzrE8GR6GFx+wExME=
github.com/stretchr/testify v1.6.1 h1:hDPOHmpOpP40lSULcqw7IrRb/u7w6RpDC9399XyoNd0=
github.com/stretchr/testify v1.3.0/go.mod h1:M5WIy9Dh21IEIfnGCwXGc5bZfKNJtfHm1UVUgZn+9EI=
github.com/stretchr/testify v1.6.1/go.mod h1:6Fq8oRcR53rry900zMqJjRRixrwX3KX962/h/Wwjteg=
github.com/stretchr/testify v1.8.1 h1:w7B6lhMri9wdJUVmEZPGGhZzrYTPvgJArz7wNPgYKsk=
github.com/swaggo/swag v1.16.1 h1:fTNRhKstPKxcnoKsytm4sahr8FaYzUcT7i1/3nd/fBg=
github.com/swaggo/swag v1.16.1/go.mod h1:9/LMvHycG3NFHfR6LwvikHv5iFvmPADQ359cKikGxto=
github.com/tinylib/msgp v1.1.6/go.mod h1:75BAfg2hauQhs3qedfdDZmWAPcFMAvJE5b9rGOMufyw=
github.com/tinylib/msgp v1.1.8 h1:FCXC1xanKO4I8plpHGH2P7koL/RzZs12l/+r7vakfm0=
github.com/tinylib/msgp v1.1.8/go.mod h1:qkpG+2ldGg4xRFmx+jfTvZPxfGFhi64BcnL9vkCm/Tw=
@@ -130,14 +154,14 @@ golang.org/x/crypto v0.0.0-20210921155107-089bfa567519/go.mod h1:GvvjBRRGRdwPK5y
golang.org/x/mod v0.3.0/go.mod h1:s0Qsj1ACt9ePp/hMypM3fl4fZqREWJwdYDEqhRiZZUA=
golang.org/x/mod v0.6.0-dev.0.20220419223038-86c51ed26bb4/go.mod h1:jJ57K6gSWd91VN4djpZkiMVwK6gcyfeH4XE8wZrZaV4=
golang.org/x/mod v0.7.0/go.mod h1:iBbtSCu2XBx23ZKBPSOrRkjjQPZFPuis4dIYUhu/chs=
golang.org/x/mod v0.10.0 h1:lFO9qtOdlre5W1jxS3r/4szv2/6iXxScdzjoBMXNhYk=
golang.org/x/net v0.0.0-20190404232315-eb5bcb51f2a3/go.mod h1:t9HGtf8HONx5eT2rtn7q6eTqICYqUVnKs3thJo3Qplg=
golang.org/x/net v0.0.0-20190620200207-3b0461eec859/go.mod h1:z5CRVTTTmAJ677TzLLGU+0bjPO0LkuOLi4/5GtJWs/s=
golang.org/x/net v0.0.0-20201021035429-f5854403a974/go.mod h1:sp8m0HH+o8qH0wwXwYZr8TS3Oi6o0r6Gce1SSxlDquU=
golang.org/x/net v0.0.0-20210226172049-e18ecbb05110/go.mod h1:m0MpNAwzfU5UDzcl9v0D8zg8gWTRqZa9RBIspLL5mdg=
golang.org/x/net v0.0.0-20210421230115-4e50805a0758/go.mod h1:72T/g9IO56b78aLF+1Kcs5dz7/ng1VjMUvfKvpfy+jM=
golang.org/x/net v0.0.0-20220722155237-a158d28d115b/go.mod h1:XRhObCWvk6IyKnWLug+ECip1KBveYUHfp+8e9klMJ9c=
golang.org/x/net v0.3.0/go.mod h1:MBQ8lrhLObU/6UmLb4fmbmk5OcyYmqtbGd/9yIeKjEE=
golang.org/x/net v0.8.0 h1:Zrh2ngAOFYneWTAIAPethzeaQLuHwhuBkuV6ZiRnUaQ=
golang.org/x/net v0.8.0/go.mod h1:QVkue5JL9kW//ek3r6jTKnTFis1tRmNAW2P1shuFdJc=
golang.org/x/net v0.9.0 h1:aWJ/m6xSmxWBx+V0XRHTlrYrPG56jKsLdTFmsSsCzOM=
golang.org/x/net v0.9.0/go.mod h1:d48xBJpPfHeWQsugry2m+kC02ZBRGRgulfHnEXEuWns=
golang.org/x/sync v0.0.0-20190423024810-112230192c58/go.mod h1:RxMgew5VJxzue5/jJTE5uejpjVlOe/izrB70Jof72aM=
@@ -146,10 +170,10 @@ golang.org/x/sync v0.0.0-20220722155255-886fb9371eb4/go.mod h1:RxMgew5VJxzue5/jJ
golang.org/x/sync v0.1.0/go.mod h1:RxMgew5VJxzue5/jJTE5uejpjVlOe/izrB70Jof72aM=
golang.org/x/sys v0.0.0-20190215142949-d0b11bdaac8a/go.mod h1:STP8DvDyc/dI5b8T5hshtkjS+E42TnysNCUPdjciGhY=
golang.org/x/sys v0.0.0-20190412213103-97732733099d/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs=
golang.org/x/sys v0.0.0-20190916202348-b4ddaad3f8a3/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs=
golang.org/x/sys v0.0.0-20191204072324-ce4227a45e2e/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs=
golang.org/x/sys v0.0.0-20200930185726-fdedc70b468f/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs=
golang.org/x/sys v0.0.0-20201119102817-f84b799fce68/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs=
golang.org/x/sys v0.0.0-20210420072515-93ed5bcd2bfe/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs=
golang.org/x/sys v0.0.0-20210615035016-665e8c7367d1/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
golang.org/x/sys v0.0.0-20210630005230-0f9fa26af87c/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
golang.org/x/sys v0.0.0-20210927094055-39ccf1dd6fa6/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
@@ -158,17 +182,16 @@ golang.org/x/sys v0.0.0-20220722155257-8c9f86f7a55f/go.mod h1:oPkhp1MJrh7nUepCBc
golang.org/x/sys v0.0.0-20220811171246-fbc7d0a398ab/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
golang.org/x/sys v0.3.0/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
golang.org/x/sys v0.6.0/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
golang.org/x/sys v0.7.0 h1:3jlCCIQZPdOYu1h8BkNvLz8Kgwtae2cagcG/VamtZRU=
golang.org/x/sys v0.7.0/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
golang.org/x/sys v0.8.0 h1:EBmGv8NaZBZTWvrbjNoL6HVt+IVy3QDQpJs7VRIw3tU=
golang.org/x/sys v0.8.0/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
golang.org/x/term v0.0.0-20201126162022-7de9c90e9dd1/go.mod h1:bj7SfCRtBDWHUb9snDiAeCFNEtKQo2Wmx5Cou7ajbmo=
golang.org/x/term v0.0.0-20210927222741-03fcf44c2211/go.mod h1:jbD1KX2456YbFQfuXm/mYQcufACuNUgVhRMnK/tPxf8=
golang.org/x/term v0.3.0/go.mod h1:q750SLmJuPmVoN1blW3UFBPREJfb1KmY3vwxfr+nFDA=
golang.org/x/text v0.3.0/go.mod h1:NqM8EUOU14njkJ3fqMW+pc6Ldnwhi/IjpwHt7yyuwOQ=
golang.org/x/text v0.3.3/go.mod h1:5Zoc/QRtKVWzQhOtBMvqHzDpF6irO9z98xDceosuGiQ=
golang.org/x/text v0.3.6/go.mod h1:5Zoc/QRtKVWzQhOtBMvqHzDpF6irO9z98xDceosuGiQ=
golang.org/x/text v0.3.7/go.mod h1:u+2+/6zg+i71rQMx5EYifcz6MCKuco9NR6JIITiCfzQ=
golang.org/x/text v0.5.0/go.mod h1:mrYo+phRRbMaCq/xk9113O4dZlRixOauAjOtrjsXDZ8=
golang.org/x/text v0.8.0 h1:57P1ETyNKtuIjB4SRd15iJxuhj8Gc416Y78H3qgMh68=
golang.org/x/text v0.8.0/go.mod h1:e1OnstbJyHTd6l/uOt8jFFHp6TRDWZR/bV3emEE/zU8=
golang.org/x/text v0.9.0 h1:2sjJmO8cDvYveuX97RDLsxlyUxLl+GHoLxBiRdHllBE=
golang.org/x/text v0.9.0/go.mod h1:e1OnstbJyHTd6l/uOt8jFFHp6TRDWZR/bV3emEE/zU8=
golang.org/x/tools v0.0.0-20180917221912-90fa682c2a6e/go.mod h1:n7NCudcB/nEzxVGmLbDWY5pfWTLqBcC2KZ6jyYvM4mQ=
@@ -176,8 +199,6 @@ golang.org/x/tools v0.0.0-20191119224855-298f0cb1881e/go.mod h1:b+2E5dAYhXwXZwtn
golang.org/x/tools v0.0.0-20201022035929-9cf592e881e9/go.mod h1:emZCQorbCU4vsT4fOWvOPXz4eW1wZW4PmDk9uLelYpA=
golang.org/x/tools v0.1.12/go.mod h1:hNGJHUnrk76NpqgfD5Aqm5Crs+Hm0VOH/i9J2+nxYbc=
golang.org/x/tools v0.4.0/go.mod h1:UE5sM2OK9E/d67R0ANs2xJizIymRP5gJU295PvKXxjQ=
golang.org/x/tools v0.7.0 h1:W4OVu8VVOaIO0yzWMNdepAulS7YfoS3Zabrm8DOXXU4=
golang.org/x/tools v0.7.0/go.mod h1:4pg6aUX35JBAogB10C9AtvVL+qowtN4pT3CGSQex14s=
golang.org/x/tools v0.8.0 h1:vSDcovVPld282ceKgDimkRSC8kpaH1dgyc9UMzlt84Y=
golang.org/x/tools v0.8.0/go.mod h1:JxBZ99ISMI5ViVkT1tr6tdNmXeTrcpVSD3vZ1RsRdN4=
golang.org/x/xerrors v0.0.0-20190717185122-a985d3407aa7/go.mod h1:I/5z698sn9Ka8TeJc9MKroUUfqBBauWjQqLJ2OPfmY0=
@@ -185,12 +206,13 @@ golang.org/x/xerrors v0.0.0-20191011141410-1b5146add898/go.mod h1:I/5z698sn9Ka8T
golang.org/x/xerrors v0.0.0-20200804184101-5ec99f83aff1/go.mod h1:I/5z698sn9Ka8TeJc9MKroUUfqBBauWjQqLJ2OPfmY0=
google.golang.org/protobuf v1.28.0 h1:w43yiav+6bVFTBQFZX0r7ipe9JQ1QsbMgHwbBziscLw=
gopkg.in/check.v1 v0.0.0-20161208181325-20d25e280405/go.mod h1:Co6ibVJAznAaIkqp8huTwlJQCZ016jof/cbN4VW5Yz0=
gopkg.in/check.v1 v1.0.0-20180628173108-788fd7840127 h1:qIbj1fsPNlZgppZ+VLlY7N33q108Sa+fhmuc+sWQYwY=
gopkg.in/yaml.v1 v1.0.0-20140924161607-9f9df34309c0/go.mod h1:WDnlLJ4WF5VGsH/HVa3CI79GS0ol3YnhVnKP89i0kNg=
gopkg.in/check.v1 v1.0.0-20180628173108-788fd7840127/go.mod h1:Co6ibVJAznAaIkqp8huTwlJQCZ016jof/cbN4VW5Yz0=
gopkg.in/check.v1 v1.0.0-20200227125254-8fa46927fb4f h1:BLraFXnmrev5lT+xlilqcH8XK9/i0At2xKjWk4p6zsU=
gopkg.in/check.v1 v1.0.0-20200227125254-8fa46927fb4f/go.mod h1:Co6ibVJAznAaIkqp8huTwlJQCZ016jof/cbN4VW5Yz0=
gopkg.in/yaml.v2 v2.2.2/go.mod h1:hI93XBmqTisBFMUTm0b8Fm+jr3Dg1NNxqwp+5A1VGuI=
gopkg.in/yaml.v2 v2.4.0 h1:D8xgwECY7CYvx+Y2n4sBz93Jn9JRvxdiyyo8CTfuKaY=
gopkg.in/yaml.v2 v2.4.0/go.mod h1:RDklbk79AGWmwhnvt/jBztapEOGDOx6ZbXqjP6csGnQ=
gopkg.in/yaml.v3 v3.0.0-20200313102051-9f266ea9e77c/go.mod h1:K4uyk7z7BCEPqu6E+C64Yfv1cQ7kz7rIZviUmN+EgEM=
gopkg.in/yaml.v3 v3.0.0-20200615113413-eeeca48fe776/go.mod h1:K4uyk7z7BCEPqu6E+C64Yfv1cQ7kz7rIZviUmN+EgEM=
gopkg.in/yaml.v3 v3.0.1 h1:fxVm/GzAzEWqLHuvctI91KS9hhNmmWOoWu0XTYJS7CA=
gopkg.in/yaml.v3 v3.0.1/go.mod h1:K4uyk7z7BCEPqu6E+C64Yfv1cQ7kz7rIZviUmN+EgEM=
howett.net/plist v1.0.0 h1:7CrbWYbPPO/PyNy38b2EB/+gYbjCe2DXBxgtOOZbSQM=
howett.net/plist v1.0.0/go.mod h1:lqaXoTrLY4hg8tnEzNru53gicrbv7rrk+2xJA/7hw9g=

166
pkg/model/initializers.go Normal file
View File

@@ -0,0 +1,166 @@
package model
import (
"fmt"
"strings"
rwkv "github.com/donomii/go-rwkv.cpp"
whisper "github.com/ggerganov/whisper.cpp/bindings/go/pkg/whisper"
bloomz "github.com/go-skynet/bloomz.cpp"
bert "github.com/go-skynet/go-bert.cpp"
gpt2 "github.com/go-skynet/go-gpt2.cpp"
llama "github.com/go-skynet/go-llama.cpp"
"github.com/hashicorp/go-multierror"
gpt4all "github.com/nomic/gpt4all/gpt4all-bindings/golang"
"github.com/rs/zerolog/log"
)
const tokenizerSuffix = ".tokenizer.json"
const (
LlamaBackend = "llama"
BloomzBackend = "bloomz"
StarcoderBackend = "starcoder"
StableLMBackend = "stablelm"
DollyBackend = "dolly"
RedPajamaBackend = "redpajama"
Gpt2Backend = "gpt2"
Gpt4AllLlamaBackend = "gpt4all-llama"
Gpt4AllMptBackend = "gpt4all-mpt"
Gpt4AllJBackend = "gpt4all-j"
BertEmbeddingsBackend = "bert-embeddings"
RwkvBackend = "rwkv"
WhisperBackend = "whisper"
)
var backends []string = []string{
LlamaBackend,
Gpt4AllLlamaBackend,
Gpt4AllMptBackend,
Gpt4AllJBackend,
Gpt2Backend,
WhisperBackend,
RwkvBackend,
BloomzBackend,
StableLMBackend,
DollyBackend,
RedPajamaBackend,
BertEmbeddingsBackend,
StarcoderBackend,
}
var starCoder = func(modelFile string) (interface{}, error) {
return gpt2.NewStarcoder(modelFile)
}
var redPajama = func(modelFile string) (interface{}, error) {
return gpt2.NewRedPajama(modelFile)
}
var dolly = func(modelFile string) (interface{}, error) {
return gpt2.NewDolly(modelFile)
}
var stableLM = func(modelFile string) (interface{}, error) {
return gpt2.NewStableLM(modelFile)
}
var bertEmbeddings = func(modelFile string) (interface{}, error) {
return bert.New(modelFile)
}
var bloomzLM = func(modelFile string) (interface{}, error) {
return bloomz.New(modelFile)
}
var gpt2LM = func(modelFile string) (interface{}, error) {
return gpt2.New(modelFile)
}
var whisperModel = func(modelFile string) (interface{}, error) {
return whisper.New(modelFile)
}
func llamaLM(opts ...llama.ModelOption) func(string) (interface{}, error) {
return func(s string) (interface{}, error) {
return llama.New(s, opts...)
}
}
func gpt4allLM(opts ...gpt4all.ModelOption) func(string) (interface{}, error) {
return func(s string) (interface{}, error) {
return gpt4all.New(s, opts...)
}
}
func rwkvLM(tokenFile string, threads uint32) func(string) (interface{}, error) {
return func(s string) (interface{}, error) {
model := rwkv.LoadFiles(s, tokenFile, threads)
if model == nil {
return nil, fmt.Errorf("could not load model")
}
return model, nil
}
}
func (ml *ModelLoader) BackendLoader(backendString string, modelFile string, llamaOpts []llama.ModelOption, threads uint32) (model interface{}, err error) {
switch strings.ToLower(backendString) {
case LlamaBackend:
return ml.LoadModel(modelFile, llamaLM(llamaOpts...))
case BloomzBackend:
return ml.LoadModel(modelFile, bloomzLM)
case StableLMBackend:
return ml.LoadModel(modelFile, stableLM)
case DollyBackend:
return ml.LoadModel(modelFile, dolly)
case RedPajamaBackend:
return ml.LoadModel(modelFile, redPajama)
case Gpt2Backend:
return ml.LoadModel(modelFile, gpt2LM)
case StarcoderBackend:
return ml.LoadModel(modelFile, starCoder)
case Gpt4AllLlamaBackend:
return ml.LoadModel(modelFile, gpt4allLM(gpt4all.SetThreads(int(threads)), gpt4all.SetModelType(gpt4all.LLaMAType)))
case Gpt4AllMptBackend:
return ml.LoadModel(modelFile, gpt4allLM(gpt4all.SetThreads(int(threads)), gpt4all.SetModelType(gpt4all.MPTType)))
case Gpt4AllJBackend:
return ml.LoadModel(modelFile, gpt4allLM(gpt4all.SetThreads(int(threads)), gpt4all.SetModelType(gpt4all.GPTJType)))
case BertEmbeddingsBackend:
return ml.LoadModel(modelFile, bertEmbeddings)
case RwkvBackend:
return ml.LoadModel(modelFile, rwkvLM(modelFile+tokenizerSuffix, threads))
case WhisperBackend:
return ml.LoadModel(modelFile, whisperModel)
default:
return nil, fmt.Errorf("backend unsupported: %s", backendString)
}
}
func (ml *ModelLoader) GreedyLoader(modelFile string, llamaOpts []llama.ModelOption, threads uint32) (interface{}, error) {
log.Debug().Msgf("Loading models greedly")
ml.mu.Lock()
m, exists := ml.models[modelFile]
if exists {
ml.mu.Unlock()
return m, nil
}
ml.mu.Unlock()
var err error
for _, b := range backends {
if b == BloomzBackend || b == WhisperBackend || b == RwkvBackend { // do not autoload bloomz/whisper/rwkv
continue
}
log.Debug().Msgf("[%s] Attempting to load", b)
model, modelerr := ml.BackendLoader(b, modelFile, llamaOpts, threads)
if modelerr == nil && model != nil {
log.Debug().Msgf("[%s] Loads OK", b)
return model, nil
} else if modelerr != nil {
err = multierror.Append(err, modelerr)
log.Debug().Msgf("[%s] Fails: %s", b, modelerr.Error())
}
}
return nil, fmt.Errorf("could not load model - all backends returned error: %s", err.Error())
}

View File

@@ -11,34 +11,21 @@ import (
"text/template"
"github.com/rs/zerolog/log"
rwkv "github.com/donomii/go-rwkv.cpp"
gpt2 "github.com/go-skynet/go-gpt2.cpp"
gptj "github.com/go-skynet/go-gpt4all-j.cpp"
llama "github.com/go-skynet/go-llama.cpp"
)
type ModelLoader struct {
ModelPath string
mu sync.Mutex
models map[string]*llama.LLama
gptmodels map[string]*gptj.GPTJ
gpt2models map[string]*gpt2.GPT2
gptstablelmmodels map[string]*gpt2.StableLM
rwkv map[string]*rwkv.RwkvState
promptsTemplates map[string]*template.Template
// TODO: this needs generics
models map[string]interface{}
promptsTemplates map[string]*template.Template
}
func NewModelLoader(modelPath string) *ModelLoader {
return &ModelLoader{
ModelPath: modelPath,
gpt2models: make(map[string]*gpt2.GPT2),
gptmodels: make(map[string]*gptj.GPTJ),
gptstablelmmodels: make(map[string]*gpt2.StableLM),
models: make(map[string]*llama.LLama),
rwkv: make(map[string]*rwkv.RwkvState),
promptsTemplates: make(map[string]*template.Template),
ModelPath: modelPath,
models: make(map[string]interface{}),
promptsTemplates: make(map[string]*template.Template),
}
}
@@ -81,10 +68,9 @@ func (ml *ModelLoader) TemplatePrefix(modelName string, in interface{}) (string,
if exists {
m = t
}
}
if m == nil {
return "", nil
return "", fmt.Errorf("failed loading any template")
}
var buf bytes.Buffer
@@ -124,143 +110,11 @@ func (ml *ModelLoader) loadTemplateIfExists(modelName, modelFile string) error {
return nil
}
func (ml *ModelLoader) LoadStableLMModel(modelName string) (*gpt2.StableLM, error) {
func (ml *ModelLoader) LoadModel(modelName string, loader func(string) (interface{}, error)) (interface{}, error) {
ml.mu.Lock()
defer ml.mu.Unlock()
// Check if we already have a loaded model
if !ml.ExistsInModelPath(modelName) {
return nil, fmt.Errorf("model does not exist")
}
if m, ok := ml.gptstablelmmodels[modelName]; ok {
log.Debug().Msgf("Model already loaded in memory: %s", modelName)
return m, nil
}
// Load the model and keep it in memory for later use
modelFile := filepath.Join(ml.ModelPath, modelName)
log.Debug().Msgf("Loading model in memory from file: %s", modelFile)
model, err := gpt2.NewStableLM(modelFile)
if err != nil {
return nil, err
}
// If there is a prompt template, load it
if err := ml.loadTemplateIfExists(modelName, modelFile); err != nil {
return nil, err
}
ml.gptstablelmmodels[modelName] = model
return model, err
}
func (ml *ModelLoader) LoadGPT2Model(modelName string) (*gpt2.GPT2, error) {
ml.mu.Lock()
defer ml.mu.Unlock()
// Check if we already have a loaded model
if !ml.ExistsInModelPath(modelName) {
return nil, fmt.Errorf("model does not exist")
}
if m, ok := ml.gpt2models[modelName]; ok {
log.Debug().Msgf("Model already loaded in memory: %s", modelName)
return m, nil
}
// Load the model and keep it in memory for later use
modelFile := filepath.Join(ml.ModelPath, modelName)
log.Debug().Msgf("Loading model in memory from file: %s", modelFile)
model, err := gpt2.New(modelFile)
if err != nil {
return nil, err
}
// If there is a prompt template, load it
if err := ml.loadTemplateIfExists(modelName, modelFile); err != nil {
return nil, err
}
ml.gpt2models[modelName] = model
return model, err
}
func (ml *ModelLoader) LoadGPTJModel(modelName string) (*gptj.GPTJ, error) {
ml.mu.Lock()
defer ml.mu.Unlock()
// Check if we already have a loaded model
if !ml.ExistsInModelPath(modelName) {
return nil, fmt.Errorf("model does not exist")
}
if m, ok := ml.gptmodels[modelName]; ok {
log.Debug().Msgf("Model already loaded in memory: %s", modelName)
return m, nil
}
// Load the model and keep it in memory for later use
modelFile := filepath.Join(ml.ModelPath, modelName)
log.Debug().Msgf("Loading model in memory from file: %s", modelFile)
model, err := gptj.New(modelFile)
if err != nil {
return nil, err
}
// If there is a prompt template, load it
if err := ml.loadTemplateIfExists(modelName, modelFile); err != nil {
return nil, err
}
ml.gptmodels[modelName] = model
return model, err
}
func (ml *ModelLoader) LoadRWKV(modelName, tokenFile string, threads uint32) (*rwkv.RwkvState, error) {
ml.mu.Lock()
defer ml.mu.Unlock()
log.Debug().Msgf("Loading model name: %s", modelName)
// Check if we already have a loaded model
if !ml.ExistsInModelPath(modelName) {
return nil, fmt.Errorf("model does not exist")
}
if m, ok := ml.rwkv[modelName]; ok {
log.Debug().Msgf("Model already loaded in memory: %s", modelName)
return m, nil
}
// Load the model and keep it in memory for later use
modelFile := filepath.Join(ml.ModelPath, modelName)
tokenPath := filepath.Join(ml.ModelPath, tokenFile)
log.Debug().Msgf("Loading model in memory from file: %s", modelFile)
model := rwkv.LoadFiles(modelFile, tokenPath, threads)
if model == nil {
return nil, fmt.Errorf("could not load model")
}
ml.rwkv[modelName] = model
return model, nil
}
func (ml *ModelLoader) LoadLLaMAModel(modelName string, opts ...llama.ModelOption) (*llama.LLama, error) {
ml.mu.Lock()
defer ml.mu.Unlock()
log.Debug().Msgf("Loading model name: %s", modelName)
// Check if we already have a loaded model
if !ml.ExistsInModelPath(modelName) {
return nil, fmt.Errorf("model does not exist")
}
if m, ok := ml.models[modelName]; ok {
log.Debug().Msgf("Model already loaded in memory: %s", modelName)
return m, nil
@@ -270,7 +124,7 @@ func (ml *ModelLoader) LoadLLaMAModel(modelName string, opts ...llama.ModelOptio
modelFile := filepath.Join(ml.ModelPath, modelName)
log.Debug().Msgf("Loading model in memory from file: %s", modelFile)
model, err := llama.New(modelFile, opts...)
model, err := loader(modelFile)
if err != nil {
return nil, err
}
@@ -281,5 +135,5 @@ func (ml *ModelLoader) LoadLLaMAModel(modelName string, opts ...llama.ModelOptio
}
ml.models[modelName] = model
return model, err
return model, nil
}

86
pkg/whisper/whisper.go Normal file
View File

@@ -0,0 +1,86 @@
package whisper
import (
"fmt"
"os"
"os/exec"
"path/filepath"
"github.com/ggerganov/whisper.cpp/bindings/go/pkg/whisper"
wav "github.com/go-audio/wav"
)
func sh(c string) (string, error) {
cmd := exec.Command("/bin/sh", "-c", c)
cmd.Env = os.Environ()
o, err := cmd.CombinedOutput()
return string(o), err
}
// AudioToWav converts audio to wav for transcribe. It bashes out to ffmpeg
// TODO: use https://github.com/mccoyst/ogg?
func audioToWav(src, dst string) error {
out, err := sh(fmt.Sprintf("ffmpeg -i %s -format s16le -ar 16000 -ac 1 -acodec pcm_s16le %s", src, dst))
if err != nil {
return fmt.Errorf("error: %w out: %s", err, out)
}
return nil
}
func Transcript(model whisper.Model, audiopath, language string) (string, error) {
dir, err := os.MkdirTemp("", "whisper")
if err != nil {
return "", err
}
defer os.RemoveAll(dir)
convertedPath := filepath.Join(dir, "converted.wav")
if err := audioToWav(audiopath, convertedPath); err != nil {
return "", err
}
// Open samples
fh, err := os.Open(convertedPath)
if err != nil {
return "", err
}
defer fh.Close()
// Read samples
d := wav.NewDecoder(fh)
buf, err := d.FullPCMBuffer()
if err != nil {
return "", err
}
data := buf.AsFloat32Buffer().Data
// Process samples
context, err := model.NewContext()
if err != nil {
return "", err
}
if language != "" {
context.SetLanguage(language)
}
if err := context.Process(data, nil); err != nil {
return "", err
}
text := ""
for {
segment, err := context.NextSegment()
if err != nil {
break
}
text += segment.Text
}
return text, nil
}

View File

@@ -1,8 +1,10 @@
- name: list1
parameters:
model: testmodel
context_size: 512
threads: 10
top_p: 80
top_k: 0.9
temperature: 0.1
context_size: 10
stopwords:
- "HUMAN:"
- "### Response:"
@@ -14,9 +16,11 @@
chat: ggml-gpt4all-j
- name: list2
parameters:
top_p: 80
top_k: 0.9
temperature: 0.1
model: testmodel
context_size: 512
threads: 10
context_size: 10
stopwords:
- "HUMAN:"
- "### Response:"

View File

@@ -1,8 +1,10 @@
name: gpt4all
parameters:
model: testmodel
context_size: 512
threads: 10
top_p: 80
top_k: 0.9
temperature: 0.1
context_size: 10
stopwords:
- "HUMAN:"
- "### Response:"

View File

@@ -1,8 +1,10 @@
name: gpt4all-2
parameters:
model: testmodel
context_size: 1024
threads: 5
top_p: 80
top_k: 0.9
temperature: 0.1
context_size: 10
stopwords:
- "HUMAN:"
- "### Response:"