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feat(gallery): add MiniCPM-OCR 1.0 models
Add OpenBMB's 1.3B Chinese/English document parser to the gallery as
three llama.cpp entries: the recommended Q8_0 build, a smaller Q4_K_M
build for constrained hosts, and an optional DSpark build that pairs the
Q8_0 target with the official speculative draft.
All entries install the required F16 4x vision projector, default to an
8,192-token single-slot context, and keep thinking disabled so
transcriptions land in the response content. Q8_0 is the declaring entry;
the other two are selectable variants.
Tested text, table, and mixed Chinese/English page OCR through LocalAI
on an RTX 4090; the DSpark build reached about 0.96 draft acceptance. The
model's projector type is new in llama.cpp, so the entries need a backend
built from the current master pin; the latest release backend predates it.
Assisted-by: claude code:opus5.5
Signed-off-by: Caldalis <zyk_computer@163.com>
(cherry picked from commit 91ff3f06cc)
This commit is contained in:
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@@ -0,0 +1,125 @@
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// SPDX-License-Identifier: MIT
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package gallery_test
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import (
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. "github.com/onsi/ginkgo/v2"
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. "github.com/onsi/gomega"
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"github.com/mudler/LocalAI/core/gallery"
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)
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// MiniCPM-OCR only runs as a multimodal model: the 4x projector is required,
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// and the entry must keep thinking disabled so the transcription lands in the
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// response content instead of the reasoning channel. The DSpark build adds a
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// second model file that must be named as the draft, not as a variant's
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// primary weights.
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var _ = Describe("gallery/index.yaml MiniCPM-OCR entries", func() {
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const (
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modelDir = "llama-cpp/models/minicpm-ocr-1.0/"
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mmproj = modelDir + "mmproj-model-f16-4x.gguf"
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mmprojSHA = "ceed82261b3b1380c3165f8b37c10117a50093be1362cbfeeb692fa036444682"
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q8 = modelDir + "MiniCPM-OCR-1_0-Q8_0.gguf"
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q8SHA = "791486a476bdacb48acb3f31aa3a18dbb5be87e723a4074bcd13a37d61c852e2"
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q4 = modelDir + "MiniCPM-OCR-1_0-Q4_K_M.gguf"
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q4SHA = "c80a703400633f298cc2fddf6d493a541be36918c0801c0b1bf3f14c5703ce49"
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dspark = modelDir + "dspark-MiniCPM-OCR-1_0-Q8_0.gguf"
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dsparkSHA = "fd8f64bb62cf5a5c6b4c0999bfa58f64453690c9f75f1124ab613dfb44a822da"
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ocrBase = "https://huggingface.co/openbmb/MiniCPM-OCR-1.0-gguf/resolve/9ba8c0db38ec333bdd83d44a88d25c6f1d748ba4/"
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dsparkURL = "https://huggingface.co/openbmb/MiniCPM-OCR-1.0-DSpark-gguf/resolve/265c4dc398c8d5c0ac56a4dd155a5a97b2037226/"
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)
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byName := func() map[string]gallery.GalleryModel {
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entries, err := loadGalleryIndex()
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Expect(err).ToNot(HaveOccurred())
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return indexEntriesByName(entries)
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}
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fileByName := func(e gallery.GalleryModel, name string) (gallery.File, bool) {
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for _, f := range e.AdditionalFiles {
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if f.Filename == name {
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return f, true
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}
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}
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return gallery.File{}, false
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}
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It("declares the Q8, Q4_K_M and DSpark builds as one selectable family", func() {
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entries := byName()
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base, ok := entries["minicpm-ocr-1.0-q8"]
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Expect(ok).To(BeTrue())
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variants := make([]string, 0, len(base.Variants))
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for _, v := range base.Variants {
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variants = append(variants, v.Model)
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}
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Expect(variants).To(ConsistOf("minicpm-ocr-1.0-q4km", "minicpm-ocr-1.0-dspark"))
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for _, name := range []string{"minicpm-ocr-1.0-q8", "minicpm-ocr-1.0-q4km", "minicpm-ocr-1.0-dspark"} {
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e, ok := entries[name]
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Expect(ok).To(BeTrue(), name)
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Expect(e.License).To(Equal("apache-2.0"), name)
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Expect(e.Overrides).To(HaveKeyWithValue("backend", "llama-cpp"), name)
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Expect(e.Overrides).To(HaveKeyWithValue("context_size", 8192), name)
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Expect(e.Overrides).To(HaveKeyWithValue("mmproj", mmproj), name)
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Expect(e.Overrides["known_usecases"]).To(ConsistOf("chat", "vision"), name)
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tmpl, ok := e.Overrides["template"].(map[string]any)
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Expect(ok).To(BeTrue(), name)
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Expect(tmpl).To(HaveKeyWithValue("use_tokenizer_template", true), name)
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}
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})
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It("keeps thinking disabled and selects the expected weights", func() {
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entries := byName()
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q8Entry := entries["minicpm-ocr-1.0-q8"]
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Expect(q8Entry.Overrides["options"]).To(ConsistOf("use_jinja:true", "enable_reasoning:0", "parallel:1"))
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Expect(q8Entry.Overrides["parameters"]).To(HaveKeyWithValue("model", q8))
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q4Entry := entries["minicpm-ocr-1.0-q4km"]
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Expect(q4Entry.Overrides["options"]).To(ConsistOf("use_jinja:true", "enable_reasoning:0", "parallel:1"))
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Expect(q4Entry.Overrides["parameters"]).To(HaveKeyWithValue("model", q4))
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dsparkEntry := entries["minicpm-ocr-1.0-dspark"]
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Expect(dsparkEntry.Overrides["options"]).To(ConsistOf(
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"use_jinja:true", "enable_reasoning:0", "parallel:1", "spec_type:draft-dspark", "spec_n_max:15"))
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Expect(dsparkEntry.Overrides).To(HaveKeyWithValue("draft_model", dspark))
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Expect(dsparkEntry.Overrides["parameters"]).To(HaveKeyWithValue("model", q8))
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})
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It("pins every weight and projector to the published sha256", func() {
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entries := byName()
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want := map[string]map[string]string{
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"minicpm-ocr-1.0-q8": {
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q8: q8SHA,
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mmproj: mmprojSHA,
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},
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"minicpm-ocr-1.0-q4km": {
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q4: q4SHA,
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mmproj: mmprojSHA,
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},
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"minicpm-ocr-1.0-dspark": {
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q8: q8SHA,
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dspark: dsparkSHA,
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mmproj: mmprojSHA,
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},
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}
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for name, files := range want {
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e := entries[name]
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Expect(e.AdditionalFiles).To(HaveLen(len(files)), name)
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for filename, sha := range files {
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f, ok := fileByName(e, filename)
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Expect(ok).To(BeTrue(), name+": "+filename)
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Expect(f.SHA256).To(Equal(sha), name+": "+filename)
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}
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}
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q8File, _ := fileByName(entries["minicpm-ocr-1.0-q8"], q8)
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Expect(q8File.URI).To(Equal(ocrBase + "MiniCPM-OCR-1_0-Q8_0.gguf"))
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mmprojFile, _ := fileByName(entries["minicpm-ocr-1.0-q8"], mmproj)
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Expect(mmprojFile.URI).To(Equal(ocrBase + "mmproj-model-f16-4x.gguf"))
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q4File, _ := fileByName(entries["minicpm-ocr-1.0-q4km"], q4)
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Expect(q4File.URI).To(Equal(ocrBase + "MiniCPM-OCR-1_0-Q4_K_M.gguf"))
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dsparkFile, _ := fileByName(entries["minicpm-ocr-1.0-dspark"], dspark)
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Expect(dsparkFile.URI).To(Equal(dsparkURL + "dspark-MiniCPM-OCR-1_0-Q8_0.gguf"))
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})
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})
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@@ -31223,6 +31223,168 @@
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model: OvisOCR2-Q8_0.gguf
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template:
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use_tokenizer_template: true
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- url: github:mudler/LocalAI/gallery/virtual.yaml@master
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name: minicpm-ocr-1.0-q8
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description: |
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MiniCPM-OCR 1.0 is OpenBMB's 1.3B document-parsing model for Chinese and
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English text, tables, formulas, charts, and seals. This entry uses the
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official Q8_0 GGUF weights and the required F16 4x vision projector
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through llama.cpp, with an 8,192-token default context. Prompt the model
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with "Text Recognition:" for text, "Table Recognition:" for tables, or
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"Formula Recognition:" for formulas. Table output is the model's OTSL
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markup, which clients can convert to HTML.
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license: apache-2.0
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urls:
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- https://huggingface.co/openbmb/MiniCPM-OCR-1.0
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- https://huggingface.co/openbmb/MiniCPM-OCR-1.0-gguf
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icon: https://avatars.githubusercontent.com/u/89920203
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tags:
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- llm
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- gguf
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- gpu
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- cpu
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- image-to-text
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- ocr
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- document-parsing
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- multimodal
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- vision
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- minicpm
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files:
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- filename: llama-cpp/models/minicpm-ocr-1.0/MiniCPM-OCR-1_0-Q8_0.gguf
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sha256: 791486a476bdacb48acb3f31aa3a18dbb5be87e723a4074bcd13a37d61c852e2
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uri: https://huggingface.co/openbmb/MiniCPM-OCR-1.0-gguf/resolve/9ba8c0db38ec333bdd83d44a88d25c6f1d748ba4/MiniCPM-OCR-1_0-Q8_0.gguf
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- filename: llama-cpp/models/minicpm-ocr-1.0/mmproj-model-f16-4x.gguf
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sha256: ceed82261b3b1380c3165f8b37c10117a50093be1362cbfeeb692fa036444682
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uri: https://huggingface.co/openbmb/MiniCPM-OCR-1.0-gguf/resolve/9ba8c0db38ec333bdd83d44a88d25c6f1d748ba4/mmproj-model-f16-4x.gguf
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overrides:
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backend: llama-cpp
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context_size: 8192
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known_usecases:
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- chat
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- vision
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mmproj: llama-cpp/models/minicpm-ocr-1.0/mmproj-model-f16-4x.gguf
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options:
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- use_jinja:true
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- enable_reasoning:0
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- parallel:1
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parameters:
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model: llama-cpp/models/minicpm-ocr-1.0/MiniCPM-OCR-1_0-Q8_0.gguf
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temperature: 0.01
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top_k: 1
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top_p: 0.001
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template:
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use_tokenizer_template: true
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variants:
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- model: minicpm-ocr-1.0-q4km
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- model: minicpm-ocr-1.0-dspark
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- url: github:mudler/LocalAI/gallery/virtual.yaml@master
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name: minicpm-ocr-1.0-q4km
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description: |
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MiniCPM-OCR 1.0 in the smaller Q4_K_M GGUF build, with the required F16
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4x vision projector and an 8,192-token default context. Tables stay
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lossless at this size; dense text may degrade slightly. Prompt the model
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with "Text Recognition:" for text, "Table Recognition:" for tables, or
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"Formula Recognition:" for formulas. Table output is the model's OTSL
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markup, which clients can convert to HTML.
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license: apache-2.0
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urls:
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- https://huggingface.co/openbmb/MiniCPM-OCR-1.0
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- https://huggingface.co/openbmb/MiniCPM-OCR-1.0-gguf
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icon: https://avatars.githubusercontent.com/u/89920203
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tags:
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- llm
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- gguf
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- gpu
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- cpu
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- image-to-text
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- ocr
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- document-parsing
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- multimodal
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- vision
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- minicpm
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files:
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- filename: llama-cpp/models/minicpm-ocr-1.0/MiniCPM-OCR-1_0-Q4_K_M.gguf
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sha256: c80a703400633f298cc2fddf6d493a541be36918c0801c0b1bf3f14c5703ce49
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uri: https://huggingface.co/openbmb/MiniCPM-OCR-1.0-gguf/resolve/9ba8c0db38ec333bdd83d44a88d25c6f1d748ba4/MiniCPM-OCR-1_0-Q4_K_M.gguf
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- filename: llama-cpp/models/minicpm-ocr-1.0/mmproj-model-f16-4x.gguf
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sha256: ceed82261b3b1380c3165f8b37c10117a50093be1362cbfeeb692fa036444682
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uri: https://huggingface.co/openbmb/MiniCPM-OCR-1.0-gguf/resolve/9ba8c0db38ec333bdd83d44a88d25c6f1d748ba4/mmproj-model-f16-4x.gguf
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overrides:
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backend: llama-cpp
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context_size: 8192
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known_usecases:
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- chat
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- vision
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mmproj: llama-cpp/models/minicpm-ocr-1.0/mmproj-model-f16-4x.gguf
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options:
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- use_jinja:true
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- enable_reasoning:0
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- parallel:1
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parameters:
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model: llama-cpp/models/minicpm-ocr-1.0/MiniCPM-OCR-1_0-Q4_K_M.gguf
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temperature: 0.01
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top_k: 1
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top_p: 0.001
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template:
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use_tokenizer_template: true
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- url: github:mudler/LocalAI/gallery/virtual.yaml@master
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name: minicpm-ocr-1.0-dspark
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description: |
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MiniCPM-OCR 1.0 with OpenBMB's DSpark speculative drafter. DSpark
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proposes blocks of tokens that the target verifies, which speeds up
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generation without changing the target model's output. This entry pairs
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the Q8_0 target with the matching Q8_0 draft and the required F16 4x
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vision projector, with an 8,192-token default context.
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license: apache-2.0
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urls:
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- https://huggingface.co/openbmb/MiniCPM-OCR-1.0
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- https://huggingface.co/openbmb/MiniCPM-OCR-1.0-gguf
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- https://huggingface.co/openbmb/MiniCPM-OCR-1.0-DSpark
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- https://huggingface.co/openbmb/MiniCPM-OCR-1.0-DSpark-gguf
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icon: https://avatars.githubusercontent.com/u/89920203
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tags:
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- llm
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- gguf
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- gpu
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- cpu
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- image-to-text
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- ocr
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- document-parsing
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- multimodal
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- vision
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- minicpm
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- dspark
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files:
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- filename: llama-cpp/models/minicpm-ocr-1.0/MiniCPM-OCR-1_0-Q8_0.gguf
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sha256: 791486a476bdacb48acb3f31aa3a18dbb5be87e723a4074bcd13a37d61c852e2
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uri: https://huggingface.co/openbmb/MiniCPM-OCR-1.0-gguf/resolve/9ba8c0db38ec333bdd83d44a88d25c6f1d748ba4/MiniCPM-OCR-1_0-Q8_0.gguf
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- filename: llama-cpp/models/minicpm-ocr-1.0/dspark-MiniCPM-OCR-1_0-Q8_0.gguf
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sha256: fd8f64bb62cf5a5c6b4c0999bfa58f64453690c9f75f1124ab613dfb44a822da
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uri: https://huggingface.co/openbmb/MiniCPM-OCR-1.0-DSpark-gguf/resolve/265c4dc398c8d5c0ac56a4dd155a5a97b2037226/dspark-MiniCPM-OCR-1_0-Q8_0.gguf
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- filename: llama-cpp/models/minicpm-ocr-1.0/mmproj-model-f16-4x.gguf
|
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sha256: ceed82261b3b1380c3165f8b37c10117a50093be1362cbfeeb692fa036444682
|
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uri: https://huggingface.co/openbmb/MiniCPM-OCR-1.0-gguf/resolve/9ba8c0db38ec333bdd83d44a88d25c6f1d748ba4/mmproj-model-f16-4x.gguf
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overrides:
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backend: llama-cpp
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context_size: 8192
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draft_model: llama-cpp/models/minicpm-ocr-1.0/dspark-MiniCPM-OCR-1_0-Q8_0.gguf
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known_usecases:
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- chat
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- vision
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mmproj: llama-cpp/models/minicpm-ocr-1.0/mmproj-model-f16-4x.gguf
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options:
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- use_jinja:true
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- enable_reasoning:0
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- parallel:1
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- spec_type:draft-dspark
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- spec_n_max:15
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parameters:
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model: llama-cpp/models/minicpm-ocr-1.0/MiniCPM-OCR-1_0-Q8_0.gguf
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temperature: 0.01
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top_k: 1
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top_p: 0.001
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template:
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use_tokenizer_template: true
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- url: github:mudler/LocalAI/gallery/jamba.yaml@master
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name: ai21labs_ai21-jamba-reasoning-3b
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description: |
|
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@@ -36648,6 +36648,192 @@
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model: OvisOCR2-Q8_0.gguf
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template:
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use_tokenizer_template: true
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- kind: model
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id: minicpm-ocr-1.0-q8
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name: minicpm-ocr-1.0-q8
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version: 0.1.0
|
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description: |
|
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MiniCPM-OCR 1.0 is OpenBMB's 1.3B document-parsing model for Chinese and
|
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English text, tables, formulas, charts, and seals. This entry uses the
|
||||
official Q8_0 GGUF weights and the required F16 4x vision projector
|
||||
through llama.cpp, with an 8,192-token default context. Prompt the model
|
||||
with "Text Recognition:" for text, "Table Recognition:" for tables, or
|
||||
"Formula Recognition:" for formulas. Table output is the model's OTSL
|
||||
markup, which clients can convert to HTML.
|
||||
license: apache-2.0
|
||||
urls:
|
||||
- https://huggingface.co/openbmb/MiniCPM-OCR-1.0
|
||||
- https://huggingface.co/openbmb/MiniCPM-OCR-1.0-gguf
|
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tags:
|
||||
- llm
|
||||
- gguf
|
||||
- gpu
|
||||
- cpu
|
||||
- image-to-text
|
||||
- ocr
|
||||
- document-parsing
|
||||
- multimodal
|
||||
- vision
|
||||
- minicpm
|
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icon: https://avatars.githubusercontent.com/u/89920203
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channel: gallery
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policy:
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requireSignature: false
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schemaVersion: 1
|
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model:
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url: github:mudler/LocalAI/gallery/virtual.yaml@master
|
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files:
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- filename: llama-cpp/models/minicpm-ocr-1.0/MiniCPM-OCR-1_0-Q8_0.gguf
|
||||
sha256: 791486a476bdacb48acb3f31aa3a18dbb5be87e723a4074bcd13a37d61c852e2
|
||||
uri: https://huggingface.co/openbmb/MiniCPM-OCR-1.0-gguf/resolve/9ba8c0db38ec333bdd83d44a88d25c6f1d748ba4/MiniCPM-OCR-1_0-Q8_0.gguf
|
||||
- filename: llama-cpp/models/minicpm-ocr-1.0/mmproj-model-f16-4x.gguf
|
||||
sha256: ceed82261b3b1380c3165f8b37c10117a50093be1362cbfeeb692fa036444682
|
||||
uri: https://huggingface.co/openbmb/MiniCPM-OCR-1.0-gguf/resolve/9ba8c0db38ec333bdd83d44a88d25c6f1d748ba4/mmproj-model-f16-4x.gguf
|
||||
overrides:
|
||||
backend: llama-cpp
|
||||
context_size: 8192
|
||||
known_usecases:
|
||||
- chat
|
||||
- vision
|
||||
mmproj: llama-cpp/models/minicpm-ocr-1.0/mmproj-model-f16-4x.gguf
|
||||
options:
|
||||
- use_jinja:true
|
||||
- enable_reasoning:0
|
||||
- parallel:1
|
||||
parameters:
|
||||
model: llama-cpp/models/minicpm-ocr-1.0/MiniCPM-OCR-1_0-Q8_0.gguf
|
||||
temperature: 0.01
|
||||
top_p: 0.001
|
||||
top_k: 1
|
||||
template:
|
||||
use_tokenizer_template: true
|
||||
variants:
|
||||
- model: minicpm-ocr-1.0-q4km
|
||||
- model: minicpm-ocr-1.0-dspark
|
||||
- kind: model
|
||||
id: minicpm-ocr-1.0-q4km
|
||||
name: minicpm-ocr-1.0-q4km
|
||||
version: 0.1.0
|
||||
description: |
|
||||
MiniCPM-OCR 1.0 in the smaller Q4_K_M GGUF build, with the required F16
|
||||
4x vision projector and an 8,192-token default context. Tables stay
|
||||
lossless at this size; dense text may degrade slightly. Prompt the model
|
||||
with "Text Recognition:" for text, "Table Recognition:" for tables, or
|
||||
"Formula Recognition:" for formulas. Table output is the model's OTSL
|
||||
markup, which clients can convert to HTML.
|
||||
license: apache-2.0
|
||||
urls:
|
||||
- https://huggingface.co/openbmb/MiniCPM-OCR-1.0
|
||||
- https://huggingface.co/openbmb/MiniCPM-OCR-1.0-gguf
|
||||
tags:
|
||||
- llm
|
||||
- gguf
|
||||
- gpu
|
||||
- cpu
|
||||
- image-to-text
|
||||
- ocr
|
||||
- document-parsing
|
||||
- multimodal
|
||||
- vision
|
||||
- minicpm
|
||||
icon: https://avatars.githubusercontent.com/u/89920203
|
||||
channel: gallery
|
||||
policy:
|
||||
requireSignature: false
|
||||
schemaVersion: 1
|
||||
model:
|
||||
url: github:mudler/LocalAI/gallery/virtual.yaml@master
|
||||
files:
|
||||
- filename: llama-cpp/models/minicpm-ocr-1.0/MiniCPM-OCR-1_0-Q4_K_M.gguf
|
||||
sha256: c80a703400633f298cc2fddf6d493a541be36918c0801c0b1bf3f14c5703ce49
|
||||
uri: https://huggingface.co/openbmb/MiniCPM-OCR-1.0-gguf/resolve/9ba8c0db38ec333bdd83d44a88d25c6f1d748ba4/MiniCPM-OCR-1_0-Q4_K_M.gguf
|
||||
- filename: llama-cpp/models/minicpm-ocr-1.0/mmproj-model-f16-4x.gguf
|
||||
sha256: ceed82261b3b1380c3165f8b37c10117a50093be1362cbfeeb692fa036444682
|
||||
uri: https://huggingface.co/openbmb/MiniCPM-OCR-1.0-gguf/resolve/9ba8c0db38ec333bdd83d44a88d25c6f1d748ba4/mmproj-model-f16-4x.gguf
|
||||
overrides:
|
||||
backend: llama-cpp
|
||||
context_size: 8192
|
||||
known_usecases:
|
||||
- chat
|
||||
- vision
|
||||
mmproj: llama-cpp/models/minicpm-ocr-1.0/mmproj-model-f16-4x.gguf
|
||||
options:
|
||||
- use_jinja:true
|
||||
- enable_reasoning:0
|
||||
- parallel:1
|
||||
parameters:
|
||||
model: llama-cpp/models/minicpm-ocr-1.0/MiniCPM-OCR-1_0-Q4_K_M.gguf
|
||||
temperature: 0.01
|
||||
top_p: 0.001
|
||||
top_k: 1
|
||||
template:
|
||||
use_tokenizer_template: true
|
||||
- kind: model
|
||||
id: minicpm-ocr-1.0-dspark
|
||||
name: minicpm-ocr-1.0-dspark
|
||||
version: 0.1.0
|
||||
description: |
|
||||
MiniCPM-OCR 1.0 with OpenBMB's DSpark speculative drafter. DSpark
|
||||
proposes blocks of tokens that the target verifies, which speeds up
|
||||
generation without changing the target model's output. This entry pairs
|
||||
the Q8_0 target with the matching Q8_0 draft and the required F16 4x
|
||||
vision projector, with an 8,192-token default context.
|
||||
license: apache-2.0
|
||||
urls:
|
||||
- https://huggingface.co/openbmb/MiniCPM-OCR-1.0
|
||||
- https://huggingface.co/openbmb/MiniCPM-OCR-1.0-gguf
|
||||
- https://huggingface.co/openbmb/MiniCPM-OCR-1.0-DSpark
|
||||
- https://huggingface.co/openbmb/MiniCPM-OCR-1.0-DSpark-gguf
|
||||
tags:
|
||||
- llm
|
||||
- gguf
|
||||
- gpu
|
||||
- cpu
|
||||
- image-to-text
|
||||
- ocr
|
||||
- document-parsing
|
||||
- multimodal
|
||||
- vision
|
||||
- minicpm
|
||||
- dspark
|
||||
icon: https://avatars.githubusercontent.com/u/89920203
|
||||
channel: gallery
|
||||
policy:
|
||||
requireSignature: false
|
||||
schemaVersion: 1
|
||||
model:
|
||||
url: github:mudler/LocalAI/gallery/virtual.yaml@master
|
||||
files:
|
||||
- filename: llama-cpp/models/minicpm-ocr-1.0/MiniCPM-OCR-1_0-Q8_0.gguf
|
||||
sha256: 791486a476bdacb48acb3f31aa3a18dbb5be87e723a4074bcd13a37d61c852e2
|
||||
uri: https://huggingface.co/openbmb/MiniCPM-OCR-1.0-gguf/resolve/9ba8c0db38ec333bdd83d44a88d25c6f1d748ba4/MiniCPM-OCR-1_0-Q8_0.gguf
|
||||
- filename: llama-cpp/models/minicpm-ocr-1.0/dspark-MiniCPM-OCR-1_0-Q8_0.gguf
|
||||
sha256: fd8f64bb62cf5a5c6b4c0999bfa58f64453690c9f75f1124ab613dfb44a822da
|
||||
uri: https://huggingface.co/openbmb/MiniCPM-OCR-1.0-DSpark-gguf/resolve/265c4dc398c8d5c0ac56a4dd155a5a97b2037226/dspark-MiniCPM-OCR-1_0-Q8_0.gguf
|
||||
- filename: llama-cpp/models/minicpm-ocr-1.0/mmproj-model-f16-4x.gguf
|
||||
sha256: ceed82261b3b1380c3165f8b37c10117a50093be1362cbfeeb692fa036444682
|
||||
uri: https://huggingface.co/openbmb/MiniCPM-OCR-1.0-gguf/resolve/9ba8c0db38ec333bdd83d44a88d25c6f1d748ba4/mmproj-model-f16-4x.gguf
|
||||
overrides:
|
||||
backend: llama-cpp
|
||||
context_size: 8192
|
||||
draft_model: llama-cpp/models/minicpm-ocr-1.0/dspark-MiniCPM-OCR-1_0-Q8_0.gguf
|
||||
known_usecases:
|
||||
- chat
|
||||
- vision
|
||||
mmproj: llama-cpp/models/minicpm-ocr-1.0/mmproj-model-f16-4x.gguf
|
||||
options:
|
||||
- use_jinja:true
|
||||
- enable_reasoning:0
|
||||
- parallel:1
|
||||
- spec_type:draft-dspark
|
||||
- spec_n_max:15
|
||||
parameters:
|
||||
model: llama-cpp/models/minicpm-ocr-1.0/MiniCPM-OCR-1_0-Q8_0.gguf
|
||||
temperature: 0.01
|
||||
top_p: 0.001
|
||||
top_k: 1
|
||||
template:
|
||||
use_tokenizer_template: true
|
||||
- kind: model
|
||||
id: ai21labs_ai21-jamba-reasoning-3b
|
||||
name: ai21labs_ai21-jamba-reasoning-3b
|
||||
|
||||
Reference in new issue
Block a user