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feat(gallery): add BGE large English variants
Offer three GGUF builds and a safetensors build for English retrieval. Pin model files and document the retrieval query prefix. Assisted-by: Codex:gpt-6
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@@ -33,6 +33,16 @@ Example gallery models:
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- `qwen3-embedding-8b` - Qwen3 Embedding 8B model
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- `qwen3-embedding-0.6b` - Qwen3 Embedding 0.6B model
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### BGE-large-en-v1.5
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Install `bge-large-en-v1.5-f16` for English retrieval with llama.cpp. The gallery
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also offers `bge-large-en-v1.5-q8-0`, `bge-large-en-v1.5-q4-k-m`, and
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`bge-large-en-v1.5-transformers` (safetensors) variants. All builds produce
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1024-dimensional embeddings with a 512-token context and CLS pooling.
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For retrieval, prefix search queries with
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`Represent this sentence for searching relevant passages: `, including the trailing
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space. Embed documents without this prefix.
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### Example: Using Qwen3-Embedding-4B from Gallery
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```bash
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@@ -3,6 +3,145 @@
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# written by scripts/models/cmd/modelcatalog and stays only so releases before
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# the cutover keep working. CI fails when it differs from the generated copy:
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# go run ./scripts/models/cmd/modelcatalog --library gallery/models/index.yaml --out gallery/index.yaml
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- url: github:mudler/LocalAI/gallery/virtual.yaml@master
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name: bge-large-en-v1.5-f16
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description: |
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BGE-large-en-v1.5 is a 335M English embedding model for semantic search
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and retrieval. This F16 GGUF build produces 1024-dimensional embeddings
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with a 512-token context. For retrieval, prefix queries with
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"Represent this sentence for searching relevant passages: "; leave passages unprefixed.
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license: mit
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urls:
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- https://huggingface.co/BAAI/bge-large-en-v1.5
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- https://huggingface.co/CompendiumLabs/bge-large-en-v1.5-gguf
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tags:
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- embeddings
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- gguf
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- cpu
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- gpu
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files:
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- filename: bge-large-en-v1.5-f16.gguf
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sha256: 3379a0e9cea28fc6d7136df8ea7a88ef99ccce5963b9a6f7af9609997be762e3
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uri: https://huggingface.co/CompendiumLabs/bge-large-en-v1.5-gguf/resolve/03b9bf107964236f1de7c217f866d1bf27ea677d/bge-large-en-v1.5-f16.gguf
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overrides:
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backend: llama-cpp
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context_size: 512
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embeddings: true
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options:
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- pooling:cls
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parameters:
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model: bge-large-en-v1.5-f16.gguf
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variants:
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- model: bge-large-en-v1.5-q8-0
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- model: bge-large-en-v1.5-q4-k-m
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- model: bge-large-en-v1.5-transformers
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- url: github:mudler/LocalAI/gallery/virtual.yaml@master
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name: bge-large-en-v1.5-q8-0
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description: |
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BGE-large-en-v1.5 is a 335M English embedding model for semantic search
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and retrieval. This Q8_0 GGUF build produces 1024-dimensional embeddings
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with a 512-token context. For retrieval, prefix queries with
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"Represent this sentence for searching relevant passages: "; leave passages unprefixed.
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license: mit
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urls:
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- https://huggingface.co/BAAI/bge-large-en-v1.5
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- https://huggingface.co/CompendiumLabs/bge-large-en-v1.5-gguf
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tags:
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- embeddings
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- gguf
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- cpu
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- gpu
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files:
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- filename: bge-large-en-v1.5-q8_0.gguf
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sha256: 3475a261c0c52536503b8266ea94c6c76a3b282f0ce5d0b12452288ee7eff48a
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uri: https://huggingface.co/CompendiumLabs/bge-large-en-v1.5-gguf/resolve/03b9bf107964236f1de7c217f866d1bf27ea677d/bge-large-en-v1.5-q8_0.gguf
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overrides:
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backend: llama-cpp
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context_size: 512
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embeddings: true
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options:
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- pooling:cls
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parameters:
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model: bge-large-en-v1.5-q8_0.gguf
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- url: github:mudler/LocalAI/gallery/virtual.yaml@master
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name: bge-large-en-v1.5-q4-k-m
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description: |
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BGE-large-en-v1.5 is a 335M English embedding model for semantic search
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and retrieval. This Q4_K_M GGUF build produces 1024-dimensional embeddings
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with a 512-token context. For retrieval, prefix queries with
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"Represent this sentence for searching relevant passages: "; leave passages unprefixed.
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license: mit
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urls:
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- https://huggingface.co/BAAI/bge-large-en-v1.5
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- https://huggingface.co/CompendiumLabs/bge-large-en-v1.5-gguf
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tags:
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- embeddings
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- gguf
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- cpu
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- gpu
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files:
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- filename: bge-large-en-v1.5-q4_k_m.gguf
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sha256: c55f590f8e557ae698a6ecfdbe0bf62ce292f0db94c861d0dfd177e4bd01f700
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uri: https://huggingface.co/CompendiumLabs/bge-large-en-v1.5-gguf/resolve/03b9bf107964236f1de7c217f866d1bf27ea677d/bge-large-en-v1.5-q4_k_m.gguf
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overrides:
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backend: llama-cpp
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context_size: 512
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embeddings: true
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options:
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- pooling:cls
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parameters:
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model: bge-large-en-v1.5-q4_k_m.gguf
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- url: github:mudler/LocalAI/gallery/virtual.yaml@master
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name: bge-large-en-v1.5-transformers
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description: |
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BGE-large-en-v1.5 is a 335M English embedding model for semantic search
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and retrieval. This safetensors build uses the Transformers backend's
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SentenceTransformer loader, producing 1024-dimensional embeddings with
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a 512-token context. For retrieval, prefix queries with
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"Represent this sentence for searching relevant passages: "; leave passages unprefixed.
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license: mit
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urls:
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- https://huggingface.co/BAAI/bge-large-en-v1.5
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tags:
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- embeddings
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- safetensors
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- cpu
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- gpu
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files:
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- filename: bge-large-en-v1.5/model.safetensors
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sha256: 45e1954914e29bd74080e6c1510165274ff5279421c89f76c418878732f64ae7
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uri: https://huggingface.co/BAAI/bge-large-en-v1.5/resolve/d4aa6901d3a41ba39fb536a557fa166f842b0e09/model.safetensors
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- filename: bge-large-en-v1.5/config.json
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sha256: 446712fac367857b4b1302762fe1cd7bfa8b3c4b77b4dc5d77c4025407660896
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uri: https://huggingface.co/BAAI/bge-large-en-v1.5/resolve/d4aa6901d3a41ba39fb536a557fa166f842b0e09/config.json
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- filename: bge-large-en-v1.5/modules.json
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sha256: 84e40c8e006c9b1d6c122e02cba9b02458120b5fb0c87b746c41e0207cf642cf
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uri: https://huggingface.co/BAAI/bge-large-en-v1.5/resolve/d4aa6901d3a41ba39fb536a557fa166f842b0e09/modules.json
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- filename: bge-large-en-v1.5/sentence_bert_config.json
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sha256: 84e39fda68ccbff05bfa723ae9c0e70e23e2ec373b76e0f8c6e71af72a693cbf
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uri: https://huggingface.co/BAAI/bge-large-en-v1.5/resolve/d4aa6901d3a41ba39fb536a557fa166f842b0e09/sentence_bert_config.json
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- filename: bge-large-en-v1.5/1_Pooling/config.json
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sha256: e54c164a07274f2eb45bb724f54a79d1efcc90c41573887cd9a29aeee0597352
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uri: https://huggingface.co/BAAI/bge-large-en-v1.5/resolve/d4aa6901d3a41ba39fb536a557fa166f842b0e09/1_Pooling/config.json
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- filename: bge-large-en-v1.5/tokenizer.json
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sha256: d241a60d5e8f04cc1b2b3e9ef7a4921b27bf526d9f6050ab90f9267a1f9e5c66
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uri: https://huggingface.co/BAAI/bge-large-en-v1.5/resolve/d4aa6901d3a41ba39fb536a557fa166f842b0e09/tokenizer.json
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- filename: bge-large-en-v1.5/tokenizer_config.json
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sha256: 9261e7d79b44c8195c1cada2b453e55b00aeb81e907a6664974b4d7776172ab3
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uri: https://huggingface.co/BAAI/bge-large-en-v1.5/resolve/d4aa6901d3a41ba39fb536a557fa166f842b0e09/tokenizer_config.json
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- filename: bge-large-en-v1.5/special_tokens_map.json
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sha256: b6d346be366a7d1d48332dbc9fdf3bf8960b5d879522b7799ddba59e76237ee3
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uri: https://huggingface.co/BAAI/bge-large-en-v1.5/resolve/d4aa6901d3a41ba39fb536a557fa166f842b0e09/special_tokens_map.json
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- filename: bge-large-en-v1.5/vocab.txt
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sha256: 07eced375cec144d27c900241f3e339478dec958f92fddbc551f295c992038a3
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uri: https://huggingface.co/BAAI/bge-large-en-v1.5/resolve/d4aa6901d3a41ba39fb536a557fa166f842b0e09/vocab.txt
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overrides:
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backend: transformers
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context_size: 512
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embeddings: true
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parameters:
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model: bge-large-en-v1.5
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type: SentenceTransformer
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- url: github:mudler/LocalAI/gallery/virtual.yaml@master
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name: adavar-3b-q4
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description: |
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@@ -4,6 +4,177 @@
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# changes and never edit it by hand. CI fails when it is stale. A build from
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# master reads it as the default model source; a tagged build reads the gallery
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# until the release cutover.
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- kind: model
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id: bge-large-en-v1.5-f16
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name: bge-large-en-v1.5-f16
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version: 0.0.0-gallery.e0ec1f7fa544
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description: |
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BGE-large-en-v1.5 is a 335M English embedding model for semantic search
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and retrieval. This F16 GGUF build produces 1024-dimensional embeddings
|
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with a 512-token context. For retrieval, prefix queries with
|
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"Represent this sentence for searching relevant passages: "; leave passages unprefixed.
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license: mit
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urls:
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- https://huggingface.co/BAAI/bge-large-en-v1.5
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- https://huggingface.co/CompendiumLabs/bge-large-en-v1.5-gguf
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tags:
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- embeddings
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- gguf
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- cpu
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- gpu
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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: bge-large-en-v1.5-f16.gguf
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sha256: 3379a0e9cea28fc6d7136df8ea7a88ef99ccce5963b9a6f7af9609997be762e3
|
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uri: https://huggingface.co/CompendiumLabs/bge-large-en-v1.5-gguf/resolve/03b9bf107964236f1de7c217f866d1bf27ea677d/bge-large-en-v1.5-f16.gguf
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overrides:
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backend: llama-cpp
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context_size: 512
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embeddings: true
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options:
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- pooling:cls
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parameters:
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model: bge-large-en-v1.5-f16.gguf
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variants:
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- model: bge-large-en-v1.5-q8-0
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- model: bge-large-en-v1.5-q4-k-m
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- model: bge-large-en-v1.5-transformers
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- kind: model
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id: bge-large-en-v1.5-q8-0
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name: bge-large-en-v1.5-q8-0
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version: 0.0.0-gallery.f5800d01c181
|
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description: |
|
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BGE-large-en-v1.5 is a 335M English embedding model for semantic search
|
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and retrieval. This Q8_0 GGUF build produces 1024-dimensional embeddings
|
||||
with a 512-token context. For retrieval, prefix queries with
|
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"Represent this sentence for searching relevant passages: "; leave passages unprefixed.
|
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license: mit
|
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urls:
|
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- https://huggingface.co/BAAI/bge-large-en-v1.5
|
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- https://huggingface.co/CompendiumLabs/bge-large-en-v1.5-gguf
|
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tags:
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- embeddings
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- gguf
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- cpu
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- gpu
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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: bge-large-en-v1.5-q8_0.gguf
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sha256: 3475a261c0c52536503b8266ea94c6c76a3b282f0ce5d0b12452288ee7eff48a
|
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uri: https://huggingface.co/CompendiumLabs/bge-large-en-v1.5-gguf/resolve/03b9bf107964236f1de7c217f866d1bf27ea677d/bge-large-en-v1.5-q8_0.gguf
|
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overrides:
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backend: llama-cpp
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context_size: 512
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embeddings: true
|
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options:
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- pooling:cls
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parameters:
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model: bge-large-en-v1.5-q8_0.gguf
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- kind: model
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id: bge-large-en-v1.5-q4-k-m
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name: bge-large-en-v1.5-q4-k-m
|
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version: 0.0.0-gallery.b4e3a2ebb39e
|
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description: |
|
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BGE-large-en-v1.5 is a 335M English embedding model for semantic search
|
||||
and retrieval. This Q4_K_M GGUF build produces 1024-dimensional embeddings
|
||||
with a 512-token context. For retrieval, prefix queries with
|
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"Represent this sentence for searching relevant passages: "; leave passages unprefixed.
|
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license: mit
|
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urls:
|
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- https://huggingface.co/BAAI/bge-large-en-v1.5
|
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- https://huggingface.co/CompendiumLabs/bge-large-en-v1.5-gguf
|
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tags:
|
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- embeddings
|
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- gguf
|
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- cpu
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- gpu
|
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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:
|
||||
- filename: bge-large-en-v1.5-q4_k_m.gguf
|
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sha256: c55f590f8e557ae698a6ecfdbe0bf62ce292f0db94c861d0dfd177e4bd01f700
|
||||
uri: https://huggingface.co/CompendiumLabs/bge-large-en-v1.5-gguf/resolve/03b9bf107964236f1de7c217f866d1bf27ea677d/bge-large-en-v1.5-q4_k_m.gguf
|
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overrides:
|
||||
backend: llama-cpp
|
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context_size: 512
|
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embeddings: true
|
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options:
|
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- pooling:cls
|
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parameters:
|
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model: bge-large-en-v1.5-q4_k_m.gguf
|
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- kind: model
|
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id: bge-large-en-v1.5-transformers
|
||||
name: bge-large-en-v1.5-transformers
|
||||
version: 0.0.0-gallery.57e04c6c3e58
|
||||
description: |
|
||||
BGE-large-en-v1.5 is a 335M English embedding model for semantic search
|
||||
and retrieval. This safetensors build uses the Transformers backend's
|
||||
SentenceTransformer loader, producing 1024-dimensional embeddings with
|
||||
a 512-token context. For retrieval, prefix queries with
|
||||
"Represent this sentence for searching relevant passages: "; leave passages unprefixed.
|
||||
license: mit
|
||||
urls:
|
||||
- https://huggingface.co/BAAI/bge-large-en-v1.5
|
||||
tags:
|
||||
- embeddings
|
||||
- safetensors
|
||||
- cpu
|
||||
- gpu
|
||||
channel: gallery
|
||||
policy:
|
||||
requireSignature: false
|
||||
schemaVersion: 1
|
||||
model:
|
||||
url: github:mudler/LocalAI/gallery/virtual.yaml@master
|
||||
files:
|
||||
- filename: bge-large-en-v1.5/model.safetensors
|
||||
sha256: 45e1954914e29bd74080e6c1510165274ff5279421c89f76c418878732f64ae7
|
||||
uri: https://huggingface.co/BAAI/bge-large-en-v1.5/resolve/d4aa6901d3a41ba39fb536a557fa166f842b0e09/model.safetensors
|
||||
- filename: bge-large-en-v1.5/config.json
|
||||
sha256: 446712fac367857b4b1302762fe1cd7bfa8b3c4b77b4dc5d77c4025407660896
|
||||
uri: https://huggingface.co/BAAI/bge-large-en-v1.5/resolve/d4aa6901d3a41ba39fb536a557fa166f842b0e09/config.json
|
||||
- filename: bge-large-en-v1.5/modules.json
|
||||
sha256: 84e40c8e006c9b1d6c122e02cba9b02458120b5fb0c87b746c41e0207cf642cf
|
||||
uri: https://huggingface.co/BAAI/bge-large-en-v1.5/resolve/d4aa6901d3a41ba39fb536a557fa166f842b0e09/modules.json
|
||||
- filename: bge-large-en-v1.5/sentence_bert_config.json
|
||||
sha256: 84e39fda68ccbff05bfa723ae9c0e70e23e2ec373b76e0f8c6e71af72a693cbf
|
||||
uri: https://huggingface.co/BAAI/bge-large-en-v1.5/resolve/d4aa6901d3a41ba39fb536a557fa166f842b0e09/sentence_bert_config.json
|
||||
- filename: bge-large-en-v1.5/1_Pooling/config.json
|
||||
sha256: e54c164a07274f2eb45bb724f54a79d1efcc90c41573887cd9a29aeee0597352
|
||||
uri: https://huggingface.co/BAAI/bge-large-en-v1.5/resolve/d4aa6901d3a41ba39fb536a557fa166f842b0e09/1_Pooling/config.json
|
||||
- filename: bge-large-en-v1.5/tokenizer.json
|
||||
sha256: d241a60d5e8f04cc1b2b3e9ef7a4921b27bf526d9f6050ab90f9267a1f9e5c66
|
||||
uri: https://huggingface.co/BAAI/bge-large-en-v1.5/resolve/d4aa6901d3a41ba39fb536a557fa166f842b0e09/tokenizer.json
|
||||
- filename: bge-large-en-v1.5/tokenizer_config.json
|
||||
sha256: 9261e7d79b44c8195c1cada2b453e55b00aeb81e907a6664974b4d7776172ab3
|
||||
uri: https://huggingface.co/BAAI/bge-large-en-v1.5/resolve/d4aa6901d3a41ba39fb536a557fa166f842b0e09/tokenizer_config.json
|
||||
- filename: bge-large-en-v1.5/special_tokens_map.json
|
||||
sha256: b6d346be366a7d1d48332dbc9fdf3bf8960b5d879522b7799ddba59e76237ee3
|
||||
uri: https://huggingface.co/BAAI/bge-large-en-v1.5/resolve/d4aa6901d3a41ba39fb536a557fa166f842b0e09/special_tokens_map.json
|
||||
- filename: bge-large-en-v1.5/vocab.txt
|
||||
sha256: 07eced375cec144d27c900241f3e339478dec958f92fddbc551f295c992038a3
|
||||
uri: https://huggingface.co/BAAI/bge-large-en-v1.5/resolve/d4aa6901d3a41ba39fb536a557fa166f842b0e09/vocab.txt
|
||||
overrides:
|
||||
backend: transformers
|
||||
context_size: 512
|
||||
embeddings: true
|
||||
parameters:
|
||||
model: bge-large-en-v1.5
|
||||
type: SentenceTransformer
|
||||
- kind: model
|
||||
id: adavar-3b-q4
|
||||
name: adavar-3b-q4
|
||||
|
||||
Reference in new issue
Block a user