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second-state/Llava-v1.6-Vicuna-7B-GGUF

sourceHugging Facellama2updated 3y agoView on Hugging Face
4likes2.6kdownloads
Model Card

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Llava-v1.6-Vicuna-7B-GGUF

Original Model

liuhaotian/llava-v1.6-vicuna-7b

Run with LlamaEdge

  • —LlamaEdge version: comming soon
  • —Prompt template
  • —Prompt type: vicuna-llava
  • —Prompt string
text
    <system_prompt>\nUSER:<image_embeddings>\n<textual_prompt>\nASSISTANT:
  • —Context size: 4096
  • —Run as LlamaEdge service
bash
  wasmedge --dir .:. --nn-preload default:GGML:AUTO:llava-v1.6-vicuna-7b-Q5_K_M.gguf llama-api-server.wasm -p vicuna-llava -c 4096 --llava-mmproj llava-v1.6-vicuna-7b-mmproj-model-f16.gguf -m llava-v1.6-vicuna-7b

Quantized GGUF Models

NameQuant methodBitsSizeUse case
llava-v1.6-vicuna-7b-Q2_K.ggufQ2_K22.53 GBsmallest, significant quality loss - not recommended for most purposes
llava-v1.6-vicuna-7b-Q3_K_L.ggufQ3KL33.6 GBsmall, substantial quality loss
llava-v1.6-vicuna-7b-Q3_K_M.ggufQ3KM33.3 GBvery small, high quality loss
llava-v1.6-vicuna-7b-Q3_K_S.ggufQ3KS32.95 GBvery small, high quality loss
llava-v1.6-vicuna-7b-Q4_0.ggufQ4_043.83 GBlegacy; small, very high quality loss - prefer using Q3KM
llava-v1.6-vicuna-7b-Q4_K_M.ggufQ4KM44.08 GBmedium, balanced quality - recommended
llava-v1.6-vicuna-7b-Q4_K_S.ggufQ4KS43.86 GBsmall, greater quality loss
llava-v1.6-vicuna-7b-Q5_0.ggufQ5_054.65 GBlegacy; medium, balanced quality - prefer using Q4KM
llava-v1.6-vicuna-7b-Q5_K_M.ggufQ5KM54.78 GBlarge, very low quality loss - recommended
llava-v1.6-vicuna-7b-Q5_K_S.ggufQ5KS54.65 GBlarge, low quality loss - recommended
llava-v1.6-vicuna-7b-Q6_K.ggufQ6_K65.53 GBvery large, extremely low quality loss
llava-v1.6-vicuna-7b-Q8_0.ggufQ8_087.16 GBvery large, extremely low quality loss - not recommended
llava-v1.6-vicuna-7b-mmproj-model-f16.gguff168624 MB

Quantized with llama.cpp b2230