metadata

base_model: liuhaotian/llava-v1.5-7b
inference: false
library_name: transformers
license: llama2
model_creator: liuhaotian
model_name: Llava v1.5 7B
quantized_by: Second State Inc.

Llava-v1.5-7B-GGUF

Original Model

liuhaotian/llava-v1.5-7b

Run with LlamaEdge

LlamaEdge version: comming soon

Prompt template

Prompt type: vicuna-llava

Prompt string

<system_prompt>\nUSER:<image_embeddings>\n<textual_prompt>\nASSISTANT:

Context size: 4096

Run as LlamaEdge service

wasmedge --dir .:. \
  --nn-preload default:GGML:AUTO:llava-v1.5-7b-Q5_K_M.gguf \
  llama-api-server.wasm \
  --prompt-template vicuna-llava \
  --ctx-size 4096 \
  --llava-mmproj llava-v1.5-7b-mmproj-model-f16.gguf \
  --model-name llava-v1.5

Quantized GGUF Models

Name	Quant method	Bits	Size	Use case
llava-v1.5-7b-Q2_K.gguf	Q2_K	2	2.53 GB	smallest, significant quality loss - not recommended for most purposes
llava-v1.5-7b-Q3_K_L.gguf	Q3_K_L	3	3.6 GB	small, substantial quality loss
llava-v1.5-7b-Q3_K_M.gguf	Q3_K_M	3	3.3 GB	very small, high quality loss
llava-v1.5-7b-Q3_K_S.gguf	Q3_K_S	3	2.95 GB	very small, high quality loss
llava-v1.5-7b-Q4_0.gguf	Q4_0	4	3.83 GB	legacy; small, very high quality loss - prefer using Q3_K_M
llava-v1.5-7b-Q4_K_M.gguf	Q4_K_M	4	4.08 GB	medium, balanced quality - recommended
llava-v1.5-7b-Q4_K_S.gguf	Q4_K_S	4	3.86 GB	small, greater quality loss
llava-v1.5-7b-Q5_0.gguf	Q5_0	5	4.65 GB	legacy; medium, balanced quality - prefer using Q4_K_M
llava-v1.5-7b-Q5_K_M.gguf	Q5_K_M	5	4.78 GB	large, very low quality loss - recommended
llava-v1.5-7b-Q5_K_S.gguf	Q5_K_S	5	4.65 GB	large, low quality loss - recommended
llava-v1.5-7b-Q6_K.gguf	Q6_K	6	5.53 GB	very large, extremely low quality loss
llava-v1.5-7b-Q8_0.gguf	Q8_0	8	7.16 GB	very large, extremely low quality loss - not recommended
llava-v1.5-7b-mmproj-model-f16.gguf	f16	8	624 MB

Quantized with llama.cpp b2230