metadata
base_model: liuhaotian/llava-v1.6-vicuna-7b
inference: false
library_name: transformers
license: llama2
model_creator: liuhaotian
model_name: Llava v1.6 Vicuna 7B
pipeline_tag: text-generation
quantized_by: Second State Inc.
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-llavaPrompt string
<system_prompt>\nUSER:<image_embeddings>\n<textual_prompt>\nASSISTANT:
Context size:
4096Run as LlamaEdge service
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
| Name | Quant method | Bits | Size | Use case |
|---|---|---|---|---|
| llava-v1.6-vicuna-7b-Q2_K.gguf | Q2_K | 2 | 2.53 GB | smallest, significant quality loss - not recommended for most purposes |
| llava-v1.6-vicuna-7b-Q3_K_L.gguf | Q3_K_L | 3 | 3.6 GB | small, substantial quality loss |
| llava-v1.6-vicuna-7b-Q3_K_M.gguf | Q3_K_M | 3 | 3.3 GB | very small, high quality loss |
| llava-v1.6-vicuna-7b-Q3_K_S.gguf | Q3_K_S | 3 | 2.95 GB | very small, high quality loss |
| llava-v1.6-vicuna-7b-Q4_0.gguf | Q4_0 | 4 | 3.83 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| llava-v1.6-vicuna-7b-Q4_K_M.gguf | Q4_K_M | 4 | 4.08 GB | medium, balanced quality - recommended |
| llava-v1.6-vicuna-7b-Q4_K_S.gguf | Q4_K_S | 4 | 3.86 GB | small, greater quality loss |
| llava-v1.6-vicuna-7b-Q5_0.gguf | Q5_0 | 5 | 4.65 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| llava-v1.6-vicuna-7b-Q5_K_M.gguf | Q5_K_M | 5 | 4.78 GB | large, very low quality loss - recommended |
| llava-v1.6-vicuna-7b-Q5_K_S.gguf | Q5_K_S | 5 | 4.65 GB | large, low quality loss - recommended |
| llava-v1.6-vicuna-7b-Q6_K.gguf | Q6_K | 6 | 5.53 GB | very large, extremely low quality loss |
| llava-v1.6-vicuna-7b-Q8_0.gguf | Q8_0 | 8 | 7.16 GB | very large, extremely low quality loss - not recommended |
| llava-v1.6-vicuna-7b-mmproj-model-f16.gguf | f16 | 8 | 624 MB |
Quantized with llama.cpp b2230