|
--- |
|
base_model: mistralai/Mistral-7B-Instruct-v0.1 |
|
inference: false |
|
license: apache-2.0 |
|
model_creator: Mistral AI |
|
model_name: Mistral 7B Instruct v0.1 |
|
model_type: mistral |
|
pipeline_tag: text-generation |
|
tags: |
|
- finetuned |
|
quantized_by: Second State Inc. |
|
--- |
|
|
|
<!-- header start --> |
|
<!-- 200823 --> |
|
<div style="width: auto; margin-left: auto; margin-right: auto"> |
|
<img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;"> |
|
</div> |
|
<hr style="margin-top: 1.0em; margin-bottom: 1.0em;"> |
|
<!-- header end --> |
|
|
|
# Mistral-7B-Instruct-v0.1-GGUF |
|
|
|
## Original Model |
|
|
|
[mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) |
|
|
|
## Run with LlamaEdge |
|
|
|
- LlamaEdge version: [v0.2.8](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.2.8) and above |
|
|
|
- Prompt template |
|
|
|
- Prompt type: `mistral-instruct` |
|
|
|
- Prompt string |
|
|
|
```text |
|
<s>[INST] {prompt} [/INST] |
|
``` |
|
|
|
- Context size: `4096` |
|
|
|
- Run as LlamaEdge service |
|
|
|
```bash |
|
wasmedge --dir .:. --nn-preload default:GGML:AUTO:Mistral-7B-Instruct-v0.1-Q5_K_M.gguf llama-api-server.wasm -p mistral-instruct |
|
``` |
|
|
|
- Run as LlamaEdge command app |
|
|
|
```bash |
|
wasmedge --dir .:. --nn-preload default:GGML:AUTO:Mistral-7B-Instruct-v0.1-Q5_K_M.gguf llama-chat.wasm -p mistral-instruct |
|
``` |
|
|
|
## Quantized GGUF Models |
|
|
|
| Name | Quant method | Bits | Size | Use case | |
|
| ---- | ---- | ---- | ---- | ----- | |
|
| [Mistral-7B-Instruct-v0.1-Q2_K.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.1-GGUF/blob/main/Mistral-7B-Instruct-v0.1-Q2_K.gguf) | Q2_K | 2 | 2.7 GB| smallest, significant quality loss - not recommended for most purposes | |
|
| [Mistral-7B-Instruct-v0.1-Q3_K_L.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.1-GGUF/blob/main/Mistral-7B-Instruct-v0.1-Q3_K_L.gguf) | Q3_K_L | 3 | 3.82 GB| small, substantial quality loss | |
|
| [Mistral-7B-Instruct-v0.1-Q3_K_M.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.1-GGUF/blob/main/Mistral-7B-Instruct-v0.1-Q3_K_M.gguf) | Q3_K_M | 3 | 3.52 GB| very small, high quality loss | |
|
| [Mistral-7B-Instruct-v0.1-Q3_K_S.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.1-GGUF/blob/main/Mistral-7B-Instruct-v0.1-Q3_K_S.gguf) | Q3_K_S | 3 | 3.16 GB| very small, high quality loss | |
|
| [Mistral-7B-Instruct-v0.1-Q4_0.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.1-GGUF/blob/main/Mistral-7B-Instruct-v0.1-Q4_0.gguf) | Q4_0 | 4 | 4.11 GB| legacy; small, very high quality loss - prefer using Q3_K_M | |
|
| [Mistral-7B-Instruct-v0.1-Q4_K_M.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.1-GGUF/blob/main/Mistral-7B-Instruct-v0.1-Q4_K_M.gguf) | Q4_K_M | 4 | 4.37 GB| medium, balanced quality - recommended | |
|
| [Mistral-7B-Instruct-v0.1-Q4_K_S.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.1-GGUF/blob/main/Mistral-7B-Instruct-v0.1-Q4_K_S.gguf) | Q4_K_S | 4 | 4.14 GB| small, greater quality loss | |
|
| [Mistral-7B-Instruct-v0.1-Q5_0.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.1-GGUF/blob/main/Mistral-7B-Instruct-v0.1-Q5_0.gguf) | Q5_0 | 5 | 5 GB| legacy; medium, balanced quality - prefer using Q4_K_M | |
|
| [Mistral-7B-Instruct-v0.1-Q5_K_M.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.1-GGUF/blob/main/Mistral-7B-Instruct-v0.1-Q5_K_M.gguf) | Q5_K_M | 5 | 5.13 GB| large, very low quality loss - recommended | |
|
| [Mistral-7B-Instruct-v0.1-Q5_K_S.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.1-GGUF/blob/main/Mistral-7B-Instruct-v0.1-Q5_K_S.gguf) | Q5_K_S | 5 | 5 GB| large, low quality loss - recommended | |
|
| [Mistral-7B-Instruct-v0.1-Q6_K.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.1-GGUF/blob/main/Mistral-7B-Instruct-v0.1-Q6_K.gguf) | Q6_K | 6 | 5.94 GB| very large, extremely low quality loss | |
|
| [Mistral-7B-Instruct-v0.1-Q8_0.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.1-GGUF/blob/main/Mistral-7B-Instruct-v0.1-Q8_0.gguf) | Q8_0 | 8 | 7.7 GB| very large, extremely low quality loss - not recommended | |
|
|
