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---
base_model: AlSamCur123/Mistral-Small-InstructContinuedFine
tags:
- text-generation-inference
- transformers
- unsloth
- mistral
- trl
- sft
- TensorBlock
- GGUF
license: apache-2.0
language:
- en
---
<div style="width: auto; margin-left: auto; margin-right: auto">
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[](https://github.com/TensorBlock)
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## AlSamCur123/Mistral-Small-InstructContinuedFine - GGUF
This repo contains GGUF format model files for [AlSamCur123/Mistral-Small-InstructContinuedFine](https://huggingface.co/AlSamCur123/Mistral-Small-InstructContinuedFine).
The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4242](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).
## Our projects
<table border="1" cellspacing="0" cellpadding="10">
<tr>
<th colspan="2" style="font-size: 25px;">Forge</th>
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<img src="https://imgur.com/faI5UKh.jpeg" alt="Forge Project" width="900"/>
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<th colspan="2">An OpenAI-compatible multi-provider routing layer.</th>
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<a href="https://github.com/TensorBlock/forge" target="_blank" style="
display: inline-block;
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<th style="font-size: 25px;">Awesome MCP Servers</th>
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<th>A comprehensive collection of Model Context Protocol (MCP) servers.</th>
<th>A lightweight, open, and extensible multi-LLM interaction studio.</th>
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text-decoration: none;
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font-weight: bold;
font-family: sans-serif;
">π See what we built π</a>
</th>
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<a href="https://github.com/TensorBlock/TensorBlock-Studio" target="_blank" style="
display: inline-block;
padding: 8px 16px;
background-color: #FF7F50;
color: white;
text-decoration: none;
border-radius: 6px;
font-weight: bold;
font-family: sans-serif;
">π See what we built π</a>
</th>
</tr>
</table>
## Prompt template
```
<s>[INST] {system_prompt}
{prompt}[/INST]
```
## Model file specification
| Filename | Quant type | File Size | Description |
| -------- | ---------- | --------- | ----------- |
| [Mistral-Small-InstructContinuedFine-Q2_K.gguf](https://huggingface.co/tensorblock/Mistral-Small-InstructContinuedFine-GGUF/blob/main/Mistral-Small-InstructContinuedFine-Q2_K.gguf) | Q2_K | 8.272 GB | smallest, significant quality loss - not recommended for most purposes |
| [Mistral-Small-InstructContinuedFine-Q3_K_S.gguf](https://huggingface.co/tensorblock/Mistral-Small-InstructContinuedFine-GGUF/blob/main/Mistral-Small-InstructContinuedFine-Q3_K_S.gguf) | Q3_K_S | 9.641 GB | very small, high quality loss |
| [Mistral-Small-InstructContinuedFine-Q3_K_M.gguf](https://huggingface.co/tensorblock/Mistral-Small-InstructContinuedFine-GGUF/blob/main/Mistral-Small-InstructContinuedFine-Q3_K_M.gguf) | Q3_K_M | 10.757 GB | very small, high quality loss |
| [Mistral-Small-InstructContinuedFine-Q3_K_L.gguf](https://huggingface.co/tensorblock/Mistral-Small-InstructContinuedFine-GGUF/blob/main/Mistral-Small-InstructContinuedFine-Q3_K_L.gguf) | Q3_K_L | 11.730 GB | small, substantial quality loss |
| [Mistral-Small-InstructContinuedFine-Q4_0.gguf](https://huggingface.co/tensorblock/Mistral-Small-InstructContinuedFine-GGUF/blob/main/Mistral-Small-InstructContinuedFine-Q4_0.gguf) | Q4_0 | 12.569 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| [Mistral-Small-InstructContinuedFine-Q4_K_S.gguf](https://huggingface.co/tensorblock/Mistral-Small-InstructContinuedFine-GGUF/blob/main/Mistral-Small-InstructContinuedFine-Q4_K_S.gguf) | Q4_K_S | 12.660 GB | small, greater quality loss |
| [Mistral-Small-InstructContinuedFine-Q4_K_M.gguf](https://huggingface.co/tensorblock/Mistral-Small-InstructContinuedFine-GGUF/blob/main/Mistral-Small-InstructContinuedFine-Q4_K_M.gguf) | Q4_K_M | 13.341 GB | medium, balanced quality - recommended |
| [Mistral-Small-InstructContinuedFine-Q5_0.gguf](https://huggingface.co/tensorblock/Mistral-Small-InstructContinuedFine-GGUF/blob/main/Mistral-Small-InstructContinuedFine-Q5_0.gguf) | Q5_0 | 15.325 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| [Mistral-Small-InstructContinuedFine-Q5_K_S.gguf](https://huggingface.co/tensorblock/Mistral-Small-InstructContinuedFine-GGUF/blob/main/Mistral-Small-InstructContinuedFine-Q5_K_S.gguf) | Q5_K_S | 15.325 GB | large, low quality loss - recommended |
| [Mistral-Small-InstructContinuedFine-Q5_K_M.gguf](https://huggingface.co/tensorblock/Mistral-Small-InstructContinuedFine-GGUF/blob/main/Mistral-Small-InstructContinuedFine-Q5_K_M.gguf) | Q5_K_M | 15.723 GB | large, very low quality loss - recommended |
| [Mistral-Small-InstructContinuedFine-Q6_K.gguf](https://huggingface.co/tensorblock/Mistral-Small-InstructContinuedFine-GGUF/blob/main/Mistral-Small-InstructContinuedFine-Q6_K.gguf) | Q6_K | 18.253 GB | very large, extremely low quality loss |
| [Mistral-Small-InstructContinuedFine-Q8_0.gguf](https://huggingface.co/tensorblock/Mistral-Small-InstructContinuedFine-GGUF/blob/main/Mistral-Small-InstructContinuedFine-Q8_0.gguf) | Q8_0 | 23.641 GB | very large, extremely low quality loss - not recommended |
## Downloading instruction
### Command line
Firstly, install Huggingface Client
```shell
pip install -U "huggingface_hub[cli]"
```
Then, downoad the individual model file the a local directory
```shell
huggingface-cli download tensorblock/Mistral-Small-InstructContinuedFine-GGUF --include "Mistral-Small-InstructContinuedFine-Q2_K.gguf" --local-dir MY_LOCAL_DIR
```
If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try:
```shell
huggingface-cli download tensorblock/Mistral-Small-InstructContinuedFine-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
```
|