README.md

---
license: other
license_name: qwen-research
license_link: https://huggingface.co/Qwen/Qwen2.5-3B/blob/main/LICENSE
language:
- fr
- en
pipeline_tag: text-generation
tags:
- chat
- qwen
- qwen2.5
- finetune
- french
- english
- TensorBlock
- GGUF
library_name: transformers
inference: false
model_creator: MaziyarPanahi
quantized_by: MaziyarPanahi
base_model: MaziyarPanahi/calme-3.1-baguette-3b
model_name: calme-3.1-baguette-3b
datasets:
- MaziyarPanahi/french_instruct_sharegpt
- MaziyarPanahi/calme-legalkit-v0.2
---

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## MaziyarPanahi/calme-3.1-baguette-3b - GGUF

This repo contains GGUF format model files for [MaziyarPanahi/calme-3.1-baguette-3b](https://huggingface.co/MaziyarPanahi/calme-3.1-baguette-3b).

The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4011](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).

<div style="text-align: left; margin: 20px 0;">
    <a href="https://tensorblock.co/waitlist/client" style="display: inline-block; padding: 10px 20px; background-color: #007bff; color: white; text-decoration: none; border-radius: 5px; font-weight: bold;">
        Run them on the TensorBlock client using your local machine ↗
    </a>
</div>

## Prompt template

```
<|im_start|>system
{system_prompt}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant
```

## Model file specification

| Filename | Quant type | File Size | Description |
| -------- | ---------- | --------- | ----------- |
| [calme-3.1-baguette-3b-Q2_K.gguf](https://huggingface.co/tensorblock/calme-3.1-baguette-3b-GGUF/blob/main/calme-3.1-baguette-3b-Q2_K.gguf) | Q2_K | 1.274 GB | smallest, significant quality loss - not recommended for most purposes |
| [calme-3.1-baguette-3b-Q3_K_S.gguf](https://huggingface.co/tensorblock/calme-3.1-baguette-3b-GGUF/blob/main/calme-3.1-baguette-3b-Q3_K_S.gguf) | Q3_K_S | 1.454 GB | very small, high quality loss |
| [calme-3.1-baguette-3b-Q3_K_M.gguf](https://huggingface.co/tensorblock/calme-3.1-baguette-3b-GGUF/blob/main/calme-3.1-baguette-3b-Q3_K_M.gguf) | Q3_K_M | 1.590 GB | very small, high quality loss |
| [calme-3.1-baguette-3b-Q3_K_L.gguf](https://huggingface.co/tensorblock/calme-3.1-baguette-3b-GGUF/blob/main/calme-3.1-baguette-3b-Q3_K_L.gguf) | Q3_K_L | 1.707 GB | small, substantial quality loss |
| [calme-3.1-baguette-3b-Q4_0.gguf](https://huggingface.co/tensorblock/calme-3.1-baguette-3b-GGUF/blob/main/calme-3.1-baguette-3b-Q4_0.gguf) | Q4_0 | 1.822 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| [calme-3.1-baguette-3b-Q4_K_S.gguf](https://huggingface.co/tensorblock/calme-3.1-baguette-3b-GGUF/blob/main/calme-3.1-baguette-3b-Q4_K_S.gguf) | Q4_K_S | 1.834 GB | small, greater quality loss |
| [calme-3.1-baguette-3b-Q4_K_M.gguf](https://huggingface.co/tensorblock/calme-3.1-baguette-3b-GGUF/blob/main/calme-3.1-baguette-3b-Q4_K_M.gguf) | Q4_K_M | 1.929 GB | medium, balanced quality - recommended |
| [calme-3.1-baguette-3b-Q5_0.gguf](https://huggingface.co/tensorblock/calme-3.1-baguette-3b-GGUF/blob/main/calme-3.1-baguette-3b-Q5_0.gguf) | Q5_0 | 2.169 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| [calme-3.1-baguette-3b-Q5_K_S.gguf](https://huggingface.co/tensorblock/calme-3.1-baguette-3b-GGUF/blob/main/calme-3.1-baguette-3b-Q5_K_S.gguf) | Q5_K_S | 2.169 GB | large, low quality loss - recommended |
| [calme-3.1-baguette-3b-Q5_K_M.gguf](https://huggingface.co/tensorblock/calme-3.1-baguette-3b-GGUF/blob/main/calme-3.1-baguette-3b-Q5_K_M.gguf) | Q5_K_M | 2.224 GB | large, very low quality loss - recommended |
| [calme-3.1-baguette-3b-Q6_K.gguf](https://huggingface.co/tensorblock/calme-3.1-baguette-3b-GGUF/blob/main/calme-3.1-baguette-3b-Q6_K.gguf) | Q6_K | 2.538 GB | very large, extremely low quality loss |
| [calme-3.1-baguette-3b-Q8_0.gguf](https://huggingface.co/tensorblock/calme-3.1-baguette-3b-GGUF/blob/main/calme-3.1-baguette-3b-Q8_0.gguf) | Q8_0 | 3.285 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/calme-3.1-baguette-3b-GGUF --include "calme-3.1-baguette-3b-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/calme-3.1-baguette-3b-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
```