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---
license: cc-by-sa-4.0
language:
- en
pipeline_tag: text-generation
tags:
- code
- TensorBlock
- GGUF
base_model: defog/sqlcoder-7b
---
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## defog/sqlcoder-7b - GGUF
This repo contains GGUF format model files for [defog/sqlcoder-7b](https://huggingface.co/defog/sqlcoder-7b).
The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b5165](https://github.com/ggml-org/llama.cpp/commit/1d735c0b4fa0551c51c2f4ac888dd9a01f447985).
## Our projects
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<th style="font-size: 25px;">Awesome MCP Servers</th>
<th style="font-size: 25px;">TensorBlock Studio</th>
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<th><img src="https://imgur.com/2Xov7B7.jpeg" alt="Project A" width="450"/></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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<th>
<a href="https://github.com/TensorBlock/awesome-mcp-servers" target="_blank" style="
display: inline-block;
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background-color: #FF7F50;
color: white;
text-decoration: none;
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font-weight: bold;
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">πŸ‘€ See what we built πŸ‘€</a>
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<a href="https://github.com/TensorBlock/TensorBlock-Studio" target="_blank" style="
display: inline-block;
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color: white;
text-decoration: none;
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">πŸ‘€ See what we built πŸ‘€</a>
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## Prompt template
```
Unable to determine prompt format automatically. Please check the original model repository for the correct prompt format.
```
## Model file specification
| Filename | Quant type | File Size | Description |
| -------- | ---------- | --------- | ----------- |
| [sqlcoder-7b-Q2_K.gguf](https://huggingface.co/tensorblock/defog_sqlcoder-7b-GGUF/blob/main/sqlcoder-7b-Q2_K.gguf) | Q2_K | 2.719 GB | smallest, significant quality loss - not recommended for most purposes |
| [sqlcoder-7b-Q3_K_S.gguf](https://huggingface.co/tensorblock/defog_sqlcoder-7b-GGUF/blob/main/sqlcoder-7b-Q3_K_S.gguf) | Q3_K_S | 3.165 GB | very small, high quality loss |
| [sqlcoder-7b-Q3_K_M.gguf](https://huggingface.co/tensorblock/defog_sqlcoder-7b-GGUF/blob/main/sqlcoder-7b-Q3_K_M.gguf) | Q3_K_M | 3.519 GB | very small, high quality loss |
| [sqlcoder-7b-Q3_K_L.gguf](https://huggingface.co/tensorblock/defog_sqlcoder-7b-GGUF/blob/main/sqlcoder-7b-Q3_K_L.gguf) | Q3_K_L | 3.822 GB | small, substantial quality loss |
| [sqlcoder-7b-Q4_0.gguf](https://huggingface.co/tensorblock/defog_sqlcoder-7b-GGUF/blob/main/sqlcoder-7b-Q4_0.gguf) | Q4_0 | 4.109 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| [sqlcoder-7b-Q4_K_S.gguf](https://huggingface.co/tensorblock/defog_sqlcoder-7b-GGUF/blob/main/sqlcoder-7b-Q4_K_S.gguf) | Q4_K_S | 4.140 GB | small, greater quality loss |
| [sqlcoder-7b-Q4_K_M.gguf](https://huggingface.co/tensorblock/defog_sqlcoder-7b-GGUF/blob/main/sqlcoder-7b-Q4_K_M.gguf) | Q4_K_M | 4.368 GB | medium, balanced quality - recommended |
| [sqlcoder-7b-Q5_0.gguf](https://huggingface.co/tensorblock/defog_sqlcoder-7b-GGUF/blob/main/sqlcoder-7b-Q5_0.gguf) | Q5_0 | 4.998 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| [sqlcoder-7b-Q5_K_S.gguf](https://huggingface.co/tensorblock/defog_sqlcoder-7b-GGUF/blob/main/sqlcoder-7b-Q5_K_S.gguf) | Q5_K_S | 4.998 GB | large, low quality loss - recommended |
| [sqlcoder-7b-Q5_K_M.gguf](https://huggingface.co/tensorblock/defog_sqlcoder-7b-GGUF/blob/main/sqlcoder-7b-Q5_K_M.gguf) | Q5_K_M | 5.131 GB | large, very low quality loss - recommended |
| [sqlcoder-7b-Q6_K.gguf](https://huggingface.co/tensorblock/defog_sqlcoder-7b-GGUF/blob/main/sqlcoder-7b-Q6_K.gguf) | Q6_K | 5.942 GB | very large, extremely low quality loss |
| [sqlcoder-7b-Q8_0.gguf](https://huggingface.co/tensorblock/defog_sqlcoder-7b-GGUF/blob/main/sqlcoder-7b-Q8_0.gguf) | Q8_0 | 7.696 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/defog_sqlcoder-7b-GGUF --include "sqlcoder-7b-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/defog_sqlcoder-7b-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
```