README.md

---
language:
- en
pipeline_tag: text-generation
tags:
- code
- TensorBlock
- GGUF
license: apache-2.0
base_model: m-a-p/OpenCodeInterpreter-DS-6.7B
---

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## m-a-p/OpenCodeInterpreter-DS-6.7B - GGUF

This repo contains GGUF format model files for [m-a-p/OpenCodeInterpreter-DS-6.7B](https://huggingface.co/m-a-p/OpenCodeInterpreter-DS-6.7B).

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).


## Our projects
<table border="1" cellspacing="0" cellpadding="10">
  <tr>
    <th colspan="2" style="font-size: 25px;">Forge</th>
  </tr>
  <tr>
    <th colspan="2">
      <img src="https://imgur.com/faI5UKh.jpeg" alt="Forge Project" width="900"/>
    </th>
  </tr>
  <tr>
    <th colspan="2">An OpenAI-compatible multi-provider routing layer.</th>
  </tr>
  <tr>
    <th colspan="2">
      <a href="https://github.com/TensorBlock/forge" 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;
      ">🚀 Try it now! 🚀</a>
    </th>
  </tr>

  <tr>
    <th style="font-size: 25px;">Awesome MCP Servers</th>
    <th style="font-size: 25px;">TensorBlock Studio</th>
  </tr>
  <tr>
    <th><img src="https://imgur.com/2Xov7B7.jpeg" alt="MCP Servers" width="450"/></th>
    <th><img src="https://imgur.com/pJcmF5u.jpeg" alt="Studio" width="450"/></th>
  </tr>
  <tr>
    <th>A comprehensive collection of Model Context Protocol (MCP) servers.</th>
    <th>A lightweight, open, and extensible multi-LLM interaction studio.</th>
  </tr>
  <tr>
    <th>
      <a href="https://github.com/TensorBlock/awesome-mcp-servers" 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;
      ">👀 See what we built 👀</a>
    </th>
    <th>
      <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;
      ">👀 See what we built 👀</a>
    </th>
  </tr>
</table>
## Prompt template


```
You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer.
{system_prompt}### Instruction:
{prompt}
### Response:
```

## Model file specification

| Filename | Quant type | File Size | Description |
| -------- | ---------- | --------- | ----------- |
| [OpenCodeInterpreter-DS-6.7B-Q2_K.gguf](https://huggingface.co/tensorblock/OpenCodeInterpreter-DS-6.7B-GGUF/blob/main/OpenCodeInterpreter-DS-6.7B-Q2_K.gguf) | Q2_K | 2.360 GB | smallest, significant quality loss - not recommended for most purposes |
| [OpenCodeInterpreter-DS-6.7B-Q3_K_S.gguf](https://huggingface.co/tensorblock/OpenCodeInterpreter-DS-6.7B-GGUF/blob/main/OpenCodeInterpreter-DS-6.7B-Q3_K_S.gguf) | Q3_K_S | 2.747 GB | very small, high quality loss |
| [OpenCodeInterpreter-DS-6.7B-Q3_K_M.gguf](https://huggingface.co/tensorblock/OpenCodeInterpreter-DS-6.7B-GGUF/blob/main/OpenCodeInterpreter-DS-6.7B-Q3_K_M.gguf) | Q3_K_M | 3.073 GB | very small, high quality loss |
| [OpenCodeInterpreter-DS-6.7B-Q3_K_L.gguf](https://huggingface.co/tensorblock/OpenCodeInterpreter-DS-6.7B-GGUF/blob/main/OpenCodeInterpreter-DS-6.7B-Q3_K_L.gguf) | Q3_K_L | 3.352 GB | small, substantial quality loss |
| [OpenCodeInterpreter-DS-6.7B-Q4_0.gguf](https://huggingface.co/tensorblock/OpenCodeInterpreter-DS-6.7B-GGUF/blob/main/OpenCodeInterpreter-DS-6.7B-Q4_0.gguf) | Q4_0 | 3.565 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| [OpenCodeInterpreter-DS-6.7B-Q4_K_S.gguf](https://huggingface.co/tensorblock/OpenCodeInterpreter-DS-6.7B-GGUF/blob/main/OpenCodeInterpreter-DS-6.7B-Q4_K_S.gguf) | Q4_K_S | 3.594 GB | small, greater quality loss |
| [OpenCodeInterpreter-DS-6.7B-Q4_K_M.gguf](https://huggingface.co/tensorblock/OpenCodeInterpreter-DS-6.7B-GGUF/blob/main/OpenCodeInterpreter-DS-6.7B-Q4_K_M.gguf) | Q4_K_M | 3.802 GB | medium, balanced quality - recommended |
| [OpenCodeInterpreter-DS-6.7B-Q5_0.gguf](https://huggingface.co/tensorblock/OpenCodeInterpreter-DS-6.7B-GGUF/blob/main/OpenCodeInterpreter-DS-6.7B-Q5_0.gguf) | Q5_0 | 4.334 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| [OpenCodeInterpreter-DS-6.7B-Q5_K_S.gguf](https://huggingface.co/tensorblock/OpenCodeInterpreter-DS-6.7B-GGUF/blob/main/OpenCodeInterpreter-DS-6.7B-Q5_K_S.gguf) | Q5_K_S | 4.334 GB | large, low quality loss - recommended |
| [OpenCodeInterpreter-DS-6.7B-Q5_K_M.gguf](https://huggingface.co/tensorblock/OpenCodeInterpreter-DS-6.7B-GGUF/blob/main/OpenCodeInterpreter-DS-6.7B-Q5_K_M.gguf) | Q5_K_M | 4.457 GB | large, very low quality loss - recommended |
| [OpenCodeInterpreter-DS-6.7B-Q6_K.gguf](https://huggingface.co/tensorblock/OpenCodeInterpreter-DS-6.7B-GGUF/blob/main/OpenCodeInterpreter-DS-6.7B-Q6_K.gguf) | Q6_K | 5.151 GB | very large, extremely low quality loss |
| [OpenCodeInterpreter-DS-6.7B-Q8_0.gguf](https://huggingface.co/tensorblock/OpenCodeInterpreter-DS-6.7B-GGUF/blob/main/OpenCodeInterpreter-DS-6.7B-Q8_0.gguf) | Q8_0 | 6.672 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/OpenCodeInterpreter-DS-6.7B-GGUF --include "OpenCodeInterpreter-DS-6.7B-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/OpenCodeInterpreter-DS-6.7B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
```