---
title: DeepSeek-Coder-V2-Instruct-GGUF
canonical_url: "https://www.modelscope.cn/models/second-state/DeepSeek-Coder-V2-Instruct-GGUF"
md_url: "https://www.modelscope.cn/models/second-state/DeepSeek-Coder-V2-Instruct-GGUF.md"
repository: second-state/DeepSeek-Coder-V2-Instruct-GGUF
last_updated: 2024-10-30
model_type:
  - deepseek_v2
architectures:
  - DeepseekV2ForCausalLM
library_name:
  - gguf
  - pytorch
frameworks:
  - pytorch
inference_backends:
  - "deploy_task text/emb"
  - "lmdeploy 0.9.1"
  - "lmdeploy_turbomind 0.9.1"
  - "sglang 0.5.2"
  - "vllm 0.9.2"
downloads: 7771
stars: 2
tags:
  - gguf
---

# DeepSeek-Coder-V2-Instruct-GGUF

> DeepSeek-Coder-V2-Instruct-GGUF - second-state 在 ModelScope 开源的模型。DeepSeek-Coder-V2-Instruct-GGUF Original Model deepseek-ai/DeepSeek-Coder-V2-Instruct Run with LlamaEdge LlamaEdge version: v0.12.3 and above Prompt template Prompt type: deepseek-chat-2…

second-state/DeepSeek-Coder-V2-Instruct-GGUF 是 ModelScope 魔搭社区上的机器学习模型，可用 deploy_task text/emb、lmdeploy 0.9.1、lmdeploy_turbomind 0.9.1 部署。

- **Repository**: second-state/DeepSeek-Coder-V2-Instruct-GGUF
- **Inference backends**: deploy_task text/emb, lmdeploy 0.9.1, lmdeploy_turbomind 0.9.1, sglang 0.5.2, vllm 0.9.2
- **Tags**: gguf
- **Downloads**: 7771
- **Stars**: 2
- **Last updated**: 2024-10-30

Source: https://www.modelscope.cn/models/second-state/DeepSeek-Coder-V2-Instruct-GGUF

---

<!-- 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 -->

# DeepSeek-Coder-V2-Instruct-GGUF

## Original Model

[deepseek-ai/DeepSeek-Coder-V2-Instruct](https://huggingface.co/deepseek-ai/DeepSeek-Coder-V2-Instruct)

## Run with LlamaEdge

- LlamaEdge version: [v0.12.3](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.12.3) and above

- Prompt template

  - Prompt type: `deepseek-chat-2`

  - Prompt string

    ```text
    <|begin_of_sentence|>{system_message}

    User: {user_message_1}

    Assistant: {assistant_message_1}<|end_of_sentence|>User: {user_message_2}

    Assistant:
    ```

- Context size: `128000`

- Run as LlamaEdge service

  ```bash
  wasmedge --dir .:. \
    --nn-preload default:GGML:AUTO:DeepSeek-Coder-V2-Instruct-Q5_K_M.gguf \
    llama-api-server.wasm \
    --prompt-template deepseek-chat-2 \
    --ctx-size 128000 \
    --model-name DeepSeek-Coder-V2-Instruct
  ```

- Run as LlamaEdge command app

  ```bash
  wasmedge --dir .:. \
    --nn-preload default:GGML:AUTO:DeepSeek-Coder-V2-Instruct-Q5_K_M.gguf \
    llama-chat.wasm \
    --prompt-template deepseek-chat-2 \
    --ctx-size 128000
  ```

## Quantized GGUF Models

| Name | Quant method | Bits | Size | Use case |
| ---- | ---- | ---- | ---- | ----- |
| [DeepSeek-Coder-V2-Instruct-Q2_K-00001-of-00003.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q2_K-00001-of-00003.gguf)     | Q2_K   | 2 | 29.7 GB| smallest, significant quality loss - not recommended for most purposes |
| [DeepSeek-Coder-V2-Instruct-Q2_K-00002-of-00003.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q2_K-00002-of-00003.gguf)     | Q2_K   | 2 | 29.8 GB| smallest, significant quality loss - not recommended for most purposes |
| [DeepSeek-Coder-V2-Instruct-Q2_K-00002-of-00003.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q2_K-00002-of-00003.gguf)     | Q2_K   | 2 | 26.4 GB| smallest, significant quality loss - not recommended for most purposes |
| [DeepSeek-Coder-V2-Instruct-Q3_K_L-00001-of-00005.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q3_K_L-00001-of-00005.gguf) | Q3_K_L | 3 | 29.8 GB| small, substantial quality loss |
| [DeepSeek-Coder-V2-Instruct-Q3_K_L-00002-of-00005.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q3_K_L-00002-of-00005.gguf) | Q3_K_L | 3 | 29.7 GB| small, substantial quality loss |
| [DeepSeek-Coder-V2-Instruct-Q3_K_L-00003-of-00005.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q3_K_L-00003-of-00005.gguf) | Q3_K_L | 3 | 29.9 GB| small, substantial quality loss |
| [DeepSeek-Coder-V2-Instruct-Q3_K_L-00004-of-00005.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q3_K_L-00004-of-00005.gguf) | Q3_K_L | 3 | 29.8 GB| small, substantial quality loss |
| [DeepSeek-Coder-V2-Instruct-Q3_K_L-00005-of-00005.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q3_K_L-00005-of-00005.gguf) | Q3_K_L | 3 | 3.14 GB| small, substantial quality loss |
| [DeepSeek-Coder-V2-Instruct-Q3_K_M-00001-of-00004.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q3_K_M-00001-of-00004.gguf) | Q3_K_M | 3 | 29.6 GB| very small, high quality loss |
| [DeepSeek-Coder-V2-Instruct-Q3_K_M-00002-of-00004.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q3_K_M-00002-of-00004.gguf) | Q3_K_M | 3 | 29.5 GB| very small, high quality loss |
| [DeepSeek-Coder-V2-Instruct-Q3_K_M-00003-of-00004.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q3_K_M-00003-of-00004.gguf) | Q3_K_M | 3 | 29.8 GB| very small, high quality loss |
| [DeepSeek-Coder-V2-Instruct-Q3_K_M-00004-of-00004.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q3_K_M-00004-of-00004.gguf) | Q3_K_M | 3 | 23.8 GB| very small, high quality loss |
| [DeepSeek-Coder-V2-Instruct-Q3_K_S-00001-of-00004.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q3_K_S-00001-of-00004.gguf) | Q3_K_S | 3 | 29.9 GB| very small, high quality loss |
| [DeepSeek-Coder-V2-Instruct-Q3_K_S-00002-of-00004.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q3_K_S-00002-of-00004.gguf) | Q3_K_S | 3 | 29.7 GB| very small, high quality loss |
| [DeepSeek-Coder-V2-Instruct-Q3_K_S-00003-of-00004.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q3_K_S-00003-of-00004.gguf) | Q3_K_S | 3 | 29.6 GB| very small, high quality loss |
| [DeepSeek-Coder-V2-Instruct-Q3_K_S-00004-of-00004.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q3_K_S-00004-of-00004.gguf) | Q3_K_S | 3 | 12.5 GB| very small, high quality loss |
| [DeepSeek-Coder-V2-Instruct-Q4_0-00001-of-00005.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q4_0-00001-of-00005.gguf)     | Q4_0   | 4 | 30.0 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [DeepSeek-Coder-V2-Instruct-Q4_0-00002-of-00005.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q4_0-00002-of-00005.gguf)     | Q4_0   | 4 | 29.9 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [DeepSeek-Coder-V2-Instruct-Q4_0-00003-of-00005.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q4_0-00003-of-00005.gguf)     | Q4_0   | 4 | 29.8 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [DeepSeek-Coder-V2-Instruct-Q4_0-00004-of-00005.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q4_0-00004-of-00005.gguf)     | Q4_0   | 4 | 29.9 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [DeepSeek-Coder-V2-Instruct-Q4_0-00005-of-00005.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q4_0-00005-of-00005.gguf)     | Q4_0   | 4 | 13.3 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [DeepSeek-Coder-V2-Instruct-Q4_K_M-00001-of-00005.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q4_K_M-00001-of-00005.gguf) | Q4_K_M | 4 | 29.7 GB| medium, balanced quality - recommended |
| [DeepSeek-Coder-V2-Instruct-Q4_K_M-00002-of-00005.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q4_K_M-00002-of-00005.gguf) | Q4_K_M | 4 | 29.7 GB| medium, balanced quality - recommended |
| [DeepSeek-Coder-V2-Instruct-Q4_K_M-00003-of-00005.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q4_K_M-00003-of-00005.gguf) | Q4_K_M | 4 | 29.7 GB| medium, balanced quality - recommended |
| [DeepSeek-Coder-V2-Instruct-Q4_K_M-00004-of-00005.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q4_K_M-00004-of-00005.gguf) | Q4_K_M | 4 | 29.6 GB| medium, balanced quality - recommended |
| [DeepSeek-Coder-V2-Instruct-Q4_K_M-00005-of-00005.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q4_K_M-00005-of-00005.gguf) | Q4_K_M | 4 | 23.8 GB| medium, balanced quality - recommended |
| [DeepSeek-Coder-V2-Instruct-Q4_K_S-00001-of-00005.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q4_K_S-00001-of-00005.gguf) | Q4_K_S | 4 | 29.6 GB| small, greater quality loss |
| [DeepSeek-Coder-V2-Instruct-Q4_K_S-00002-of-00005.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q4_K_S-00002-of-00005.gguf) | Q4_K_S | 4 | 29.8 GB| small, greater quality loss |
| [DeepSeek-Coder-V2-Instruct-Q4_K_S-00003-of-00005.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q4_K_S-00003-of-00005.gguf) | Q4_K_S | 4 | 29.9 GB| small, greater quality loss |
| [DeepSeek-Coder-V2-Instruct-Q4_K_S-00004-of-00005.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q4_K_S-00004-of-00005.gguf) | Q4_K_S | 4 | 29.8 GB| small, greater quality loss |
| [DeepSeek-Coder-V2-Instruct-Q4_K_S-00005-of-00005.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q4_K_S-00005-of-00005.gguf) | Q4_K_S | 4 | 14.8 GB| small, greater quality loss |
| [DeepSeek-Coder-V2-Instruct-Q5_0-00001-of-00006.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q5_0-00001-of-00006.gguf)     | Q5_0   | 5 | 29.4 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
| [DeepSeek-Coder-V2-Instruct-Q5_0-00002-of-00006.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q5_0-00002-of-00006.gguf)     | Q5_0   | 5 | 29.2 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
| [DeepSeek-Coder-V2-Instruct-Q5_0-00003-of-00006.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q5_0-00003-of-00006.gguf)     | Q5_0   | 5 | 30.0 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
| [DeepSeek-Coder-V2-Instruct-Q5_0-00004-of-00006.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q5_0-00004-of-00006.gguf)     | Q5_0   | 5 | 29.2 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
| [DeepSeek-Coder-V2-Instruct-Q5_0-00005-of-00006.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q5_0-00005-of-00006.gguf)     | Q5_0   | 5 | 29.2 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
| [DeepSeek-Coder-V2-Instruct-Q5_0-00006-of-00006.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q5_0-00006-of-00006.gguf)     | Q5_0   | 5 | 15.4 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
| [DeepSeek-Coder-V2-Instruct-Q5_K_M-00001-of-00006.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q5_K_M-00001-of-00006.gguf) | Q5_K_M | 5 | 29.7 GB| large, very low quality loss - recommended |
| [DeepSeek-Coder-V2-Instruct-Q5_K_M-00002-of-00006.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q5_K_M-00002-of-00006.gguf) | Q5_K_M | 5 | 29.7 GB| large, very low quality loss - recommended |
| [DeepSeek-Coder-V2-Instruct-Q5_K_M-00003-of-00006.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q5_K_M-00003-of-00006.gguf) | Q5_K_M | 5 | 29.7 GB| large, very low quality loss - recommended |
| [DeepSeek-Coder-V2-Instruct-Q5_K_M-00004-of-00006.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q5_K_M-00004-of-00006.gguf) | Q5_K_M | 5 | 29.9 GB| large, very low quality loss - recommended |
| [DeepSeek-Coder-V2-Instruct-Q5_K_M-00005-of-00006.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q5_K_M-00005-of-00006.gguf) | Q5_K_M | 5 | 29.9 GB| large, very low quality loss - recommended |
| [DeepSeek-Coder-V2-Instruct-Q5_K_M-00006-of-00006.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q5_K_M-00006-of-00006.gguf) | Q5_K_M | 5 | 18.3 GB| large, very low quality loss - recommended |
| [DeepSeek-Coder-V2-Instruct-Q5_K_S-00001-of-00006.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q5_K_S-00001-of-00006.gguf) | Q5_K_S | 5 | 29.4 GB| large, low quality loss - recommended |
| [DeepSeek-Coder-V2-Instruct-Q5_K_S-00002-of-00006.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q5_K_S-00002-of-00006.gguf) | Q5_K_S | 5 | 29.2 GB| large, low quality loss - recommended |
| [DeepSeek-Coder-V2-Instruct-Q5_K_S-00003-of-00006.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q5_K_S-00003-of-00006.gguf) | Q5_K_S | 5 | 30.0 GB| large, low quality loss - recommended |
| [DeepSeek-Coder-V2-Instruct-Q5_K_S-00004-of-00006.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q5_K_S-00004-of-00006.gguf) | Q5_K_S | 5 | 29.2 GB| large, low quality loss - recommended |
| [DeepSeek-Coder-V2-Instruct-Q5_K_S-00005-of-00006.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q5_K_S-00005-of-00006.gguf) | Q5_K_S | 5 | 29.2 GB| large, low quality loss - recommended |
| [DeepSeek-Coder-V2-Instruct-Q5_K_S-00006-of-00006.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q5_K_S-00006-of-00006.gguf) | Q5_K_S | 5 | 15.4 GB| large, low quality loss - recommended |
| [DeepSeek-Coder-V2-Instruct-Q6_K-00001-of-00007.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q6_K-00001-of-00007.gguf)     | Q6_K   | 6 | 29.6 GB| very large, extremely low quality loss |
| [DeepSeek-Coder-V2-Instruct-Q6_K-00002-of-00007.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q6_K-00002-of-00007.gguf)     | Q6_K   | 6 | 29.0 GB| very large, extremely low quality loss |
| [DeepSeek-Coder-V2-Instruct-Q6_K-00003-of-00007.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q6_K-00003-of-00007.gguf)     | Q6_K   | 6 | 29.5 GB| very large, extremely low quality loss |
| [DeepSeek-Coder-V2-Instruct-Q6_K-00004-of-00007.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q6_K-00004-of-00007.gguf)     | Q6_K   | 6 | 29.3 GB| very large, extremely low quality loss |
| [DeepSeek-Coder-V2-Instruct-Q6_K-00005-of-00007.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q6_K-00005-of-00007.gguf)     | Q6_K   | 6 | 29.3 GB| very large, extremely low quality loss |
| [DeepSeek-Coder-V2-Instruct-Q6_K-00006-of-00007.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q6_K-00006-of-00007.gguf)     | Q6_K   | 6 | 29.3 GB| very large, extremely low quality loss |
| [DeepSeek-Coder-V2-Instruct-Q6_K-00007-of-00007.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q6_K-00007-of-00007.gguf)     | Q6_K   | 6 | 17.3 GB| very large, extremely low quality loss |
| [DeepSeek-Coder-V2-Instruct-Q8_0-00001-of-00009.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q8_0-00001-of-00009.gguf)     | Q8_0   | 8 | 29.7 GB| very large, extremely low quality loss - not recommended |
| [DeepSeek-Coder-V2-Instruct-Q8_0-00002-of-00009.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q8_0-00002-of-00009.gguf)     | Q8_0   | 8 | 29.6 GB| very large, extremely low quality loss - not recommended |
| [DeepSeek-Coder-V2-Instruct-Q8_0-00003-of-00009.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q8_0-00003-of-00009.gguf)     | Q8_0   | 8 | 29.6 GB| very large, extremely low quality loss - not recommended |
| [DeepSeek-Coder-V2-Instruct-Q8_0-00004-of-00009.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q8_0-00004-of-00009.gguf)     | Q8_0   | 8 | 29.6 GB| very large, extremely low quality loss - not recommended |
| [DeepSeek-Coder-V2-Instruct-Q8_0-00005-of-00009.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q8_0-00005-of-00009.gguf)     | Q8_0   | 8 | 29.6 GB| very large, extremely low quality loss - not recommended |
| [DeepSeek-Coder-V2-Instruct-Q8_0-00006-of-00009.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q8_0-00006-of-00009.gguf)     | Q8_0   | 8 | 29.6 GB| very large, extremely low quality loss - not recommended |
| [DeepSeek-Coder-V2-Instruct-Q8_0-00007-of-00009.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q8_0-00007-of-00009.gguf)     | Q8_0   | 8 | 29.6 GB| very large, extremely low quality loss - not recommended |
| [DeepSeek-Coder-V2-Instruct-Q8_0-00008-of-00009.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q8_0-00008-of-00009.gguf)     | Q8_0   | 8 | 29.6 GB| very large, extremely low quality loss - not recommended |
| [DeepSeek-Coder-V2-Instruct-Q8_0-00009-of-00009.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q8_0-00009-of-00009.gguf)     | Q8_0   | 8 | 14.0 GB| very large, extremely low quality loss - not recommended |
| [DeepSeek-Coder-V2-Instruct-f16-00001-of-00017.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-f16-00001-of-00017.gguf)     | f16    | 16 | 29.5 GB| |
| [DeepSeek-Coder-V2-Instruct-f16-00002-of-00017.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-f16-00002-of-00017.gguf)     | f16    | 16 | 29.3 GB| |
| [DeepSeek-Coder-V2-Instruct-f16-00003-of-00017.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-f16-00003-of-00017.gguf)     | f16    | 16 | 28.9 GB| |
| [DeepSeek-Coder-V2-Instruct-f16-00004-of-00017.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-f16-00004-of-00017.gguf)     | f16    | 16 | 29.3 GB| |
| [DeepSeek-Coder-V2-Instruct-f16-00005-of-00017.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-f16-00005-of-00017.gguf)     | f16    | 16 | 29.3 GB| |
| [DeepSeek-Coder-V2-Instruct-f16-00006-of-00017.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-f16-00006-of-00017.gguf)     | f16    | 16 | 28.9 GB| |
| [DeepSeek-Coder-V2-Instruct-f16-00007-of-00017.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-f16-00007-of-00017.gguf)     | f16    | 16 | 29.3 GB| |
| [DeepSeek-Coder-V2-Instruct-f16-00008-of-00017.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-f16-00008-of-00017.gguf)     | f16    | 16 | 29.3 GB| |
| [DeepSeek-Coder-V2-Instruct-f16-00009-of-00017.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-f16-00009-of-00017.gguf)     | f16    | 16 | 28.9 GB| |
| [DeepSeek-Coder-V2-Instruct-f16-00010-of-00017.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-f16-00010-of-00017.gguf)     | f16    | 16 | 29.3 GB| |
| [DeepSeek-Coder-V2-Instruct-f16-00011-of-00017.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-f16-00011-of-00017.gguf)     | f16    | 16 | 29.3 GB| |
| [DeepSeek-Coder-V2-Instruct-f16-00012-of-00017.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-f16-00012-of-00017.gguf)     | f16    | 16 | 28.5 GB| |
| [DeepSeek-Coder-V2-Instruct-f16-00013-of-00017.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-f16-00013-of-00017.gguf)     | f16    | 16 | 29.7 GB| |
| [DeepSeek-Coder-V2-Instruct-f16-00014-of-00017.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-f16-00014-of-00017.gguf)     | f16    | 16 | 29.3 GB| |
| [DeepSeek-Coder-V2-Instruct-f16-00015-of-00017.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-f16-00015-of-00017.gguf)     | f16    | 16 | 28.9 GB| |
| [DeepSeek-Coder-V2-Instruct-f16-00016-of-00017.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-f16-00016-of-00017.gguf)     | f16    | 16 | 29.3 GB| |
| [DeepSeek-Coder-V2-Instruct-f16-00017-of-00017.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-f16-00017-of-00017.gguf)     | f16    | 16 | 5.03 GB| |

*Quatized with llama.cpp b3499*