---
base_model: deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct
inference: false
license: other
license_name: deepseek-license
license_link: LICENSE
model_creator: DeepSeek-ai
model_name: DeepSeek-Coder-V2-Lite-Instruct
model_type: deepseek
quantized_by: Second State Inc.
---

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# DeepSeek-Coder-V2-Lite-Instruct-GGUF

## Original Model

[deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct](https://huggingface.co/deepseek-ai/DeepSeek-Coder-V2-Lite-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-Lite-Instruct-Q5_K_M.gguf \
    llama-api-server.wasm \
    --prompt-template deepseek-chat-2 \
    --ctx-size 128000 \
    --model-name DeepSeek-Coder-V2-Lite-Instruct
  ```

- Run as LlamaEdge command app

  ```bash
  wasmedge --dir .:. \
    --nn-preload default:GGML:AUTO:DeepSeek-Coder-V2-Lite-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-Lite-Instruct-Q2_K.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Lite-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Lite-Instruct-Q2_K.gguf)     | Q2_K   | 2 | 6.43 GB| smallest, significant quality loss - not recommended for most purposes |
| [DeepSeek-Coder-V2-Lite-Instruct-Q3_K_L.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Lite-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Lite-Instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 8.46 GB| small, substantial quality loss |
| [DeepSeek-Coder-V2-Lite-Instruct-Q3_K_M.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Lite-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Lite-Instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 8.13 GB| very small, high quality loss |
| [DeepSeek-Coder-V2-Lite-Instruct-Q3_K_S.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Lite-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Lite-Instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 7.49 GB| very small, high quality loss |
| [DeepSeek-Coder-V2-Lite-Instruct-Q4_0.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Lite-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Lite-Instruct-Q4_0.gguf)     | Q4_0   | 4 | 8.91 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [DeepSeek-Coder-V2-Lite-Instruct-Q4_K_M.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Lite-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Lite-Instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 10.4 GB| medium, balanced quality - recommended |
| [DeepSeek-Coder-V2-Lite-Instruct-Q4_K_S.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Lite-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Lite-Instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 9.53 GB| small, greater quality loss |
| [DeepSeek-Coder-V2-Lite-Instruct-Q5_0.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Lite-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Lite-Instruct-Q5_0.gguf)     | Q5_0   | 5 | 10.8 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
| [DeepSeek-Coder-V2-Lite-Instruct-Q5_K_M.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Lite-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Lite-Instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 11.9 GB| large, very low quality loss - recommended |
| [DeepSeek-Coder-V2-Lite-Instruct-Q5_K_S.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Lite-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Lite-Instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 11.1 GB| large, low quality loss - recommended |
| [DeepSeek-Coder-V2-Lite-Instruct-Q6_K.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Lite-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Lite-Instruct-Q6_K.gguf)     | Q6_K   | 6 | 14.1 GB| very large, extremely low quality loss |
| [DeepSeek-Coder-V2-Lite-Instruct-Q8_0.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Lite-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Lite-Instruct-Q8_0.gguf)     | Q8_0   | 8 | 16.7 GB| very large, extremely low quality loss - not recommended |
| [DeepSeek-Coder-V2-Lite-Instruct-f16.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Lite-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Lite-Instruct-f16.gguf)     | f16    | 16 | 31.4 GB| |

*Quatized with llama.cpp b3212*