---
base_model: 01-ai/Yi-Coder-9B-Chat
inference: false
model_creator: 01-ai
model_name: Yi-Coder-9B-Chat
model_type: yi
pipeline_tag: text-generation
quantized_by: Second State Inc.
license: apache-2.0
---

<!-- 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 -->

# Yi-Coder-9B-Chat-GGUF

## Original Model

[01-ai/Yi-Coder-9B-Chat](https://huggingface.co/01-ai/Yi-Coder-9B-Chat)

## Run with LlamaEdge

- LlamaEdge version: [v0.14.2](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.14.2) and above

- Prompt template

  - Prompt type: `chatml`

  - Prompt string

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

  - Reverse prompt: `<|im_end|>`

- Context size: `128000`

- Run as LlamaEdge service

  ```bash
  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Yi-Coder-9B-Chat-Q5_K_M.gguf \
    llama-api-server.wasm \
    --prompt-template chatml \
    --reverse-prompt "<|im_end|>" \
    --ctx-size 128000 \
    --model-name Yi-Coder-9B-Chat
  ```

- Run as LlamaEdge command app

  ```bash
  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Yi-Coder-9B-Chat-Q5_K_M.gguf \
    llama-chat.wasm \
    --prompt-template chatml \
    --reverse-prompt "<|im_end|>" \
    --ctx-size 128000
  ```

## Quantized GGUF Models

| Name | Quant method | Bits | Size | Use case |
| ---- | ---- | ---- | ---- | ----- |
| [Yi-Coder-9B-Chat-Q2_K.gguf](https://huggingface.co/second-state/Yi-Coder-9B-Chat-GGUF/blob/main/Yi-Coder-9B-Chat-Q2_K.gguf)     | Q2_K   | 2 | 3.35 GB| smallest, significant quality loss - not recommended for most purposes |
| [Yi-Coder-9B-Chat-Q3_K_L.gguf](https://huggingface.co/second-state/Yi-Coder-9B-Chat-GGUF/blob/main/Yi-Coder-9B-Chat-Q3_K_L.gguf) | Q3_K_L | 3 | 4.69 GB| small, substantial quality loss |
| [Yi-Coder-9B-Chat-Q3_K_M.gguf](https://huggingface.co/second-state/Yi-Coder-9B-Chat-GGUF/blob/main/Yi-Coder-9B-Chat-Q3_K_M.gguf) | Q3_K_M | 3 | 4.32 GB| very small, high quality loss |
| [Yi-Coder-9B-Chat-Q3_K_S.gguf](https://huggingface.co/second-state/Yi-Coder-9B-Chat-GGUF/blob/main/Yi-Coder-9B-Chat-Q3_K_S.gguf) | Q3_K_S | 3 | 3.90 GB| very small, high quality loss |
| [Yi-Coder-9B-Chat-Q4_0.gguf](https://huggingface.co/second-state/Yi-Coder-9B-Chat-GGUF/blob/main/Yi-Coder-9B-Chat-Q4_0.gguf)     | Q4_0   | 4 | 5.04 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [Yi-Coder-9B-Chat-Q4_K_M.gguf](https://huggingface.co/second-state/Yi-Coder-9B-Chat-GGUF/blob/main/Yi-Coder-9B-Chat-Q4_K_M.gguf) | Q4_K_M | 4 | 5.33 GB| medium, balanced quality - recommended |
| [Yi-Coder-9B-Chat-Q4_K_S.gguf](https://huggingface.co/second-state/Yi-Coder-9B-Chat-GGUF/blob/main/Yi-Coder-9B-Chat-Q4_K_S.gguf) | Q4_K_S | 4 | 5.07 GB| small, greater quality loss |
| [Yi-Coder-9B-Chat-Q5_0.gguf](https://huggingface.co/second-state/Yi-Coder-9B-Chat-GGUF/blob/main/Yi-Coder-9B-Chat-Q5_0.gguf)     | Q5_0   | 5 | 6.11 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
| [Yi-Coder-9B-Chat-Q5_K_M.gguf](https://huggingface.co/second-state/Yi-Coder-9B-Chat-GGUF/blob/main/Yi-Coder-9B-Chat-Q5_K_M.gguf) | Q5_K_M | 5 | 6.26 GB| large, very low quality loss - recommended |
| [Yi-Coder-9B-Chat-Q5_K_S.gguf](https://huggingface.co/second-state/Yi-Coder-9B-Chat-GGUF/blob/main/Yi-Coder-9B-Chat-Q5_K_S.gguf) | Q5_K_S | 5 | 6.11 GB| large, low quality loss - recommended |
| [Yi-Coder-9B-Chat-Q6_K.gguf](https://huggingface.co/second-state/Yi-Coder-9B-Chat-GGUF/blob/main/Yi-Coder-9B-Chat-Q6_K.gguf)     | Q6_K   | 6 | 7.25 GB| very large, extremely low quality loss |
| [Yi-Coder-9B-Chat-Q8_0.gguf](https://huggingface.co/second-state/Yi-Coder-9B-Chat-GGUF/blob/main/Yi-Coder-9B-Chat-Q8_0.gguf)     | Q8_0   | 8 | 9.38 GB| very large, extremely low quality loss - not recommended |
| [Yi-Coder-9B-Chat-f16.gguf](https://huggingface.co/second-state/Yi-Coder-9B-Chat-GGUF/blob/main/Yi-Coder-9B-Chat-f16.gguf)       | f16   | 16 | 17.7 GB| |

*Quantized with llama.cpp b3664*