---
quantized_by: bartowski
pipeline_tag: text-generation
---
## 💫 Community Model> Yi Coder 9B Chat by 01-Ai

*👾 [LM Studio](https://lmstudio.ai) Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on [Discord](https://discord.gg/aPQfnNkxGC)*.

**Model creator:** [01-ai](https://huggingface.co/01-ai)<br>
**Original model**: [Yi-Coder-9B-Chat](https://huggingface.co/01-ai/Yi-Coder-9B-Chat)<br>
**GGUF quantization:** provided by [bartowski](https://huggingface.co/bartowski) based on `llama.cpp` release [b3658](https://github.com/ggerganov/llama.cpp/releases/tag/b3658)<br>

## Model Summary:
Yi Coder 9B Chat is a new coding model from Yi, supporting a staggering 52 programming language, and featuring a max context length of 128k, making it great for ingesting large codebases.<br>This model is tuned for chatting, not auto completion, so should be chatted with for programming questions.<br>It is the first model under 10B parameters to pass 20% on LiveCodeBench.

## Prompt Template:

Choose the `ChatML` preset in your LM Studio.
Under the hood, the model will see a prompt that's formatted like so

```
<|im_start|>system
You are a helpful assistant.<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant

```

## Technical Details

Trained on an extensive set of languages:
```bash
  'java', 'markdown', 'python', 'php', 'javascript', 'c++', 'c#', 'c', 'typescript', 'html', 'go', 'java_server_pages', 'dart', 'objective-c', 'kotlin', 'tex', 'swift', 'ruby', 'sql', 'rust', 'css', 'yaml', 'matlab', 'lua', 'json', 'shell', 'visual_basic', 'scala', 'rmarkdown', 'pascal', 'fortran', 'haskell', 'assembly', 'perl', 'julia', 'cmake', 'groovy', 'ocaml', 'powershell', 'elixir', 'clojure', 'makefile', 'coffeescript', 'erlang', 'lisp', 'toml', 'batchfile', 'cobol', 'dockerfile', 'r', 'prolog', 'verilog'
```

128k context length, achieves 23% pass rate on LiveCodeBench, surpassing even some SOTA 15-33B models.

## Special thanks

🙏 Special thanks to [Georgi Gerganov](https://github.com/ggerganov) and the whole team working on [llama.cpp](https://github.com/ggerganov/llama.cpp/) for making all of this possible.

## Disclaimers

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