Yi-Coder-9B-Chat-GGUF

💫 Community Model> Yi Coder 9B Chat by 01-Ai

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Model creator: 01-ai<br> Original model: Yi-Coder-9B-Chat<br> GGUF quantization: provided by bartowski based on llama.cpp release 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:

  '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 and the whole team working on llama.cpp for making all of this possible.

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