Yi-Coder-9B-Chat-GGUF

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

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Model creator: 01-ai

Original model: Yi-Coder-9B-Chat

GGUF quantization: provided by bartowski based on llama.cpp release b3658

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. This model is tuned for chatting, not auto completion, so should be chatted with for programming questions. 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.

Disclaimers#

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