Updated 7 months ago
7 months ago
667f4cf7d63e · 9.4GB
model
archllama
·
parameters8.83B
·
quantizationQ8_0
9.4GB
params
{
"stop": [
"<|endoftext|>",
"<|im_end|>",
"<fim_prefix>",
"<fim
153B
template
{{ if .System }}<|im_start|>system
{{ .System }}<|im_end|>
{{ end }}{{ if .Prompt }}<|im_start|>user
181B
system
You are an AI assistant to help with programming and software development. Provide clear explanation
260B
Readme
Source: https://huggingface.co/01-ai/Yi-Coder-9B-Chat
Source gguf: https://huggingface.co/lmstudio-community/Yi-Coder-9B-Chat-GGUF
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📝 Paper •
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📗 Learning Hub
Intro
Yi-Coder is a series of open-source code language models that delivers state-of-the-art coding performance with fewer than 10 billion parameters.
Key features: - Excelling in long-context understanding with a maximum context length of 128K tokens. - Supporting 52 major programming 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'
For model details and benchmarks, see Yi-Coder blog and Yi-Coder README.
