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Yi Coder 9B Chat by 01-ai

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Yi Coder 9B Chat is an open-source language model by 01-ai. Features: 9b LLM, VRAM: 17.7GB, Context: 128K, License: apache-2.0, Code Generating, LLM Explorer Score: 0.25.

  Arxiv:2403.04652   Base model:01-ai/yi-coder-9b Base model:finetune:01-ai/yi-c...   Codegen   Conversational   Deploy:azure   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/01-ai/Yi-Coder-9B-Chat 

Yi Coder 9B Chat Benchmarks

MMLU Pro: 15.84
MUSR: 7.96
BBH: 25.94
IFEval: 48.17 vs 88 (so35)-45.3%
MATH Lvl 5: 4
LLME Score: 0.2466
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Yi Coder 9B Chat (01-ai/Yi-Coder-9B-Chat)
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Yi Coder 9B Chat Parameters and Internals

Model Type 
code language model
Use Cases 
Areas:
Research, Commercial Applications
Applications:
Software Development, Code Generation
Primary Use Cases:
Code Assistance, Programming Tasks
Supported Languages 
java (proficient), markdown (proficient), python (proficient), php (proficient), javascript (proficient), c++ (proficient), c# (proficient), c (proficient), typescript (proficient), html (proficient), go (proficient), java_server_pages (proficient), dart (proficient), objective-c (proficient), kotlin (proficient), tex (proficient), swift (proficient), ruby (proficient), sql (proficient), rust (proficient), css (proficient), yaml (proficient), matlab (proficient), lua (proficient), json (proficient), shell (proficient), visual_basic (proficient), scala (proficient), rmarkdown (proficient), pascal (proficient), fortran (proficient), haskell (proficient), assembly (proficient), perl (proficient), julia (proficient), cmake (proficient), groovy (proficient), ocaml (proficient), powershell (proficient), elixir (proficient), clojure (proficient), makefile (proficient), coffeescript (proficient), erlang (proficient), lisp (proficient), toml (proficient), batchfile (proficient), cobol (proficient), dockerfile (proficient), r (proficient), prolog (proficient), verilog (proficient)
Training Details 
Context Length:
128000
Input Output 
Input Format:
chat template with role and content
Accepted Modalities:
text
Output Format:
text response
Performance Tips:
Using GPUs is recommended for better performance.
LLM NameYi Coder 9B Chat
Repository 🤗https://huggingface.co/01-ai/Yi-Coder-9B-Chat 
Base Model(s)  Yi Coder 9B   01-ai/Yi-Coder-9B
Model Size9b
Required VRAM17.7 GB
Updated2026-02-21
Maintainer01-ai
Model Typellama
Model Files  4.9 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   2.8 GB: 4-of-4
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.44.0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typebfloat16

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Rank the Yi Coder 9B Chat Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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