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Yi 9B Coder by TechxGenus

 »  All LLMs  »  TechxGenus  »  Yi 9B Coder   URL Share it on

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  Autotrain compatible   Code   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TechxGenus/Yi-9B-Coder 

Yi 9B Coder Benchmarks

LLME Score: 0.17109
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Yi 9B Coder (TechxGenus/Yi-9B-Coder)

Yi 9B Coder Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
research, commercial applications
Applications:
text generation, code-related tasks
Limitations:
sometimes make errors, produce misleading contents, struggle to manage non-coding tasks
Considerations:
Additional safety testing should be performed before any real-world deployments.
Additional Notes 
Model has undergone very limited testing.
Training Details 
Data Volume:
0.5 billion high-quality code-related tokens
Methodology:
fine-tuning
Input Output 
Input Format:
Alpaca instruction format (excluding the system prompt)
Accepted Modalities:
text
Output Format:
text
LLM NameYi 9B Coder
Repository 🤗https://huggingface.co/TechxGenus/Yi-9B-Coder 
Model Size9b
Required VRAM17.7 GB
Updated2025-02-22
MaintainerTechxGenus
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
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.39.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size64000
Torch Data Typebfloat16

Best Alternatives to Yi 9B Coder

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Context / RAM
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Yi 9B 200K256K / 17.7 GB840075
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Yi Coder 9B128K / 17.7 GB693840
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CursorCore Yi 9B128K / 17.7 GB151
Yi Coder 9B Chat Instruct TIES128K / 17.7 GB50
Yi 1.5 9B 32K32K / 17.7 GB949018
Faro Yi 9B DPO32K / 17.7 GB554129
Faro Yi 9B32K / 17.7 GB549416
Note: green Score (e.g. "73.2") means that the model is better than TechxGenus/Yi-9B-Coder.

Rank the Yi 9B Coder 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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Release v20241227
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