Magicoder DS 6.7B by ise-uiuc

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  Arxiv:2305.06161   Arxiv:2312.02120   Autotrain compatible   Conversational Dataset:ise-uiuc/magicoder-oss...   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow

Magicoder DS 6.7B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Magicoder DS 6.7B (ise-uiuc/Magicoder-DS-6.7B)

Magicoder DS 6.7B Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
coding tasks
Limitations:
non-coding tasks
Considerations:
Users should be aware of the risks, biases, and limitations of the model.
Additional Notes 
Magicoder models are trained on synthetic data generated by OpenAI models.
Training Details 
Data Sources:
Magicoder-OSS-Instruct-75K
Methodology:
OSS-Instruct
Input Output 
Accepted Modalities:
text
Performance Tips:
Ensure compliance with OpenAI's terms of use.
LLM NameMagicoder DS 6.7B
Repository 🤗https://huggingface.co/ise-uiuc/Magicoder-DS-6.7B 
Model Size6.7b
Required VRAM27.1 GB
Updated2025-03-12
Maintainerise-uiuc
Model Typellama
Instruction-BasedYes
Model Files  4.8 GB: 1-of-6   4.9 GB: 2-of-6   4.9 GB: 3-of-6   4.9 GB: 4-of-6   4.9 GB: 5-of-6   2.7 GB: 6-of-6
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length16384
Model Max Length16384
Transformers Version4.36.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<|end▁of▁sentence|>
Vocabulary Size32256
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than ise-uiuc/Magicoder-DS-6.7B.

Rank the Magicoder DS 6.7B Capabilities

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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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227