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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

LLME Score: 0.19213
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 Parameters and Internals

LLM NameMagicoder DS 6.7B
Repository 🤗https://huggingface.co/ise-uiuc/Magicoder-DS-6.7B 
Model Size6.7b
Required VRAM27.1 GB
Updated2024-10-18
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
Magicoder DS 6.7B (ise-uiuc/Magicoder-DS-6.7B)

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Context / RAM
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Likes
Magicoder S DS 6.7B16K / 27.1 GB4670200
Speechless Coder Ds 6.7B16K / 13.5 GB11255
Code 290K 6.7B Instruct16K / 13.5 GB716
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Merge Code Gen16K / 13.6 GB80
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... 6.7B Instruct Trt Int4 G64 Hf16K / 4.2 GB50
...6.7B Instruct Trt Int8 G128 Hf16K / 7.2 GB80
...d Llama 6.7B RAG Code Instruct16K / 13.5 GB41
AIGCodeGeek DS 6.7B16K / 13.5 GB224
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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Release v2024072803
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