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Magicoder S DS 6.7B 3.0bpw H6 EXL2 by LoneStriker

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  Autotrain compatible Dataset:ise-uiuc/magicoder-evo... Dataset:ise-uiuc/magicoder-oss...   Endpoints compatible   Exl2   Instruct   Llama   Quantized   Region:us   Safetensors

Magicoder S DS 6.7B 3.0bpw H6 EXL2 Benchmarks

LLME Score: 0.16798
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Magicoder S DS 6.7B 3.0bpw H6 EXL2 Parameters and Internals

LLM NameMagicoder S DS 6.7B 3.0bpw H6 EXL2
Repository 🤗https://huggingface.co/LoneStriker/Magicoder-S-DS-6.7B-3.0bpw-h6-exl2 
Model Size6.7b
Required VRAM2.8 GB
Updated2024-10-18
MaintainerLoneStriker
Model Typellama
Instruction-BasedYes
Model Files  2.8 GB
Quantization Typeexl2
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 S DS 6.7B 3.0bpw H6 EXL2 (LoneStriker/Magicoder-S-DS-6.7B-3.0bpw-h6-exl2)

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/Magicoder-S-DS-6.7B-3.0bpw-h6-exl2.

Rank the Magicoder S DS 6.7B 3.0bpw H6 EXL2 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 v2024072803
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