Magicoder S CL 7B 3.0bpw H6 EXL2 2 by LoneStriker

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  Arxiv:2305.06161   Arxiv:2312.02120   Autotrain compatible Dataset:ise-uiuc/magicoder-evo... Dataset:ise-uiuc/magicoder-oss...   Endpoints compatible   Exl2   Instruct   Llama   Quantized   Region:us   Safetensors

Magicoder S CL 7B 3.0bpw H6 EXL2 2 Benchmarks

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

Magicoder S CL 7B 3.0bpw H6 EXL2 2 Parameters and Internals

LLM NameMagicoder S CL 7B 3.0bpw H6 EXL2 2
Repository ๐Ÿค—https://huggingface.co/LoneStriker/Magicoder-S-CL-7B-3.0bpw-h6-exl2-2 
Model Size7b
Required VRAM2.8 GB
Updated2024-09-16
MaintainerLoneStriker
Model Typellama
Instruction-BasedYes
Model Files  2.8 GB
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length16384
Model Max Length16384
Transformers Version4.36.0.dev0
Tokenizer ClassCodeLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat32
Magicoder S CL 7B 3.0bpw H6 EXL2 2 (LoneStriker/Magicoder-S-CL-7B-3.0bpw-h6-exl2-2)

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/Magicoder-S-CL-7B-3.0bpw-h6-exl2-2.

Rank the Magicoder S CL 7B 3.0bpw H6 EXL2 2 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