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Magicoder S DS 6.7B AWQ by TheBloke

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  Arxiv:2305.06161   Arxiv:2312.02120   4-bit   Autotrain compatible   Awq Base model:ise-uiuc/magicoder-... Base model:quantized:ise-uiuc/... Dataset:ise-uiuc/magicoder-evo... Dataset:ise-uiuc/magicoder-oss...   Instruct   Llama   Quantized   Region:us   Safetensors

Magicoder S DS 6.7B AWQ Benchmarks

LLME Score: 0.17085
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 AWQ Parameters and Internals

LLM NameMagicoder S DS 6.7B AWQ
Repository 🤗https://huggingface.co/TheBloke/Magicoder-S-DS-6.7B-AWQ 
Model NameMagicoder S DS 6.7B
Model CreatorIntellligent Software Engineering (iSE
Base Model(s)  ise-uiuc/Magicoder-S-DS-6.7B   ise-uiuc/Magicoder-S-DS-6.7B
Model Size6.7b
Required VRAM3.9 GB
Updated2024-10-18
MaintainerTheBloke
Model Typedeepseek
Instruction-BasedYes
Model Files  3.9 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length16384
Model Max Length16384
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token<｜end▁of▁sentence｜>
Vocabulary Size32256
Torch Data Typefloat16
Magicoder S DS 6.7B AWQ (TheBloke/Magicoder-S-DS-6.7B-AWQ)

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

Rank the Magicoder S DS 6.7B AWQ 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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