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Codellama CodeLlama 7B Python Hf W4 G128 AWQ by abhinavkulkarni

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  Arxiv:2308.12950   Autotrain compatible   Awq   Code   Codegen   Llama   Llama2   Pytorch   Quantized   Region:us

Codellama CodeLlama 7B Python Hf W4 G128 AWQ Benchmarks

LLME Score: 0.17418
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Codellama CodeLlama 7B Python Hf W4 G128 AWQ Parameters and Internals

LLM NameCodellama CodeLlama 7B Python Hf W4 G128 AWQ
Repository 🤗https://huggingface.co/abhinavkulkarni/codellama-CodeLlama-7b-Python-hf-w4-g128-awq 
Model Size7b
Required VRAM3.9 GB
Updated2024-09-07
Maintainerabhinavkulkarni
Model Typellama
Model Files  3.9 GB
Supported Languagescode
AWQ QuantizationYes
Quantization Typeawq
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length16384
Model Max Length16384
Transformers Version4.33.1
Tokenizer ClassCodeLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16
Codellama CodeLlama 7B Python Hf W4 G128 AWQ (abhinavkulkarni/codellama-CodeLlama-7b-Python-hf-w4-g128-awq)

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Note: green Score (e.g. "73.2") means that the model is better than abhinavkulkarni/codellama-CodeLlama-7b-Python-hf-w4-g128-awq.

Rank the Codellama CodeLlama 7B Python Hf W4 G128 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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