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Codellama CodeLlama 7B Instruct Hf W4 G128 AWQ by abhinavkulkarni

 »  All LLMs  »  abhinavkulkarni  »  Codellama CodeLlama 7B Instruct Hf W4 G128 AWQ   URL Share it on

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

Codellama CodeLlama 7B Instruct Hf W4 G128 AWQ Benchmarks

LLME Score: 0.14755
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 Instruct Hf W4 G128 AWQ Parameters and Internals

LLM NameCodellama CodeLlama 7B Instruct Hf W4 G128 AWQ
Repository 🤗https://huggingface.co/abhinavkulkarni/codellama-CodeLlama-7b-Instruct-hf-w4-g128-awq 
Model Size7b
Required VRAM3.9 GB
Updated2024-09-16
Maintainerabhinavkulkarni
Model Typellama
Instruction-BasedYes
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 Size32016
Torch Data Typefloat16
Codellama CodeLlama 7B Instruct Hf W4 G128 AWQ (abhinavkulkarni/codellama-CodeLlama-7b-Instruct-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-Instruct-hf-w4-g128-awq.

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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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