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CodeLlama 7B Python AWQ by TheBloke

 »  All LLMs  »  TheBloke  »  CodeLlama 7B Python AWQ   URL Share it on

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  Arxiv:2308.12950   4-bit   Autotrain compatible   Awq   Code   Codegen   Llama   Llama2   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/CodeLlama-7B-Python-AWQ 

CodeLlama 7B Python AWQ Benchmarks

LLME Score: 0.13927
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CodeLlama 7B Python AWQ (TheBloke/CodeLlama-7B-Python-AWQ)

CodeLlama 7B Python AWQ Parameters and Internals

Model Type 
llama
Training Details 
Hardware Used:
A100-80GB GPUs
Model Architecture:
Optimized transformer architecture
Input Output 
Input Format:
Models input text only.
Output Format:
Models generate text only.
LLM NameCodeLlama 7B Python AWQ
Repository 🤗https://huggingface.co/TheBloke/CodeLlama-7B-Python-AWQ 
Model NameCodeLlama 7B Python
Model CreatorMeta
Base Model(s)  codellama/CodeLlama-7b-python-hf   codellama/CodeLlama-7b-python-hf
Model Size7b
Required VRAM3.9 GB
Updated2024-12-22
MaintainerTheBloke
Model Typellama
Model Files  3.9 GB
Supported Languagescode
AWQ QuantizationYes
Quantization Typeawq
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length16384
Model Max Length16384
Transformers Version4.33.0.dev0
Tokenizer ClassCodeLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/CodeLlama-7B-Python-AWQ.

Rank the CodeLlama 7B Python AWQ Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20241217
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