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Codellama CodeLlama 7B Python Hf W4 G128 AWQ by abhinavkulkarni

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

  1232   
  Arxiv:2308.12950   Autotrain compatible   Awq   Code   Codegen   Llama   Llama2   Pytorch   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/abhinavkulkarni/codellama-CodeLlama-7b-Python-hf-w4-g128-awq 

Codellama CodeLlama 7B Python Hf W4 G128 AWQ Benchmarks

LLME Score: 0.11615
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 (abhinavkulkarni/codellama-CodeLlama-7b-Python-hf-w4-g128-awq)
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Codellama CodeLlama 7B Python Hf W4 G128 AWQ Parameters and Internals

Model Type 
generative, text
Use Cases 
Areas:
code generation
Applications:
generative modeling in Python
Primary Use Cases:
generating Python code
Limitations:
limited to code generation contexts
Supported Languages 
Python (high)
Training Details 
Methodology:
AWQ quantization
Hardware Used:
NVIDIA GPUs with compute capability of 8.0 or higher
Model Architecture:
Llama2
Input Output 
Input Format:
Python code prompts
Accepted Modalities:
text
Output Format:
generated code
Performance Tips:
Ensure high compute capability GPU for best results.
Release Notes 
Date:
2023-08-31
Notes:
First release with AWQ quantization.
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
Updated2025-09-23
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

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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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