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OpenMath CodeLlama 13B Python Hf AWQ by eabdullin

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OpenMath CodeLlama 13B Python Hf AWQ is an open-source language model by eabdullin. Features: 13b LLM, VRAM: 7.5GB, Context: 16K, Quantized, Code Generating, LLM Explorer Score: 0.13.

  4-bit   Awq   Codegen   Endpoints compatible   Llama   Pytorch   Quantized   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/eabdullin/OpenMath-CodeLlama-13b-Python-hf-AWQ 

OpenMath CodeLlama 13B Python Hf AWQ Benchmarks

LLME Score: 0.13192
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OpenMath CodeLlama 13B Python Hf AWQ (eabdullin/OpenMath-CodeLlama-13b-Python-hf-AWQ)
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OpenMath CodeLlama 13B Python Hf AWQ Parameters and Internals

LLM NameOpenMath CodeLlama 13B Python Hf AWQ
Repository 🤗https://huggingface.co/eabdullin/OpenMath-CodeLlama-13b-Python-hf-AWQ 
Base Model(s)  ...enMath CodeLlama 13B Python Hf   nvidia/OpenMath-CodeLlama-13b-Python-hf
Model Size13b
Required VRAM7.5 GB
Updated2026-05-25
Maintainereabdullin
Model Typellama
Model Files  2.0 GB: 1-of-4   2.0 GB: 2-of-4   2.0 GB: 3-of-4   1.5 GB: 4-of-4
AWQ QuantizationYes
Quantization Typeawq
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Context Length16384
Model Max Length16384
Transformers Version4.41.0
Tokenizer ClassCodeLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than eabdullin/OpenMath-CodeLlama-13b-Python-hf-AWQ.

Rank the OpenMath CodeLlama 13B Python Hf 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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