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Python Code 13B AWQ by TheBloke

 »  All LLMs  »  TheBloke  »  Python Code 13B AWQ   URL Share it on

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  4-bit   Autotrain compatible   Awq Base model:ajibawa-2023/python... Base model:quantized:ajibawa-2...   Code Dataset:ajibawa-2023/python-co...   En   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/Python-Code-13B-AWQ 

Python Code 13B AWQ Benchmarks

LLME Score: 0.14525
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Python Code 13B AWQ (TheBloke/Python-Code-13B-AWQ)

Python Code 13B AWQ Parameters and Internals

Model Type 
llama, code generation
Additional Notes 
The Python Code 13B model can generate Python code along with detailed explanations. It offers quantization options including AWQ, 4-bit quantization. It was trained using a dataset generated by various GPT models.
Supported Languages 
en (proficient)
Training Details 
Data Sources:
GPT-3.5, GPT-4, Vicuna/ShareGPT format
Data Volume:
23000+ sets of codes
Training Time:
13 hours
Hardware Used:
Azure 4 x A100 80GB
Model Architecture:
Llama-2
Input Output 
Input Format:
USER: {prompt} ASSISTANT:
Accepted Modalities:
text
LLM NamePython Code 13B AWQ
Repository 🤗https://huggingface.co/TheBloke/Python-Code-13B-AWQ 
Model NamePython Code 13B
Model CreatorFeynman Innovations
Base Model(s)  Python Code 13B   ajibawa-2023/Python-Code-13B
Model Size13b
Required VRAM7.2 GB
Updated2025-02-22
MaintainerTheBloke
Model Typellama
Model Files  7.2 GB
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-nd-4.0
Context Length4096
Model Max Length4096
Transformers Version4.35.0
Tokenizer ClassLlamaTokenizer
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/Python-Code-13B-AWQ.

Rank the Python Code 13B 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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