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CodeLlama 34B Python AWQ by TheBloke

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CodeLlama 34B Python AWQ is an open-source language model by TheBloke. Features: 34b LLM, VRAM: 18.3GB, Context: 16K, License: llama2, Quantized, Code Generating, LLM Explorer Score: 0.09.

  Arxiv:2308.12950   4-bit   Awq   Code   Codegen   Llama   Llama2   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TheBloke/CodeLlama-34B-Python-AWQ 

CodeLlama 34B Python AWQ Benchmarks

LLME Score: 0.09345
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CodeLlama 34B Python AWQ (TheBloke/CodeLlama-34B-Python-AWQ)
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CodeLlama 34B Python AWQ Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
commercial, research
Applications:
code synthesis and understanding
Primary Use Cases:
Python programming language handling
Limitations:
Not to be used in any manner that violates applicable laws or regulations or in languages other than English.
Considerations:
Testing has been mainly in English. Code Llama's potential outputs cannot be predicted in advance, and the model may produce inaccurate or objectionable outputs.
Additional Notes 
The Code Llama family of models is a new technology with associated risks.
Supported Languages 
Python (specialist)
Training Details 
Data Sources:
same data as Llama 2
Data Volume:
Not specified
Methodology:
Quantization using AWQ (4-bit)
Context Length:
4096
Training Time:
400K GPU hours
Hardware Used:
Meta’s Research Super Cluster, hardware of type A100-80GB
Model Architecture:
Optimized transformer architecture
Responsible Ai Considerations 
Fairness:
Not covered in detail
Transparency:
Model is pretrained on Llama 2 data
Accountability:
Meta
Mitigation Strategies:
Not specified
Input Output 
Input Format:
Models input text only.
Accepted Modalities:
text
Output Format:
Models generate text only.
Performance Tips:
Consider using quantization for efficiency.
Release Notes 
Version:
Not specified
Date:
AWQ model release
Notes:
Released with 128g AWQ model, sharded safetensors files.
LLM NameCodeLlama 34B Python AWQ
Repository 🤗https://huggingface.co/TheBloke/CodeLlama-34B-Python-AWQ 
Model NameCodeLlama 34B Python
Model CreatorMeta
Base Model(s)  codellama/CodeLlama-34b-python-hf   codellama/CodeLlama-34b-python-hf
Model Size34b
Required VRAM18.3 GB
Updated2026-04-03
MaintainerTheBloke
Model Typellama
Model Files  9.9 GB: 1-of-2   8.4 GB: 2-of-2
Supported Languagescode
AWQ QuantizationYes
Quantization Typeawq
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length16384
Model Max Length16384
Transformers Version4.32.0.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-34B-Python-AWQ.

Rank the CodeLlama 34B 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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