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CodeLlama 70B Python Hf 2.65bpw H6 EXL2 by LoneStriker

 »  All LLMs  »  LoneStriker  »  CodeLlama 70B Python Hf 2.65bpw H6 EXL2   URL Share it on

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  Arxiv:2308.12950   Autotrain compatible   Code   Codegen   Endpoints compatible   Exl2   Llama   Llama2   Pytorch   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/LoneStriker/CodeLlama-70b-Python-hf-2.65bpw-h6-exl2 

CodeLlama 70B Python Hf 2.65bpw H6 EXL2 Benchmarks

LLME Score: 0.17133
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CodeLlama 70B Python Hf 2.65bpw H6 EXL2 (LoneStriker/CodeLlama-70b-Python-hf-2.65bpw-h6-exl2)

CodeLlama 70B Python Hf 2.65bpw H6 EXL2 Parameters and Internals

Model Type 
text generation, code synthesis
Use Cases 
Areas:
commercial, research
Applications:
code synthesis, code understanding tasks, code assistant and generation
Primary Use Cases:
Python programming language
Limitations:
Use in languages other than English.
Considerations:
Developers should perform safety testing tailored to their specific applications.
Additional Notes 
This is a static model trained on an offline dataset.
Supported Languages 
programming_languages (Python), proficiency_level (specialist)
Training Details 
Data Sources:
offline dataset
Methodology:
fine-tuned with up to 16k tokens
Hardware Used:
A100-80GB GPUs
Model Architecture:
auto-regressive language model that uses an optimized transformer architecture
Safety Evaluation 
Ethical Considerations:
Testing conducted to date has been in English, and has not covered all scenarios. The model may produce inaccurate or objectionable responses.
Input Output 
Input Format:
text
Accepted Modalities:
text
Output Format:
text
LLM NameCodeLlama 70B Python Hf 2.65bpw H6 EXL2
Repository 🤗https://huggingface.co/LoneStriker/CodeLlama-70b-Python-hf-2.65bpw-h6-exl2 
Model Size70b
Required VRAM23.5 GB
Updated2024-12-23
MaintainerLoneStriker
Model Typellama
Model Files  8.5 GB: 1-of-3   8.6 GB: 2-of-3   6.4 GB: 3-of-3
Supported Languagescode
Quantization Typeexl2
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length2048
Model Max Length2048
Transformers Version4.37.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32016
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/CodeLlama-70b-Python-hf-2.65bpw-h6-exl2.

Rank the CodeLlama 70B Python Hf 2.65bpw H6 EXL2 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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Release v20241217
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