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CodeLlama 70B Hf 4.0bpw H6 EXL2 by LoneStriker

 »  All LLMs  »  LoneStriker  »  CodeLlama 70B Hf 4.0bpw 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-hf-4.0bpw-h6-exl2 

CodeLlama 70B Hf 4.0bpw H6 EXL2 Benchmarks

LLME Score: 0.171
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CodeLlama 70B Hf 4.0bpw H6 EXL2 (LoneStriker/CodeLlama-70b-hf-4.0bpw-h6-exl2)

CodeLlama 70B Hf 4.0bpw H6 EXL2 Parameters and Internals

Model Type 
text generation, code synthesis
Use Cases 
Areas:
commercial, research
Applications:
code synthesis, code understanding, Python specific tasks, instruction following
Primary Use Cases:
code assistant, general code generation
Limitations:
Tests have not covered all scenarios, May produce inaccurate or objectionable responses
Considerations:
See Responsible Use Guide
Supported Languages 
programming_languages (English, Python)
Training Details 
Data Volume:
16k tokens fine-tuning, supports up to 100k tokens at inference
Methodology:
Fine-tuning with transformers
Context Length:
100000
Hardware Used:
A100-80GB GPUs
Model Architecture:
Auto-regressive language model with optimized transformer architecture
Responsible Ai Considerations 
Fairness:
Testing conducted in English
Mitigation Strategies:
Perform safety testing and tuning tailored to specific applications
Input Output 
Input Format:
Text input only
Output Format:
Text generation only
LLM NameCodeLlama 70B Hf 4.0bpw H6 EXL2
Repository 🤗https://huggingface.co/LoneStriker/CodeLlama-70b-hf-4.0bpw-h6-exl2 
Model Size70b
Required VRAM35 GB
Updated2024-12-22
MaintainerLoneStriker
Model Typellama
Model Files  8.5 GB: 1-of-5   8.6 GB: 2-of-5   8.5 GB: 3-of-5   8.5 GB: 4-of-5   0.9 GB: 5-of-5
Supported Languagescode
Quantization Typeexl2
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length16384
Model Max Length16384
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-hf-4.0bpw-h6-exl2.

Rank the CodeLlama 70B Hf 4.0bpw H6 EXL2 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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Release v20241217
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