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Codellama 7B by unsloth

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Model Card on HF 🤗: https://huggingface.co/unsloth/codellama-7b 

Codellama 7B Benchmarks

LLME Score: 0.19845
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Codellama 7B (unsloth/codellama-7b)

Codellama 7B Parameters and Internals

Model Type 
Finetuning tool
Use Cases 
Areas:
Finetuning
Applications:
Natural Language Processing, Machine Learning
Primary Use Cases:
Finetuning models like Llama, Mistral, Gemma
Limitations:
Limited to supported models
Additional Notes 
Unsloth is promoted as a way to finetune models faster and with less memory usage.
LLM NameCodellama 7B
Repository 🤗https://huggingface.co/unsloth/codellama-7b 
Model Size7b
Required VRAM13.5 GB
Updated2024-12-26
Maintainerunsloth
Model Typellama
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   3.6 GB: 3-of-3
Supported Languagesen
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length16384
Model Max Length16384
Transformers Version4.44.2
Tokenizer ClassCodeLlamaTokenizer
Padding Token<unk>
Vocabulary Size32016
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than unsloth/codellama-7b.

Rank the Codellama 7B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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