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Codellama 2 7B by mlabonne

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  Adapter Base model:adapter:meta-llama/... Base model:meta-llama/llama-2-...   Code   Codegen Dataset:mlabonne/codellama-2-2...   Finetuned   Llama   Lora   Peft   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlabonne/codellama-2-7b 

Codellama 2 7B Benchmarks

LLME Score: 0.11468
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Codellama 2 7B (mlabonne/codellama-2-7b)

Codellama 2 7B Parameters and Internals

Model Type 
text generation
Training Details 
Data Sources:
mlabonne/CodeLlama-2-20k
Methodology:
fine-tuning using QLoRA
Hardware Used:
RTX 3090
LLM NameCodellama 2 7B
Repository 🤗https://huggingface.co/mlabonne/codellama-2-7b 
Base Model(s)  Llama 2 7B Hf   meta-llama/Llama-2-7b-hf
Model Size7b
Required VRAM13.5 GB
Updated2025-03-24
Maintainermlabonne
Model Files  0.0 GB   0.0 GB   10.0 GB: 1-of-2   10.0 GB: 1-of-2   3.5 GB: 2-of-2   3.5 GB: 2-of-2   0.0 GB
Generates CodeYes
Model ArchitectureAdapter
Licenseapache-2.0
Is Biasednone
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|v_proj
LoRA Alpha16
LoRA Dropout0.1
R Param8

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Note: green Score (e.g. "73.2") means that the model is better than mlabonne/codellama-2-7b.

Rank the Codellama 2 7B 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 v20241227
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