Alpagasus 2 7B by mlabonne

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  Arxiv:2307.08701   Alpaca   Alpagasus   Autotrain compatible   Dataset:mlabonne/alpagasus   En   Endpoints compatible   Llama   Lora   Pytorch   Region:us   Safetensors   Sharded
Model Card on HF ๐Ÿค—: https://huggingface.co/mlabonne/alpagasus-2-7b 

Alpagasus 2 7B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Alpagasus 2 7B (mlabonne/alpagasus-2-7b)
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Alpagasus 2 7B Parameters and Internals

Model Type 
text generation
Additional Notes 
Fine-tuned on a high-quality subset (9k samples) of the Alpaca dataset (52k samples).
Supported Languages 
en (high proficiency)
Training Details 
Data Sources:
mlabonne/alpagasus
Methodology:
fine-tuned using QLoRA (4-bit precision)
Context Length:
512
Hardware Used:
RTX 3090
Input Output 
Input Format:
Prompts structured as instructions with a '### Instruction:' label
Accepted Modalities:
text
Output Format:
Generated text following the instruction
LLM NameAlpagasus 2 7B
Repository ๐Ÿค—https://huggingface.co/mlabonne/alpagasus-2-7b 
Model Size7b
Required VRAM13.5 GB
Updated2025-06-17
Maintainermlabonne
Model Files  0.0 GB   10.0 GB: 1-of-2   3.5 GB: 2-of-2   0.0 GB
Supported Languagesen
Model ArchitectureAutoModelForCausalLM
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/alpagasus-2-7b.

Rank the Alpagasus 2 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 v20241124