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Llama 3.1 8B Magpie Align SFT V0.2 by Magpie-Align

 »  All LLMs  »  Magpie-Align  »  Llama 3.1 8B Magpie Align SFT V0.2   URL Share it on

  1210   
  Arxiv:2406.08464   Autotrain compatible   Axolotl Base model:finetune:meta-llama... Base model:meta-llama/llama-3....   Conversational Dataset:magpie-align/magpie-ll... Dataset:magpie-align/magpie-re...   Endpoints compatible   Generated from trainer   Llama   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Magpie-Align/Llama-3.1-8B-Magpie-Align-SFT-v0.2 

Llama 3.1 8B Magpie Align SFT V0.2 Benchmarks

LLME Score: 0.23481
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3.1 8B Magpie Align SFT V0.2 (Magpie-Align/Llama-3.1-8B-Magpie-Align-SFT-v0.2)

Llama 3.1 8B Magpie Align SFT V0.2 Parameters and Internals

Model Type 
Causal Language Model, Instruction-tuned Model
Additional Notes 
Uses a novel self-synthesis method for generating alignment data.
Training Details 
Data Sources:
Magpie-Align/Magpie-Llama-3.1-Pro-500K-Filtered, Magpie-Align/Magpie-Reasoning-150K
Data Volume:
650K instances
Methodology:
Self-synthesis method for data generation
Context Length:
8192
Hardware Used:
multi-GPU (4 devices)
Model Architecture:
Llama For Causal Language Modeling
Input Output 
Input Format:
Llama 3 official chat template
Performance Tips:
Use official chat template for best performance.
LLM NameLlama 3.1 8B Magpie Align SFT V0.2
Repository 🤗https://huggingface.co/Magpie-Align/Llama-3.1-8B-Magpie-Align-SFT-v0.2 
Base Model(s)  meta-llama/Meta-Llama-3.1-8B   meta-llama/Meta-Llama-3.1-8B
Model Size8b
Required VRAM16.1 GB
Updated2025-02-05
MaintainerMagpie-Align
Model Typellama
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4   5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4   0.0 GB
Model ArchitectureLlamaForCausalLM
Licensellama3.1
Context Length131072
Model Max Length131072
Transformers Version4.43.3
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Magpie-Align/Llama-3.1-8B-Magpie-Align-SFT-v0.2.

Rank the Llama 3.1 8B Magpie Align SFT V0.2 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 v20241227
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