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Llama 3 8B Magpie Pro MT SFT V0.1 by Magpie-Align

 »  All LLMs  »  Magpie-Align  »  Llama 3 8B Magpie Pro MT SFT V0.1   URL Share it on

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Llama 3 8B Magpie Pro MT SFT V0.1 is an open-source language model by Magpie-Align. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: llama3, LLM Explorer Score: 0.14.

  Arxiv:2406.08464   Autotrain compatible   Axolotl Base model:meta-llama/meta-lla...   Conversational   Endpoints compatible   Generated from trainer   License:llama3   Llama   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Magpie-Align/Llama-3-8B-Magpie-Pro-MT-SFT-v0.1 

Llama 3 8B Magpie Pro MT SFT V0.1 Benchmarks

LLME Score: 0.144
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 8B Magpie Pro MT SFT V0.1 (Magpie-Align/Llama-3-8B-Magpie-Pro-MT-SFT-v0.1)
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Llama 3 8B Magpie Pro MT SFT V0.1 Parameters and Internals

Model Type 
Text Generation
Use Cases 
Areas:
Research, Alignment Data Synthesis
Primary Use Cases:
Alignment Data Synthesis for LLMs
Limitations:
Instructions generated are dependent on Llama-3-Instruct's capabilities
Additional Notes 
This model is developed to demonstrate the process of generating high-quality instruction datasets using a self-synthesis method named Magpie.
Supported Languages 
English (High)
Training Details 
Data Sources:
Magpie-Align/Magpie-Pro-MT-300K-v0.1
Data Volume:
300K instances
Methodology:
Self-synthesis for Alignment Data
Context Length:
8192
Hardware Used:
4 GPUs
Model Architecture:
LlamaForCausalLM
Input Output 
Input Format:
Official Llama 3 chat template
Accepted Modalities:
text
Output Format:
Text
Performance Tips:
Use the Llama 3 official chat template for optimal performance.
Release Notes 
Version:
v0.1
Notes:
- First release with alignment data synthesized using Magpie. - Aims to democratize the availability of high-quality alignment datasets by generating them from an existing aligned LLM.
LLM NameLlama 3 8B Magpie Pro MT SFT V0.1
Repository 🤗https://huggingface.co/Magpie-Align/Llama-3-8B-Magpie-Pro-MT-SFT-v0.1 
Base Model(s)  Meta Llama 3 8B   meta-llama/Meta-Llama-3-8B
Model Size8b
Required VRAM16.1 GB
Updated2024-07-15
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
Context Length8192
Model Max Length8192
Transformers Version4.40.2
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-3-8B-Magpie-Pro-MT-SFT-v0.1.

Rank the Llama 3 8B Magpie Pro MT SFT V0.1 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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