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Llama 3 8B Magpie Align V0.3 by Magpie-Align

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

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  Arxiv:2310.01377   Arxiv:2405.14734   Arxiv:2406.08464   Arxiv:2406.12845   Alignment-handbook   Autotrain compatible   Axolotl Base model:finetune:magpie-ali... Base model:magpie-align/llama-...   Conversational Dataset:magpie-align/magpie-pr... Dataset:magpie-align/magpie-qw... Dataset:magpie-align/magpie-re... Dataset:princeton-nlp/llama3-u...   Dpo   En   Endpoints compatible   Generated from trainer   Llama   Region:us   Safetensors   Sft   Sharded   Tensorboard   Tensorflow   Trl   Zh
Model Card on HF 🤗: https://huggingface.co/Magpie-Align/Llama-3-8B-Magpie-Align-v0.3 

Llama 3 8B Magpie Align V0.3 Benchmarks

MMLU Pro: 23.71
GPQA: 2.01
MUSR: 3.74
BBH: 24.31
IFEval: 44.97 vs 88 (so35)-48.9%
MATH Lvl 5: 2.72
LLME Score: 0.29739
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 Align V0.3 (Magpie-Align/Llama-3-8B-Magpie-Align-v0.3)

Llama 3 8B Magpie Align V0.3 Parameters and Internals

Model Type 
aligned LLM, text generation
Use Cases 
Areas:
research, commercial applications
Additional Notes 
Designed to handle Mandarin Chinese queries effectively, providing a comprehensive response structure.
Supported Languages 
en (English (proficient)), zh (Chinese (proficient))
Training Details 
Data Sources:
Magpie-Align/Magpie-Pro-MT-300K-v0.1, Magpie-Align/Magpie-Reasoning-150K, Magpie-Align/Magpie-Qwen2-Pro-200K-Chinese, princeton-nlp/llama3-ultrafeedback-armorm
Methodology:
SFT and DPO
Context Length:
8192
Hardware Used:
multi-GPU
Model Architecture:
Causal language model
Input Output 
Input Format:
Standard chat prompts using Llama 3 official chat template.
Accepted Modalities:
text
Output Format:
Text-based responses
Performance Tips:
Use the Llama 3 official chat template for improved performance.
LLM NameLlama 3 8B Magpie Align V0.3
Repository 🤗https://huggingface.co/Magpie-Align/Llama-3-8B-Magpie-Align-v0.3 
Base Model(s)  Magpie-Align/Llama-3-8B-Magpie-Align-SFT-v0.3   Magpie-Align/Llama-3-8B-Magpie-Align-SFT-v0.3
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   0.0 GB
Supported Languagesen zh
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.42.3
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-3-8B-Magpie-Align-v0.3.

Rank the Llama 3 8B Magpie Align V0.3 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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