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Magnum 72B V1 by alpindale

 »  All LLMs  »  alpindale  »  Magnum 72B V1   URL Share it on

  1560   
  Autotrain compatible   Chat   Conversational   En   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/alpindale/magnum-72b-v1 

Magnum 72B V1 Benchmarks

MMLU Pro: 49.64
GPQA: 18.79
MUSR: 15.62
BBH: 57.65
IFEval: 76.06 vs 88 (so35)-13.6%
MATH Lvl 5: 37.69
LLME Score: 0.38613
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Magnum 72B V1 (alpindale/magnum-72b-v1)

Magnum 72B V1 Parameters and Internals

Model Type 
text-generation
Additional Notes 
This model is fine-tuned on top of Qwen-2 72B Instruct and is the first in a series designed to replicate the prose quality of the Claude 3 models.
Supported Languages 
en (high), zh (high)
Training Details 
Data Sources:
55 million tokens of high-quality RP data
Data Volume:
55 million tokens
Methodology:
Fine-tuned on top of Qwen-2 72B Instruct
Training Time:
1.5 epochs
Hardware Used:
8x AMD Instinct™ MI300X Accelerators
Model Architecture:
Fine-tuned to replicate prose quality of Claude 3 models, specifically Sonnet and Opus
Input Output 
Input Format:
Instruct tuned with the ChatML formatting
Accepted Modalities:
text
Output Format:
Text-generated responses
LLM NameMagnum 72B V1
Repository 🤗https://huggingface.co/alpindale/magnum-72b-v1 
Model Size72b
Required VRAM146 GB
Updated2024-07-27
Maintaineralpindale
Model Typeqwen2
Model Files  4.5 GB: 1-of-31   5.0 GB: 2-of-31   4.8 GB: 3-of-31   4.8 GB: 4-of-31   4.8 GB: 5-of-31   5.0 GB: 6-of-31   4.8 GB: 7-of-31   4.8 GB: 8-of-31   4.8 GB: 9-of-31   5.0 GB: 10-of-31   4.8 GB: 11-of-31   4.8 GB: 12-of-31   4.8 GB: 13-of-31   5.0 GB: 14-of-31   4.8 GB: 15-of-31   4.8 GB: 16-of-31   4.8 GB: 17-of-31   5.0 GB: 18-of-31   4.8 GB: 19-of-31   4.8 GB: 20-of-31   4.8 GB: 21-of-31   5.0 GB: 22-of-31   4.8 GB: 23-of-31   4.8 GB: 24-of-31   4.8 GB: 25-of-31   5.0 GB: 26-of-31   4.8 GB: 27-of-31   4.8 GB: 28-of-31   4.8 GB: 29-of-31   3.2 GB: 30-of-31   2.5 GB: 31-of-31
Supported Languagesen zh
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.40.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than alpindale/magnum-72b-v1.

Rank the Magnum 72B V1 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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