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Magnum V2 32B by anthracite-org

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  Autotrain compatible Base model:finetune:qwen/qwen1...   Base model:qwen/qwen1.5-32b   Chat   Conversational   En   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/anthracite-org/magnum-v2-32b 

Magnum V2 32B Benchmarks

LLME Score: 0.22405
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Magnum V2 32B (anthracite-org/magnum-v2-32b)

Magnum V2 32B Parameters and Internals

Model Type 
text-generation
Additional Notes 
This is the third model in a series meant to replicate the prose quality of the Claude 3 models, specifically Sonnet and Opus.
Supported Languages 
en (English), zh (Chinese)
Training Details 
Data Sources:
Stheno dataset (filtered), NobodyExistsOnTheInternet/claude_3.5s_single_turn_unslop_filtered, NobodyExistsOnTheInternet/PhiloGlanSharegpt, NobodyExistsOnTheInternet/Magpie-Reasoning-Medium-Subset, kalomaze/Opus_Instruct_25k, Nopm/Opus_WritingStruct, Gryphe/Sonnet3.5-SlimOrcaDedupCleaned
Methodology:
Instruct tuned with the ChatML formatting
Training Time:
2 epochs
Hardware Used:
8x NVIDIA H100 Tensor Core GPUs
Input Output 
Input Format:
ChatML formatting.
LLM NameMagnum V2 32B
Repository 🤗https://huggingface.co/anthracite-org/magnum-v2-32b 
Base Model(s)  Qwen/Qwen1.5-32B   Qwen/Qwen1.5-32B
Model Size32b
Required VRAM64.6 GB
Updated2025-02-22
Maintaineranthracite-org
Model Typeqwen2
Model Files  4.9 GB: 1-of-14   4.8 GB: 2-of-14   4.8 GB: 3-of-14   4.8 GB: 4-of-14   4.8 GB: 5-of-14   4.8 GB: 6-of-14   4.8 GB: 7-of-14   4.8 GB: 8-of-14   4.8 GB: 9-of-14   4.8 GB: 10-of-14   4.8 GB: 11-of-14   4.8 GB: 12-of-14   4.8 GB: 13-of-14   2.1 GB: 14-of-14   0.0 GB   0.0 GB
Supported Languagesen zh
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.43.1
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 anthracite-org/magnum-v2-32b.

Rank the Magnum V2 32B 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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