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Magnum V4 72B by anthracite-org

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Model Card on HF 🤗: https://huggingface.co/anthracite-org/magnum-v4-72b 

Magnum V4 72B Benchmarks

LLME Score: 0.25488
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Magnum V4 72B (anthracite-org/magnum-v4-72b)

Magnum V4 72B Parameters and Internals

LLM NameMagnum V4 72B
Repository 🤗https://huggingface.co/anthracite-org/magnum-v4-72b 
Model Size72b
Required VRAM146 GB
Updated2025-02-20
Maintaineranthracite-org
Model Typeqwen2
Instruction-BasedYes
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
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.44.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Magnum V4 72B

Best Alternatives
Context / RAM
Downloads
Likes
EVA Qwen2.5 72B V0.2128K / 146 GB260716
AceInstruct 72B128K / 146 GB17714
...n2.5 72B 2x Instruct TIES V1.0128K / 146.1 GB60
72B Qwen2.5 Kunou V1128K / 146 GB88421
...A Abliterated TIES Qwen2.5 72B128K / 146.1 GB490
EVA Qwen2.5 72B V0.1128K / 146 GB92215
EVA Qwen2.5 72B V0.0128K / 146 GB1025
Qwen2.5 72B Instruct32K / 145.5 GB342332737
Athene V2 Chat32K / 146 GB8535280
Qwen2 72B Instruct32K / 145.5 GB48317705
Note: green Score (e.g. "73.2") means that the model is better than anthracite-org/magnum-v4-72b.

Rank the Magnum V4 72B 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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