Magnum V3 27B Kto R3 by anthracite-forge

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Magnum V3 27B Kto R3 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Magnum V3 27B Kto R3 (anthracite-forge/magnum-v3-27b-kto-r3)

Magnum V3 27B Kto R3 Parameters and Internals

LLM NameMagnum V3 27B Kto R3
Repository ๐Ÿค—https://huggingface.co/anthracite-forge/magnum-v3-27b-kto-r3 
Model Size27b
Required VRAM53.9 GB
Updated2025-01-14
Maintaineranthracite-forge
Model Typegemma2
Model Files  2.4 GB: 1-of-29   1.9 GB: 2-of-29   1.9 GB: 3-of-29   1.9 GB: 4-of-29   1.8 GB: 5-of-29   1.9 GB: 6-of-29   1.9 GB: 7-of-29   1.8 GB: 8-of-29   1.9 GB: 9-of-29   1.9 GB: 10-of-29   1.8 GB: 11-of-29   1.9 GB: 12-of-29   1.9 GB: 13-of-29   1.8 GB: 14-of-29   1.9 GB: 15-of-29   1.9 GB: 16-of-29   1.8 GB: 17-of-29   1.9 GB: 18-of-29   1.9 GB: 19-of-29   1.8 GB: 20-of-29   1.9 GB: 21-of-29   1.9 GB: 22-of-29   1.8 GB: 23-of-29   1.9 GB: 24-of-29   1.9 GB: 25-of-29   1.8 GB: 26-of-29   1.9 GB: 27-of-29   1.9 GB: 28-of-29   1.0 GB: 29-of-29
Model ArchitectureGemma2ForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.43.2
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than anthracite-forge/magnum-v3-27b-kto-r3.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227