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Behemoth V1.1 Magnum V4 123B by knifeayumu

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  Merged Model   Autotrain compatible Base model:anthracite-org/magn... Base model:thedrummer/behemoth...   Conversational   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/knifeayumu/Behemoth-v1.1-Magnum-v4-123B 

Behemoth V1.1 Magnum V4 123B Benchmarks

LLME Score: 0.25496
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Behemoth V1.1 Magnum V4 123B (knifeayumu/Behemoth-v1.1-Magnum-v4-123B)

Behemoth V1.1 Magnum V4 123B Parameters and Internals

LLM NameBehemoth V1.1 Magnum V4 123B
Repository 🤗https://huggingface.co/knifeayumu/Behemoth-v1.1-Magnum-v4-123B 
Base Model(s)  Magnum V4 123B   TheDrummer/Behemoth-123B-v1.1   anthracite-org/magnum-v4-123b   TheDrummer/Behemoth-123B-v1.1
Merged ModelYes
Model Size123b
Required VRAM216.7 GB
Updated2024-12-26
Maintainerknifeayumu
Model Typemistral
Model Files  4.4 GB: 1-of-51   4.9 GB: 2-of-51   4.8 GB: 3-of-51   4.8 GB: 4-of-51   4.8 GB: 5-of-51   4.9 GB: 6-of-51   4.8 GB: 7-of-51   4.8 GB: 8-of-51   4.8 GB: 9-of-51   4.9 GB: 10-of-51   4.8 GB: 11-of-51   4.8 GB: 12-of-51   4.8 GB: 13-of-51   4.9 GB: 14-of-51   4.8 GB: 15-of-51   4.8 GB: 16-of-51   4.8 GB: 17-of-51   4.9 GB: 18-of-51   4.8 GB: 19-of-51   4.8 GB: 20-of-51   4.8 GB: 21-of-51   4.9 GB: 22-of-51   4.8 GB: 23-of-51   4.8 GB: 24-of-51   4.8 GB: 25-of-51   4.9 GB: 26-of-51   4.8 GB: 27-of-51   4.8 GB: 28-of-51   4.8 GB: 29-of-51   4.9 GB: 30-of-51   4.8 GB: 31-of-51   4.8 GB: 32-of-51   4.8 GB: 33-of-51   4.9 GB: 34-of-51   4.8 GB: 35-of-51   4.8 GB: 36-of-51   4.8 GB: 37-of-51   4.9 GB: 38-of-51   4.8 GB: 39-of-51   4.8 GB: 40-of-51   4.8 GB: 41-of-51   4.9 GB: 42-of-51   4.8 GB: 43-of-51   4.8 GB: 44-of-51   4.8 GB: 45-of-51
Model ArchitectureMistralForCausalLM
Licenseother
Context Length131072
Model Max Length131072
Transformers Version4.45.1
Vocabulary Size32768
Torch Data Typefloat16

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Behemoth 123B V2128K / 221.6 GB566
Note: green Score (e.g. "73.2") means that the model is better than knifeayumu/Behemoth-v1.1-Magnum-v4-123B.

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Release v20241227
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