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Magnum V4 123B by anthracite-org

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Model Card on HF 🤗: https://huggingface.co/anthracite-org/magnum-v4-123b 

Magnum V4 123B Benchmarks

LLME Score: 0.2123
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Magnum V4 123B (anthracite-org/magnum-v4-123b)

Magnum V4 123B Parameters and Internals

LLM NameMagnum V4 123B
Repository 🤗https://huggingface.co/anthracite-org/magnum-v4-123b 
Model Size123b
Required VRAM222 GB
Updated2025-04-29
Maintaineranthracite-org
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-51   4.8 GB: 2-of-51   4.9 GB: 3-of-51   4.8 GB: 4-of-51   4.8 GB: 5-of-51   4.8 GB: 6-of-51   4.9 GB: 7-of-51   4.8 GB: 8-of-51   4.8 GB: 9-of-51   4.8 GB: 10-of-51   4.9 GB: 11-of-51   4.8 GB: 12-of-51   4.8 GB: 13-of-51   4.8 GB: 14-of-51   4.9 GB: 15-of-51   4.8 GB: 16-of-51   4.8 GB: 17-of-51   4.8 GB: 18-of-51   4.9 GB: 19-of-51   4.8 GB: 20-of-51   4.8 GB: 21-of-51   4.8 GB: 22-of-51   4.9 GB: 23-of-51   4.8 GB: 24-of-51   4.8 GB: 25-of-51   4.8 GB: 26-of-51   4.9 GB: 27-of-51   4.8 GB: 28-of-51   4.8 GB: 29-of-51   4.8 GB: 30-of-51   4.9 GB: 31-of-51   4.8 GB: 32-of-51   4.8 GB: 33-of-51   4.8 GB: 34-of-51   4.9 GB: 35-of-51   4.8 GB: 36-of-51   4.8 GB: 37-of-51   4.8 GB: 38-of-51   4.9 GB: 39-of-51   4.8 GB: 40-of-51   4.8 GB: 41-of-51   4.8 GB: 42-of-51   4.9 GB: 43-of-51   4.8 GB: 44-of-51   4.8 GB: 45-of-51   4.8 GB: 46-of-51
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseother
Context Length131072
Model Max Length131072
Transformers Version4.45.0.dev0
Vocabulary Size32768
Torch Data Typebfloat16

Best Alternatives to Magnum V4 123B

Best Alternatives
Context / RAM
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Likes
Gigaberg Mistral Large 123B128K / 222 GB102
Behemoth 123B V2128K / 221.6 GB268
Cakrawala 123B128K / 222 GB63
Behemoth 123B V1128K / 221.6 GB3840
Lumikabra 123B V0.4128K / 216.7 GB8412
Magnum V2 123B128K / 207.6 GB1857
Magstral 123B128K / 221.6 GB50
Lumimaid V0.2 123B128K / 217.2 GB4135
Tess 3 Mistral Large 2 123B128K / 217.2 GB1022
ML MS Etheris 123B32K / 226.4 GB153
Note: green Score (e.g. "73.2") means that the model is better than anthracite-org/magnum-v4-123b.

Rank the Magnum V4 123B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Text Summarization and Feature Extraction  
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Multi-Language Support and Translation  

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Release v20241227
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