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Monstral 123B V2 by MarsupialAI

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Model Card on HF 🤗: https://huggingface.co/MarsupialAI/Monstral-123B-v2 

Monstral 123B V2 Benchmarks

LLME Score: 0.23037
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Monstral 123B V2 (MarsupialAI/Monstral-123B-v2)

Monstral 123B V2 Parameters and Internals

LLM NameMonstral 123B V2
Repository 🤗https://huggingface.co/MarsupialAI/Monstral-123B-v2 
Merged ModelYes
Model Size123b
Required VRAM245.4 GB
Updated2025-06-01
MaintainerMarsupialAI
Model Typemistral
Model Files  15.5 GB: 1-of-16   16.0 GB: 2-of-16   15.9 GB: 3-of-16   15.9 GB: 4-of-16   15.9 GB: 5-of-16   16.0 GB: 6-of-16   15.9 GB: 7-of-16   15.9 GB: 8-of-16   15.9 GB: 9-of-16   16.0 GB: 10-of-16   15.9 GB: 11-of-16   15.9 GB: 12-of-16   15.9 GB: 13-of-16   16.0 GB: 14-of-16   15.9 GB: 15-of-16   6.9 GB: 16-of-16
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseother
Context Length131072
Model Max Length131072
Transformers Version4.46.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32768
Torch Data Typefloat16

Best Alternatives to Monstral 123B V2

Best Alternatives
Context / RAM
Downloads
Likes
Behemoth V1.2 Magnum V4 123B128K / 216.7 GB5374
Behemoth 123B V1.2128K / 226.4 GB31827
Gigaberg Mistral Large 123B128K / 222 GB92
Behemoth 123B V2128K / 221.6 GB1049
Behemoth 123B V2.2128K / 226.4 GB925
Behemoth 123B V2.1128K / 226.4 GB5910
Behemoth V2.2 Magnum V4 123B128K / 221.6 GB181
Cakrawala 123B128K / 222 GB173
Monstral 123B128K / 221.6 GB8826
Behemoth 123B V1.1128K / 226.4 GB11023
Note: green Score (e.g. "73.2") means that the model is better than MarsupialAI/Monstral-123B-v2.

Rank the Monstral 123B V2 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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Release v20241227
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