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MS3.1 24B Magnum Diamond by Doctor-Shotgun

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  Autotrain compatible   Axolotl Base model:finetune:mistralai/... Base model:mistralai/mistral-s...   Chat   Conversational   En   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Doctor-Shotgun/MS3.1-24B-Magnum-Diamond 

MS3.1 24B Magnum Diamond Benchmarks

LLME Score: 0.27729
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MS3.1 24B Magnum Diamond (Doctor-Shotgun/MS3.1-24B-Magnum-Diamond)
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MS3.1 24B Magnum Diamond Parameters and Internals

LLM NameMS3.1 24B Magnum Diamond
Repository 🤗https://huggingface.co/Doctor-Shotgun/MS3.1-24B-Magnum-Diamond 
Base Model(s)  mistralai/Mistral-Small-3.1-24B-Instruct-2503   mistralai/Mistral-Small-3.1-24B-Instruct-2503
Model Size24b
Required VRAM47.3 GB
Updated2025-07-10
MaintainerDoctor-Shotgun
Model Typemistral
Instruction-BasedYes
Model Files  4.8 GB: 1-of-10   4.8 GB: 2-of-10   4.8 GB: 3-of-10   4.9 GB: 4-of-10   4.8 GB: 5-of-10   4.8 GB: 6-of-10   4.9 GB: 7-of-10   4.8 GB: 8-of-10   4.8 GB: 9-of-10   3.9 GB: 10-of-10
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.51.3
Tokenizer ClassLlamaTokenizerFast
Padding Token<pad>
Vocabulary Size131072
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Doctor-Shotgun/MS3.1-24B-Magnum-Diamond.

Rank the MS3.1 24B Magnum Diamond 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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