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M3.2 24B Loki V1.3 by CrucibleLab

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Base model:finetune:mistralai/... Base model:mistralai/mistral-s...   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/CrucibleLab/M3.2-24B-Loki-V1.3 

M3.2 24B Loki V1.3 Benchmarks

LLME Score: 0.28083
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
M3.2 24B Loki V1.3 (CrucibleLab/M3.2-24B-Loki-V1.3)
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M3.2 24B Loki V1.3 Parameters and Internals

LLM NameM3.2 24B Loki V1.3
Repository 🤗https://huggingface.co/CrucibleLab/M3.2-24B-Loki-V1.3 
Base Model(s)  mistralai/Mistral-Small-3.2-24B-Instruct-2506   mistralai/Mistral-Small-3.2-24B-Instruct-2506
Model Size24b
Required VRAM47.3 GB
Updated2025-08-26
MaintainerCrucibleLab
Model Typemistral
Instruction-BasedYes
Model Files  2.7 GB: 1-of-10   4.8 GB: 2-of-10   4.9 GB: 3-of-10   4.8 GB: 4-of-10   4.8 GB: 5-of-10   4.9 GB: 6-of-10   4.8 GB: 7-of-10   4.8 GB: 8-of-10   4.9 GB: 9-of-10   3.2 GB: 10-of-10   2.7 GB: 11-of-11
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.54.1
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 CrucibleLab/M3.2-24B-Loki-V1.3.

Rank the M3.2 24B Loki V1.3 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 v20241124
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