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Dolphin3.0 R1 Mistral 24B by cognitivecomputations

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Model Card on HF 🤗: https://huggingface.co/cognitivecomputations/Dolphin3.0-R1-Mistral-24B 

Dolphin3.0 R1 Mistral 24B Benchmarks

MMLU Pro: 22.28
GPQA: 5.93
MUSR: 7.23
BBH: 33.76
IFEval: 40.68 vs 88 (so35)-53.8%
MATH Lvl 5: 31.19
LLME Score: 0.45186
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Dolphin3.0 R1 Mistral 24B (cognitivecomputations/Dolphin3.0-R1-Mistral-24B)

Dolphin3.0 R1 Mistral 24B Parameters and Internals

LLM NameDolphin3.0 R1 Mistral 24B
Repository 🤗https://huggingface.co/cognitivecomputations/Dolphin3.0-R1-Mistral-24B 
Base Model(s)  Mistral Small 24B Base 2501   mistralai/Mistral-Small-24B-Base-2501
Model Size24b
Required VRAM47.3 GB
Updated2025-03-22
Maintainercognitivecomputations
Model Typemistral
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
Context Length32768
Model Max Length32768
Transformers Version4.48.1
Tokenizer ClassLlamaTokenizer
Padding Token<pad>
Vocabulary Size131074
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than cognitivecomputations/Dolphin3.0-R1-Mistral-24B.

Rank the Dolphin3.0 R1 Mistral 24B Capabilities

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Instruction Following and Task Automation  
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Release v20241227
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