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SCE 3 24B by Cran-May

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  Merged Model   Arxiv:2408.07990   Autotrain compatible Base model:alsamcur123/mistral... Base model:huihui-ai/mistral-s... Base model:trashpanda-org/ms-2...   Conversational   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Cran-May/SCE-3-24B 

SCE 3 24B Benchmarks

MMLU Pro: 40.52
GPQA: 12.86
MUSR: 14.6
BBH: 42.28
IFEval: 54.65 vs 88 (so35)-37.9%
MATH Lvl 5: 18.81
LLME Score: 0.3341
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SCE 3 24B (Cran-May/SCE-3-24B)

SCE 3 24B Parameters and Internals

LLM NameSCE 3 24B
Repository 🤗https://huggingface.co/Cran-May/SCE-3-24B 
Base Model(s)  ...all3 24B InstructContinuedFine   MS 24B Instruct Mullein V0   ... 24B Instruct 2501 Abliterated   AlSamCur123/Mistral-Small3-24B-InstructContinuedFine   trashpanda-org/MS-24B-Instruct-Mullein-v0   huihui-ai/Mistral-Small-24B-Instruct-2501-abliterated
Merged ModelYes
Model Size24b
Required VRAM47.3 GB
Updated2025-03-22
MaintainerCran-May
Model Typemistral
Instruction-BasedYes
Model Files  4.9 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   3.8 GB: 10-of-10
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.48.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size131072
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Cran-May/SCE-3-24B.

Rank the SCE 3 24B 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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