SCE 24B by Cran-May

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  Merged Model   Arxiv:2408.07990   Autotrain compatible Base model:cognitivecomputatio... Base model:huihui-ai/mistral-s... Base model:trashpanda-org/ms-2... Base model:unsloth/mistral-sma...   Conversational   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/Cran-May/SCE-24B 

SCE 24B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SCE 24B (Cran-May/SCE-24B)

SCE 24B Parameters and Internals

LLM NameSCE 24B
Repository ๐Ÿค—https://huggingface.co/Cran-May/SCE-24B 
Base Model(s)  ...istral Small 24B Instruct 2501   MS 24B Mullein V0   ... 24B Instruct 2501 Abliterated   cognitivecomputations/Dolphin3.0-Mistral-24B   unsloth/Mistral-Small-24B-Instruct-2501   trashpanda-org/MS-24B-Mullein-v0   huihui-ai/Mistral-Small-24B-Instruct-2501-abliterated   cognitivecomputations/Dolphin3.0-Mistral-24B
Merged ModelYes
Model Size24b
Required VRAM47.3 GB
Updated2025-02-16
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
Padding Token<pad>
Vocabulary Size131074
Torch Data Typebfloat16

Best Alternatives to SCE 24B

Best Alternatives
Context / RAM
Downloads
Likes
...ral Nemo Instruct 24B Merge V11000K / 24.6 GB90
...l Small 24B Instruct 2501 Bf1632K / 46.9 GB1913
Saka 24B32K / 47.3 GB2520
SCE 2 24B32K / 47.3 GB460
SCE 3 24B32K / 47.3 GB350
MS 24B Instruct Mullein V032K / 47.3 GB145518
...istral Small 24B Instruct 250132K / 47.3 GB31954
Mistral Small 24B Base 250132K / 47.3 GB7533
...al Small 24B ArliAI RPMax V1.432K / 47.3 GB1123
...Small 24B Instruct 2501 S1 SFT32K / 47.3 GB151
Note: green Score (e.g. "73.2") means that the model is better than Cran-May/SCE-24B.

Rank the SCE 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227