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Longcat 10.7B by SanjiWatsuki

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  Autotrain compatible Base model:finetune:rishiraj/c... Base model:rishiraj/catppt-bas...   En   Endpoints compatible   Merge   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/SanjiWatsuki/longcat-10.7B 

Longcat 10.7B Benchmarks

ARC: 64.59 vs 96.7 (so35)-33.2%
HellaSwag: 85.85 vs 95.3 (gpt4)-9.9%
MMLU: 61.77 vs 88.3 (so35)-30%
TruthfulQA: 61.42 vs 59 (gpt4)4.1%
WinoGrande: 76.16 vs 87.5 (gpt4)-13%
GSM8K: 46.1 vs 96.4 (so35)-52.2%
LLME Score: 0.17809
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Longcat 10.7B (SanjiWatsuki/longcat-10.7B)

Longcat 10.7B Parameters and Internals

Model Type 
merge, Interwoven Depth Up-Scaling, Mistral-7B
Additional Notes 
Do not attempt to merge with other 10.7Bs due to layer mismatch. Developed with humor referring to creating a 'longcat'.
Supported Languages 
en (full)
Training Details 
Methodology:
Merging using a new process called Interwoven Depth Up-Scaling
Model Architecture:
Mistral architecture with Interwoven Depth Up-Scaling
LLM NameLongcat 10.7B
Repository 🤗https://huggingface.co/SanjiWatsuki/longcat-10.7B 
Base Model(s)  CatPPT Base   rishiraj/CatPPT-base
Model Size10.7b
Required VRAM21.5 GB
Updated2024-12-22
MaintainerSanjiWatsuki
Model Typemistral
Model Files  10.0 GB: 1-of-3   10.0 GB: 2-of-3   1.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than SanjiWatsuki/longcat-10.7B.

Rank the Longcat 10.7B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Release v20241217
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