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PiVoT 10.7B Mistral V0.2 by maywell

 »  All LLMs  »  maywell  »  PiVoT 10.7B Mistral V0.2   URL Share it on

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  Autotrain compatible   Conversational   En   Endpoints compatible   Ko   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/maywell/PiVoT-10.7B-Mistral-v0.2 

PiVoT 10.7B Mistral V0.2 Benchmarks

ARC: 63.31 vs 96.7 (so35)-34.5%
HellaSwag: 81.68 vs 95.3 (gpt4)-14.3%
MMLU: 59.86 vs 88.3 (so35)-32.2%
TruthfulQA: 58.23 vs 59 (gpt4)-1.3%
WinoGrande: 80.03 vs 87.5 (gpt4)-8.5%
GSM8K: 42.38 vs 96.4 (so35)-56%
LLME Score: 0.19452
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
PiVoT 10.7B Mistral V0.2 (maywell/PiVoT-10.7B-Mistral-v0.2)

PiVoT 10.7B Mistral V0.2 Parameters and Internals

Model Type 
text-generation
Additional Notes 
PivoT is a finetuned model based on a merge of Mistral 0.2.
Supported Languages 
en (English), ko (Korean)
Training Details 
Methodology:
SFT + DPO
LLM NamePiVoT 10.7B Mistral V0.2
Repository 🤗https://huggingface.co/maywell/PiVoT-10.7B-Mistral-v0.2 
Model Size10.7b
Required VRAM21.4 GB
Updated2025-03-12
Maintainermaywell
Model Typemistral
Model Files  4.9 GB: 1-of-5   5.0 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   1.7 GB: 5-of-5
Supported Languagesen ko
Model ArchitectureMistralForCausalLM
Licensecc-by-sa-4.0
Context Length32768
Model Max Length32768
Transformers Version4.36.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the PiVoT 10.7B Mistral V0.2

Model
Likes
Downloads
VRAM
PiVoT 10.7B Mistral V0.2 GGUF51684 GB
PiVoT 10.7B Mistral V0.2 AWQ2676 GB
PiVoT 10.7B Mistral V0.2 GPTQ3436 GB

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Rank the PiVoT 10.7B Mistral V0.2 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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