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Mistral Nemo BD RP by yuyouyu

 »  All LLMs  »  yuyouyu  »  Mistral Nemo BD RP   URL Share it on

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  Arxiv:2408.10903 Base model:finetune:mistralai/... Base model:mistralai/mistral-n...   Dataset:yuyouyu/beyonddialogue   En   Instruct   Mistral   Region:us   Role-playing   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/yuyouyu/Mistral-Nemo-BD-RP 

Mistral Nemo BD RP Benchmarks

LLME Score: 0.21372
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral Nemo BD RP (yuyouyu/Mistral-Nemo-BD-RP)

Mistral Nemo BD RP Parameters and Internals

LLM NameMistral Nemo BD RP
Repository 🤗https://huggingface.co/yuyouyu/Mistral-Nemo-BD-RP 
Base Model(s)  Mistral Nemo Instruct 2407   mistralai/Mistral-Nemo-Instruct-2407
Model Size12.2b
Required VRAM24.5 GB
Updated2025-02-22
Maintaineryuyouyu
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-5   4.9 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   4.9 GB: 5-of-5   0.0 GB   0.0 GB
Supported Languageszh en
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length1024000
Model Max Length1024000
Transformers Version4.44.0.dev0
Tokenizer ClassGPT2Tokenizer
Padding Token</s>
Vocabulary Size131072
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than yuyouyu/Mistral-Nemo-BD-RP.

Rank the Mistral Nemo BD RP Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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