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Duet Minitron8b V0.5 by G-reen

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  Autotrain compatible   Conversational   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/G-reen/Duet_Minitron8b_v0.5 

Duet Minitron8b V0.5 Benchmarks

LLME Score: 0.21293
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Duet Minitron8b V0.5 (G-reen/Duet_Minitron8b_v0.5)

Duet Minitron8b V0.5 Parameters and Internals

Model Type 
text generation, multimodal
Additional Notes 
The model is a proof of concept and has been trained with unique data that might result in unexpected behavior in roleplaying contexts.
Training Details 
Data Sources:
https://huggingface.co/datasets/G-reen/Duet-v0.5, https://huggingface.co/datasets/deepmind/code_contests, https://huggingface.co/datasets/nothingiisreal/Reddit-Dirty-And-WritingPrompts, https://huggingface.co/datasets/Gryphe/Opus-WritingPrompts, https://huggingface.co/datasets/Gryphe/Sonnet3.5-SlimOrcaDedupCleaned, https://huggingface.co/datasets/lighteval/MATH-Hard
Methodology:
Special training methods to enable Duet-style responses and roleplay context understanding
Hardware Used:
free TPU on Kaggle
Input Output 
Input Format:
Llama3 Chat
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Writing in a Duet-style requiring narration alongside queries can improve output.
LLM NameDuet Minitron8b V0.5
Repository 🤗https://huggingface.co/G-reen/Duet_Minitron8b_v0.5 
Model Size8b
Required VRAM16.8 GB
Updated2025-02-22
MaintainerG-reen
Model Typemistral
Model Files  4.9 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   2.0 GB: 4-of-4
Model ArchitectureMistralForCausalLM
Licensecc-by-2.0
Context Length8192
Model Max Length8192
Transformers Version4.42.3
Tokenizer ClassPreTrainedTokenizerFast
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 G-reen/Duet_Minitron8b_v0.5.

Rank the Duet Minitron8b V0.5 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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