Mistral NeMo Minitron 8B Chat by rasyosef

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  Autotrain compatible Base model:finetune:nvidia/mis... Base model:nvidia/mistral-nemo...   Conversational   Dataset:teknium/openhermes-2.5   Endpoints compatible   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow

Mistral NeMo Minitron 8B Chat Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral NeMo Minitron 8B Chat (rasyosef/Mistral-NeMo-Minitron-8B-Chat)

Mistral NeMo Minitron 8B Chat Parameters and Internals

Model Type 
text-generation
Additional Notes 
Best suited for prompts using chat format.
Training Details 
Data Sources:
teknium/OpenHermes-2.5
Data Volume:
32k instruction-response pairs
Methodology:
supervised fine-tuning
Input Output 
Input Format:
chat format
Accepted Modalities:
text
LLM NameMistral NeMo Minitron 8B Chat
Repository ๐Ÿค—https://huggingface.co/rasyosef/Mistral-NeMo-Minitron-8B-Chat 
Base Model(s)  Mistral NeMo Minitron 8B Base   nvidia/Mistral-NeMo-Minitron-8B-Base
Model Size8b
Required VRAM16.8 GB
Updated2024-12-21
Maintainerrasyosef
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
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|im_end|>
Vocabulary Size131074
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than rasyosef/Mistral-NeMo-Minitron-8B-Chat.

Rank the Mistral NeMo Minitron 8B Chat 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 v20241217