NaturalLM by qingy2024

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  4bit   Autotrain compatible   En   Endpoints compatible   Mistral   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF ๐Ÿค—: https://huggingface.co/qingy2024/NaturalLM 

NaturalLM Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
NaturalLM (qingy2024/NaturalLM)

NaturalLM Parameters and Internals

LLM NameNaturalLM
Repository ๐Ÿค—https://huggingface.co/qingy2024/NaturalLM 
Base Model(s)  unsloth/mistral-nemo-base-2407-bnb-4bit   unsloth/mistral-nemo-base-2407-bnb-4bit
Model Size12.2b
Required VRAM24.5 GB
Updated2024-12-22
Maintainerqingy2024
Model Typemistral
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
Supported Languagesen
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length1024000
Model Max Length1024000
Transformers Version4.46.3
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<pad>
Vocabulary Size131072
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than qingy2024/NaturalLM.

Rank the NaturalLM Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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