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NaturalLM by qingy2019

 »  All LLMs  »  qingy2019  »  NaturalLM   URL Share it on

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  4bit   Autotrain compatible   En   Endpoints compatible   Mistral   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/qingy2019/NaturalLM 

NaturalLM Benchmarks

LLME Score: 0.27842
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
NaturalLM (qingy2019/NaturalLM)

NaturalLM Parameters and Internals

LLM NameNaturalLM
Repository 🤗https://huggingface.co/qingy2019/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
Updated2024-12-04
Maintainerqingy2019
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

Best Alternatives to NaturalLM

Best Alternatives
Context / RAM
Downloads
Likes
NaturalLM1000K / 24.5 GB1956
...d 1.0 Nemo Base 2407 Ita 16bit1000K / 24.5 GB6300
Nemo Carpmuscle V0.11000K / 24.5 GB241
... Mistral Nemo Base 2407 Sft V11000K / 24.5 GB491
...all MathMistral Nemo Base 24071000K / 24.5 GB231
Luca MN Bf16128K / 24.5 GB170
Violet Twilight V0.21000K / 24.5 GB110619
...ish Mistral Nemo Instruct 24071000K / 24.5 GB772
Mistral Nemo Kurdish Instruct1000K / 24.5 GB2582
Mistral Nemo Kurdish1000K / 24.5 GB632
Note: green Score (e.g. "73.2") means that the model is better than qingy2019/NaturalLM.

Rank the NaturalLM 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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