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Lucid V1 Nemo by dreamgen

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  Autotrain compatible   Axolotl Base model:finetune:mistralai/... Base model:mistralai/mistral-n...   En   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow   Torchtune   Unsloth
Model Card on HF 🤗: https://huggingface.co/dreamgen/lucid-v1-nemo 

Lucid V1 Nemo Benchmarks

LLME Score: 0.33489
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Lucid V1 Nemo Parameters and Internals

LLM NameLucid V1 Nemo
Repository 🤗https://huggingface.co/dreamgen/lucid-v1-nemo 
Base Model(s)  Mistral Nemo Base 2407   mistralai/Mistral-Nemo-Base-2407
Model Size12.2b
Required VRAM24.5 GB
Updated2025-06-11
Maintainerdreamgen
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
Model ArchitectureMistralForCausalLM
Licenseother
Context Length131072
Model Max Length131072
Transformers Version4.49.0
Tokenizer ClassPreTrainedTokenizer
Padding Token<pad>
Vocabulary Size131077
Torch Data Typebfloat16
Lucid V1 Nemo (dreamgen/lucid-v1-nemo)

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Rank the Lucid V1 Nemo 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 v20241124
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