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Neptuno 3B by Sakalti

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  Merged Model   Arxiv:2306.01708   Autotrain compatible Base model:finetune:spestly/at...   Base model:spestly/athena-1-3b   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Sakalti/Neptuno-3B 

Neptuno 3B Benchmarks

MMLU Pro: 30.81
GPQA: 6.15
MUSR: 7.86
BBH: 27.48
IFEval: 42.96 vs 88 (so35)-51.2%
MATH Lvl 5: 10.8
LLME Score: 0.31829
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Neptuno 3B (Sakalti/Neptuno-3B)

Neptuno 3B Parameters and Internals

LLM NameNeptuno 3B
Repository 🤗https://huggingface.co/Sakalti/Neptuno-3B 
Base Model(s)  Athena 1 3B   Sakalti/Light-3B   Spestly/Athena-1-3B   Sakalti/Light-3B
Merged ModelYes
Model Size3b
Required VRAM6.8 GB
Updated2025-02-05
MaintainerSakalti
Model Typeqwen2
Model Files  3.0 GB: 1-of-3   3.0 GB: 2-of-3   0.8 GB: 3-of-3
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.46.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

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Light 3B32K / 6.9 GB3472
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Calme 3.2 Baguette 3B32K / 11 GB29101
Note: green Score (e.g. "73.2") means that the model is better than Sakalti/Neptuno-3B.

Rank the Neptuno 3B 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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