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NotHumpback M0 by Alepach

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  Arxiv:2308.06259   Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/llama-3....   Conversational   Dataset:openassistant/oasst1   Endpoints compatible   Generated from trainer   Llama   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl
Model Card on HF 🤗: https://huggingface.co/Alepach/notHumpback-M0 

NotHumpback M0 Benchmarks

MMLU Pro: 1.32
MUSR: 2.84
BBH: 1.28
IFEval: 23.5 vs 88 (so35)-73.3%
MATH Lvl 5: 1.51
LLME Score: 0.29497
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
NotHumpback M0 (Alepach/notHumpback-M0)

NotHumpback M0 Parameters and Internals

LLM NameNotHumpback M0
Repository 🤗https://huggingface.co/Alepach/notHumpback-M0 
Model NamenotHumpback-M0
Base Model(s)  meta-llama/Llama-3.2-3B   meta-llama/Llama-3.2-3B
Model Size3b
Required VRAM6.5 GB
Updated2025-01-20
MaintainerAlepach
Model Typellama
Model Files  5.0 GB: 1-of-2   1.5 GB: 2-of-2   0.0 GB
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.46.3
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Alepach/notHumpback-M0.

Rank the NotHumpback M0 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  
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Multi-Language Support and Translation  

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Release v20241227
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