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Pythia 160M Ft CookingRecipes by onlineeric

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Pythia 160M Ft CookingRecipes is an open-source language model by onlineeric. Features: 160m LLM, VRAM: 0.6GB, Context: 2K, License: mit, LLM Explorer Score: 0.13.

  Endpoints compatible   Gpt neox   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/onlineeric/pythia-160m_ft_CookingRecipes 

Pythia 160m Ft CookingRecipes Benchmarks

LLME Score: 0.13359
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Pythia 160M Ft CookingRecipes (onlineeric/pythia-160m_ft_CookingRecipes)
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Pythia 160M Ft CookingRecipes Parameters and Internals

Additional Notes 
This model is part of a personal learning project by Eric, based on EleutherAI's pythia-160m and trained on the CookingRecipes dataset.
Training Details 
Data Sources:
CodeKapital/CookingRecipes
Data Volume:
first 10,000 records
Methodology:
fine-tuning
LLM NamePythia 160m Ft CookingRecipes
Repository 🤗https://huggingface.co/onlineeric/pythia-160m_ft_CookingRecipes 
Model Size160m
Required VRAM0.6 GB
Updated2026-05-18
Maintaineronlineeric
Model Typegpt_neox
Model Files  0.6 GB   0.0 GB
Model ArchitectureGPTNeoXForCausalLM
Licensemit
Context Length2048
Model Max Length2048
Transformers Version4.41.0
Tokenizer ClassGPTNeoXTokenizer
Padding Token<|endoftext|>
Vocabulary Size50304
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than onlineeric/pythia-160m_ft_CookingRecipes.

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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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