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Pythia 410M Sft Full by nnheui

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Pythia 410M Sft Full is an open-source language model by nnheui. Features: 410m LLM, VRAM: 0.8GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.16, Arc: 26.1, HellaSwag: 39.9, MMLU: 25.3, GSM8K: 1.3.

  Alignment-handbook Base model:eleutherai/pythia-4... Base model:finetune:eleutherai...   Conversational Dataset:huggingfaceh4/ultracha...   Endpoints compatible   Generated from trainer   Gpt neox   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/nnheui/pythia-410m-sft-full 

Pythia 410M Sft Full Benchmarks

ARC: 26.11 vs 96.7 (so35)-73%
HellaSwag: 39.92 vs 95.3 (gpt4)-58.1%
MMLU: 25.28 vs 88.3 (so35)-71.4%
GSM8K: 1.29 vs 96.4 (so35)-98.7%
LLME Score: 0.16423
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Pythia 410M Sft Full (nnheui/pythia-410m-sft-full)
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Pythia 410M Sft Full Parameters and Internals

Training Details 
Methodology:
fine-tuned
Hardware Used:
multi-GPU, 4 devices
LLM NamePythia 410M Sft Full
Repository 🤗https://huggingface.co/nnheui/pythia-410m-sft-full 
Base Model(s)  Pythia 410M   EleutherAI/pythia-410m
Model Size410m
Required VRAM0.8 GB
Updated2026-05-20
Maintainernnheui
Model Typegpt_neox
Model Files  0.8 GB
Model ArchitectureGPTNeoXForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.36.2
Tokenizer ClassGPTNeoXTokenizer
Padding Token<|endoftext|>
Vocabulary Size50304
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than nnheui/pythia-410m-sft-full.

Rank the Pythia 410M Sft Full Capabilities

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