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Pythia 12B Sft V8.2.5K Steps by OpenAssistant

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Pythia 12B Sft V8.2.5K Steps is an open-source language model by OpenAssistant. Features: 12b LLM, VRAM: 23.8GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.11, Arc: 42.3, HellaSwag: 70.2, MMLU: 27.4, GSM8K: 9.6.

  Endpoints compatible   Gpt neox   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/OpenAssistant/pythia-12b-sft-v8-2.5k-steps 

Pythia 12B Sft V8.2.5K Steps Benchmarks

ARC: 42.32 vs 96.7 (so35)-56.2%
HellaSwag: 70.15 vs 95.3 (gpt4)-26.4%
MMLU: 27.36 vs 88.3 (so35)-69%
GSM8K: 9.55 vs 96.4 (so35)-90.1%
LLME Score: 0.1149
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Pythia 12B Sft V8.2.5K Steps (OpenAssistant/pythia-12b-sft-v8-2.5k-steps)
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Pythia 12B Sft V8.2.5K Steps Parameters and Internals

Model Type 
text generation
Supported Languages 
bg (Bulgarian), ca (Catalan), cs (Czech), da (Danish), de (German), en (English), es (Spanish), fr (French), hr (Croatian), hu (Hungarian), it (Italian), nl (Dutch), pl (Polish), pt (Portuguese), ro (Romanian), ru (Russian), sl (Slovenian), sr (Serbian), sv (Swedish), uk (Ukrainian)
Training Details 
Data Sources:
oasst_export, vicuna, dolly15k, grade_school_math_instructions, code_alpaca, red_pajama, wizardlm_70k, poem_instructions
Methodology:
Supervised fine-tuning
Context Length:
2048
LLM NamePythia 12B Sft V8.2.5K Steps
Repository 🤗https://huggingface.co/OpenAssistant/pythia-12b-sft-v8-2.5k-steps 
Model Size12b
Required VRAM23.8 GB
Updated2026-05-18
MaintainerOpenAssistant
Model Typegpt_neox
Model Files  10.0 GB: 1-of-3   9.9 GB: 2-of-3   3.9 GB: 3-of-3
Model ArchitectureGPTNeoXForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.28.0.dev0
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50288
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than OpenAssistant/pythia-12b-sft-v8-2.5k-steps.

Rank the Pythia 12B Sft V8.2.5K Steps Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
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Text Generation  
Text Summarization and Feature Extraction  
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