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Oasst Pythia 12B Reference by dvruette

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Oasst Pythia 12B Reference is an open-source language model by dvruette. Features: 12b LLM, VRAM: 23.8GB, Context: 2K, LLM Explorer Score: 0.11, Arc: 43, HellaSwag: 67.9, MMLU: 28.3, GSM8K: 1.2.

  Endpoints compatible   Gpt neox   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/dvruette/oasst-pythia-12b-reference 

Oasst Pythia 12B Reference Benchmarks

ARC: 43 vs 96.7 (so35)-55.5%
HellaSwag: 67.91 vs 95.3 (gpt4)-28.7%
MMLU: 28.33 vs 88.3 (so35)-67.9%
GSM8K: 1.21 vs 96.4 (so35)-98.7%
LLME Score: 0.11139
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Oasst Pythia 12B Reference (dvruette/oasst-pythia-12b-reference)
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Oasst Pythia 12B Reference Parameters and Internals

Model Type 
text generation
Training Details 
Data Sources:
Publicly available datasets
Methodology:
Supervised fine-tuning
Model Architecture:
Transformer-based
Input Output 
Input Format:
Text input
Accepted Modalities:
text
Output Format:
Text output
LLM NameOasst Pythia 12B Reference
Repository 🤗https://huggingface.co/dvruette/oasst-pythia-12b-reference 
Model Size12b
Required VRAM23.8 GB
Updated2026-05-06
Maintainerdvruette
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
Context Length2048
Model Max Length2048
Transformers Version4.28.0.dev0
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50288
Torch Data Typefloat16

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Dolly V2 12B2K / 23.8 GB32831955
...sst Sft 4 Pythia 12B Epoch 3.52K / 23.8 GB5672368
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Oasst Rl 1 Pythia 12B2K / 23.8 GB84
...st Sft 3 Pythia 12B Epoch 2.352K / 23.8 GB90
Pythia 12B Deduped2K / 23.8 GB1557053
Oasst Sft 1 Pythia 12B2K / 23.8 GB603277
Pythia 12B Sft V8 7K Steps2K / 23.8 GB110622
...ythia 12B Sft V8 Rlhf 2K Steps2K / 23.8 GB10010
H2ogpt Oasst1 512 12B2K / 23.9 GB42129
Note: green Score (e.g. "73.2") means that the model is better than dvruette/oasst-pythia-12b-reference.

Rank the Oasst Pythia 12B Reference 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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