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Oasst Sft 3 Pythia 12B Epoch 2.35 by andreaskoepf

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Oasst Sft 3 Pythia 12B Epoch 2.35 is an open-source language model by andreaskoepf. Features: 12b LLM, VRAM: 23.8GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.16, ELO: 1022.

  Endpoints compatible   Gpt neox   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/andreaskoepf/oasst-sft-3-pythia-12b-epoch-2.35 

Oasst Sft 3 Pythia 12B Epoch 2.35 Benchmarks

LMSys ELO: 1022 vs 1272 (so35)-19.7%
LLME Score: 0.1639
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Oasst Sft 3 Pythia 12B Epoch 2.35 (andreaskoepf/oasst-sft-3-pythia-12b-epoch-2.35)
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Oasst Sft 3 Pythia 12B Epoch 2.35 Parameters and Internals

Model Type 
text generation
Supported Languages 
en (unknown), es (unknown), de (unknown), fr (unknown)
Training Details 
Data Sources:
oasst_export, alpaca, oig_file
Methodology:
Supervised finetuning
Context Length:
2048
Model Architecture:
Pythia 12B
LLM NameOasst Sft 3 Pythia 12B Epoch 2.35
Repository 🤗https://huggingface.co/andreaskoepf/oasst-sft-3-pythia-12b-epoch-2.35 
Model Size12b
Required VRAM23.8 GB
Updated2026-07-05
Maintainerandreaskoepf
Model Typegpt_neox
Model Files  9.8 GB: 1-of-3   9.9 GB: 2-of-3   4.1 GB: 3-of-3
Model ArchitectureGPTNeoXForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.26.1
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50288
Torch Data Typefloat16

Best Alternatives to Oasst Sft 3 Pythia 12B Epoch 2.35

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Dolly V2 12B2K / 23.8 GB32831955
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Oasst Rl 1 Pythia 12B2K / 23.8 GB84
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
Oasst Pythia 12B Reference2K / 23.8 GB14420
H2ogpt Oasst1 512 12B2K / 23.9 GB42129
Note: green Score (e.g. "73.2") means that the model is better than andreaskoepf/oasst-sft-3-pythia-12b-epoch-2.35.

Rank the Oasst Sft 3 Pythia 12B Epoch 2.35 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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