What are the hardware requirements for Oasst Rl 1 Pythia 12B?

Oasst Rl 1 Pythia 12B requires approximately 23.8 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Oasst Rl 1 Pythia 12B and how large is it?

Oasst Rl 1 Pythia 12B is developed by andreaskoepf, a model with 12b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Oasst Rl 1 Pythia 12B perform on standard benchmarks?

Oasst Rl 1 Pythia 12B has the following published scores: LMSYS ELO 1023. Compare against reference models on this page or on the LLM Explorer leaderboards.

Oasst Rl 1 Pythia 12B by andreaskoepf — VRAM 23.8GB, 2K context

Name: Oasst Rl 1 Pythia 12B
Author: andreaskoepf

Oasst Rl 1 Pythia 12B 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: 1023.

Endpoints compatible Gpt neox Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/andreaskoepf/oasst-rl-1-pythia-12b

Oasst Rl 1 Pythia 12B Benchmarks

LMSys ELO 1023 vs 1272 (so35) -19.6%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Oasst Rl 1 Pythia 12B Parameters and Internals

LLM Name	Oasst Rl 1 Pythia 12B
Repository 🤗	https://huggingface.co/andreaskoepf/oasst-rl-1-pythia-12b
Model Size	12b
Required VRAM	23.8 GB
Updated	2026-08-02
Maintainer	andreaskoepf
Model Type	gpt_neox
Model Files	10.0 GB: 1-of-3 9.9 GB: 2-of-3 3.9 GB: 3-of-3
Model Architecture	GPTNeoXForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.28.0.dev0
Tokenizer Class	GPTNeoXTokenizer
Vocabulary Size	50288
Torch Data Type	float16

Rank the Oasst Rl 1 Pythia 12B capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to Oasst Rl 1 Pythia 12B

Best Alternatives	Context / RAM	Downloads	Likes
Dolly V2 12B	2K / 23.8 GB	3283	1955
...sst Sft 4 Pythia 12B Epoch 3.5	2K / 23.8 GB	818	368
Pythia 12B	2K / 23.8 GB	147000	145
...st Sft 3 Pythia 12B Epoch 2.35	2K / 23.8 GB	10	0
Pythia 12B Deduped	2K / 23.8 GB	4172	53
Oasst Sft 1 Pythia 12B	2K / 23.8 GB	301	277
Pythia 12B Sft V8 7K Steps	2K / 23.8 GB	1106	22
Oasst Pythia 12B Reference	2K / 23.8 GB	1442	0
H2ogpt Oasst1 512 12B	2K / 23.9 GB	242	29
Pythia 12B Pre V8.12.5K Steps	2K / 23.8 GB	76	6

Note: green Score (e.g. "73.2") means that the model is better than andreaskoepf/oasst-rl-1-pythia-12b.