What are the hardware requirements for Pythia 1B Self Kto Iter0?

Pythia 1B Self Kto Iter0 requires approximately 2 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 Pythia 1B Self Kto Iter0 and how large is it?

Pythia 1B Self Kto Iter0 is developed by DatPySci, a model with 1b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Pythia 1B Self Kto Iter0 perform on standard benchmarks?

Pythia 1B Self Kto Iter0 has the following published scores: MMLU 24.11. Compare against reference models on this page or on the LLM Explorer leaderboards.

Pythia 1B Self Kto Iter0 by DatPySci — VRAM 2GB, 2K context

Name: Pythia 1B Self Kto Iter0
Author: DatPySci

Pythia 1B Self Kto Iter0 is an open-source language model by DatPySci. Features: 1b LLM, VRAM: 2GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.16, Arc: 30.2, HellaSwag: 49.1, MMLU: 24.1, GSM8K: 1.8.

Alignment-handbook Base model:datpysci/pythia-1b-... Base model:finetune:datpysci/p... Conversational Dataset:datpysci/spin iter0 Endpoints compatible Generated from trainer Gpt neox Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/DatPySci/pythia-1b-self-kto-iter0

Pythia 1B Self Kto Iter0 Parameters and Internals

Additional Notes

More information is needed in terms of model description, intended uses, limitations, training and evaluation data.

Training Details

Data Sources:

DatPySci/SPIN_iter0

LLM Name	Pythia 1B Self Kto Iter0
Repository 🤗	https://huggingface.co/DatPySci/pythia-1b-self-kto-iter0
Base Model(s)	DatPySci/pythia-1b-sft-full DatPySci/pythia-1b-sft-full
Model Size	1b
Required VRAM	2 GB
Updated	2026-08-25
Maintainer	DatPySci
Model Type	gpt_neox
Model Files	2.0 GB 0.0 GB
Model Architecture	GPTNeoXForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.38.1
Tokenizer Class	GPTNeoXTokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	50304
Torch Data Type	bfloat16

Rank the Pythia 1B Self Kto Iter0 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

Best Alternatives to Pythia 1B Self Kto Iter0

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C2S Scale Pythia 1B Pt	8K / 0 GB	259	9
Pythia 2.8B Deduped Rp 710M 4K	4K / 11.7 GB	5	1
Pythia 1.4B Deduped Rp 420M 4K	4K / 6.1 GB	11	1
Pythia 1.4B Deduped Rp 280M 4K	4K / 6.1 GB	9	1
Chatml Test	2K / 2.1 GB	15	0
Pythia 1B Kto Iter0	2K / 2 GB	12	0
...eduped Tldr Preference Sft Trl	2K / 2 GB	14	0
...rAI Pythia 1B Deduped Sft Tldr	2K / 4 GB	3896	0
Pythia 1B	2K / 2.1 GB	173161	45
Pythia 1B Deduped Tldr Sft	2K / 2 GB	162	0

Note: green Score (e.g. "73.2") means that the model is better than DatPySci/pythia-1b-self-kto-iter0.