What are the hardware requirements for Pythia 12B Pre 2000?

Pythia 12B Pre 2000 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 Pythia 12B Pre 2000 and how large is it?

Pythia 12B Pre 2000 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.

Where can I download or evaluate Pythia 12B Pre 2000?

Pythia 12B Pre 2000 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Pythia 12B Pre 2000 by andreaskoepf — VRAM 23.8GB, 2K context

Name: Pythia 12B Pre 2000
Author: andreaskoepf

Pythia 12B Pre 2000 is an open-source language model by andreaskoepf. Features: 12b LLM, VRAM: 23.8GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.06.

Endpoints compatible Gpt neox Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/andreaskoepf/pythia-12b-pre-2000

Pythia 12B Pre 2000 Parameters and Internals

Model Type

fp16

Additional Notes

Using Gradient Checkpointing and Flash Attention.

Training Details

Data Sources:

joke, webgpt, gpt4all, alpaca, code_alpaca, minimath, humaneval_mbpp_codegen_qa, humaneval_mbpp_testgen_qa, grade_school_math_instructions, recipes, cmu_wiki_qa, oa_wiki_qa_bart_10000row, prosocial_dialogue, explain_prosocial

Methodology:

Supervised finetuning using WarmupDecayLR.

Context Length:

2048

Hardware Used:

DeepSpeed 0.7.7, transformers 4.26.1

LLM Name	Pythia 12B Pre 2000
Repository 🤗	https://huggingface.co/andreaskoepf/pythia-12b-pre-2000
Model Size	12b
Required VRAM	23.8 GB
Updated	2026-07-02
Maintainer	andreaskoepf
Model Type	gpt_neox
Model Files	9.8 GB: 1-of-3 9.9 GB: 2-of-3 4.1 GB: 3-of-3
Model Architecture	GPTNeoXForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.26.1
Tokenizer Class	GPTNeoXTokenizer
Vocabulary Size	50288
Torch Data Type	float16

Rank the Pythia 12B Pre 2000 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 Pythia 12B Pre 2000

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
Oasst Rl 1 Pythia 12B	2K / 23.8 GB	10	4
...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

Note: green Score (e.g. "73.2") means that the model is better than andreaskoepf/pythia-12b-pre-2000.