What are the hardware requirements for Pythia 12B Sft V8 7K Steps?

Pythia 12B Sft V8 7K Steps 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 Sft V8 7K Steps and how large is it?

Pythia 12B Sft V8 7K Steps is developed by OpenAssistant, 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 Pythia 12B Sft V8 7K Steps perform on standard benchmarks?

Pythia 12B Sft V8 7K Steps has the following published scores: MMLU 26.55. Compare against reference models on this page or on the LLM Explorer leaderboards.

Pythia 12B Sft V8 7K Steps by OpenAssistant — VRAM 23.8GB, 2K context

Name: Pythia 12B Sft V8 7K Steps
Author: OpenAssistant

Pythia 12B Sft V8 7K Steps is an open-source language model by OpenAssistant. Features: 12b LLM, VRAM: 23.8GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.11, Arc: 44, HellaSwag: 70.3, MMLU: 26.6, GSM8K: 10.6.

En Endpoints compatible Gpt neox Pytorch Region:us Sft Sharded

Model Card on HF 🤗: https://huggingface.co/OpenAssistant/pythia-12b-sft-v8-7k-steps

Pythia 12B Sft V8 7K Steps Parameters and Internals

Model Type

text generation

Supported Languages

en (fluent), bg (basic), ca (basic), cs (basic), da (basic), de (fluent), es (fluent), fr (fluent), hr (basic), hu (basic), it (fluent), nl (basic), pl (basic), pt (basic), ro (basic), ru (basic), sl (basic), sr (basic), sv (basic), uk (basic)

Training Details

Data Sources:

oasst_export, vicuna, dolly15k, grade_school_math_instructions, code_alpaca, red_pajama, wizardlm_70k, poem_instructions

Data Volume:

2023-05-06_OASST_labels.jsonl.gz

Context Length:

2048

LLM Name	Pythia 12B Sft V8 7K Steps
Repository 🤗	https://huggingface.co/OpenAssistant/pythia-12b-sft-v8-7k-steps
Model Size	12b
Required VRAM	23.8 GB
Updated	2026-05-15
Maintainer	OpenAssistant
Model Type	gpt_neox
Model Files	10.0 GB: 1-of-3 9.9 GB: 2-of-3 3.9 GB: 3-of-3
Supported Languages	en
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 Pythia 12B Sft V8 7K Steps 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 Sft V8 7K Steps

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
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 OpenAssistant/pythia-12b-sft-v8-7k-steps.