What are the hardware requirements for Galactica 6.7B Finetuned?

Galactica 6.7B Finetuned requires approximately 27.4 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 Galactica 6.7B Finetuned and how large is it?

Galactica 6.7B Finetuned is developed by OpenAssistant, a model with 6.7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Galactica 6.7B Finetuned perform on standard benchmarks?

Galactica 6.7B Finetuned has the following published scores: MMLU 38.03. Compare against reference models on this page or on the LLM Explorer leaderboards.

Galactica 6.7B Finetuned by OpenAssistant — VRAM 27.4GB, 2K context

Name: Galactica 6.7B Finetuned
Author: OpenAssistant

Galactica 6.7B Finetuned is an open-source language model by OpenAssistant. Features: 6.7b LLM, VRAM: 27.4GB, Context: 2K, Fine-Tuned, LLM Explorer Score: 0.09, Arc: 41.6, HellaSwag: 51, MMLU: 38, GSM8K: 3.1.

Endpoints compatible Finetuned Opt Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/OpenAssistant/galactica-6.7b-finetuned

Galactica 6.7B Finetuned Parameters and Internals

Model Type

text generation

Additional Notes

The model is a finetuned version on webgpt and prompt_dialogue datasets, employed for improved language understanding and dialogue framing tasks.

Input Output

Accepted Modalities:

text

Output Format:

text

Performance Tips:

Enable gradient checkpointing and load model using 8-bit precision for optimized performance with lower memory usage.

LLM Name	Galactica 6.7B Finetuned
Repository 🤗	https://huggingface.co/OpenAssistant/galactica-6.7b-finetuned
Model Size	6.7b
Required VRAM	27.4 GB
Updated	2026-07-27
Maintainer	OpenAssistant
Model Type	opt
Model Files	10.0 GB: 1-of-3 9.9 GB: 2-of-3 7.5 GB: 3-of-3
Model Architecture	OPTForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.25.1
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	50002
Torch Data Type	float32
Activation Function	gelu

Rank the Galactica 6.7B Finetuned 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

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...7B Gqa Ub 16 Best For KV Cache	2K / 27.4 GB	190	0
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....7B Qcqa Ub 16 Best For Q Loss	2K / 27.4 GB	60	0
Galactica 6.7B ReFT GSM8k	2K / 13.8 GB	58	0
Galactica 6.7B EssayWriter	2K / 13.4 GB	55	5
Opt Flan Iml 6.7B	2K / 26.6 GB	131	1
Opt 6.7B	2K / 13.4 GB	120463	121
...lactica 6.7B Evol Instruct 70K	2K / 27.4 GB	129	19
OPT 6.7B Nerybus Mix	2K / 13.7 GB	125	20
OPI Galactica 6.7B	2K / 13.4 GB	116	6

Note: green Score (e.g. "73.2") means that the model is better than OpenAssistant/galactica-6.7b-finetuned.