What are the hardware requirements for OPI Galactica 6.7B?

OPI Galactica 6.7B requires approximately 13.4 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 OPI Galactica 6.7B and how large is it?

OPI Galactica 6.7B is developed by BAAI, 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.

Where can I download or evaluate OPI Galactica 6.7B?

OPI Galactica 6.7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

OPI Galactica 6.7B by BAAI — VRAM 13.4GB, 2K context

Name: OPI Galactica 6.7B
Author: BAAI

OPI Galactica 6.7B is an open-source language model by BAAI. Features: 6.7b LLM, VRAM: 13.4GB, Context: 2K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.08.

Ai4science Base model:facebook/galactica-... Base model:finetune:facebook/g... Biology Dataset:baai/opi En Endpoints compatible Instruct Instruction Life science Opt Protein Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/BAAI/OPI-Galactica-6.7B

OPI Galactica 6.7B Parameters and Internals

Model Type

text-generation

Supported Languages

en (proficient)

Training Details

Data Sources:

BAAI/OPI

Data Volume:

1.61 million samples

Methodology:

Fine-tuning

LLM Name	OPI Galactica 6.7B
Repository 🤗	https://huggingface.co/BAAI/OPI-Galactica-6.7B
Base Model(s)	facebook/galactica-6.7b facebook/galactica-6.7b
Model Size	6.7b
Required VRAM	13.4 GB
Updated	2026-08-25
Maintainer	BAAI
Model Type	opt
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-3 5.0 GB: 2-of-3 3.4 GB: 3-of-3 0.0 GB
Supported Languages	en
Model Architecture	OPTForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.41.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<pad>
Vocabulary Size	50000
Torch Data Type	bfloat16
Activation Function	gelu

Rank the OPI Galactica 6.7B 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 OPI Galactica 6.7B

Best Alternatives	Context / RAM	Downloads	Likes
Galactica 6.7B EssayWriter	2K / 13.4 GB	55	5
Opt Flan Iml 6.7B	2K / 26.6 GB	131	1
...lactica 6.7B Evol Instruct 70K	2K / 27.4 GB	129	19
Ev Glaive Math	2K / 27.4 GB	6	0
Ev Glaive Math1	2K / 27.4 GB	5	0
Open Instruct Opt 6.7B Tulu	2K / 26.6 GB	43	2
LongForm OPT 6.7B	2K / 13.3 GB	15	4
...PT 6.7B Erebus Instruct Follow	2K / 13.8 GB	11	3

Note: green Score (e.g. "73.2") means that the model is better than BAAI/OPI-Galactica-6.7B.