What are the hardware requirements for Opt 1.3B?

Opt 1.3B requires approximately 2.6 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 Opt 1.3B and how large is it?

Opt 1.3B is developed by facebook, a model with 1.3b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Opt 1.3B perform on standard benchmarks?

Opt 1.3B has the following published scores: MMLU 24.96. Compare against reference models on this page or on the LLM Explorer leaderboards.

Opt 1.3B by facebook — VRAM 2.6GB, 2K context

Name: Opt 1.3B
Author: facebook

Opt 1.3B is an open-source language model by facebook. Features: 1.3b LLM, VRAM: 2.6GB, Context: 2K, License: other, LLM Explorer Score: 0.13, Arc: 29.5, HellaSwag: 54.5, MMLU: 25, GSM8K: 0.2.

Arxiv:2005.14165 Arxiv:2205.01068 Deploy:azure En Jax Opt Pytorch Region:us Tf

Model Card on HF 🤗: https://huggingface.co/facebook/opt-1.3b

Opt 1.3B Parameters and Internals

Model Type

decoder-only, causal language model

Use Cases

Areas:

research, evaluation of downstream tasks, text generation

Primary Use Cases:

text generation, evaluation of downstream tasks, fine-tuning

Limitations:

The model has biases due to unfiltered web data, Quality issues in generation diversity and hallucination

Supported Languages

English (Predominantly), Non-English (Minimal)

Training Details

Data Sources:

BookCorpus, CC-Stories, The Pile, Pushshift.io Reddit dataset, CCNewsV2

Data Volume:

180B tokens

Methodology:

Causal language modeling

Context Length:

2048

Training Time:

~33 days

Hardware Used:

992 80GB A100 GPUs

Model Architecture:

Decoder-only pre-trained transformer

Input Output

Input Format:

Sequences of 2048 tokens

Accepted Modalities:

text

Output Format:

Text generation

LLM Name	Opt 1.3B
Repository 🤗	https://huggingface.co/facebook/opt-1.3b
Model Size	1.3b
Required VRAM	2.6 GB
Updated	2026-08-02
Maintainer	facebook
Model Type	opt
Model Files	2.6 GB
Supported Languages	en
Model Architecture	OPTForCausalLM
License	other
Context Length	2048
Model Max Length	2048
Transformers Version	4.21.0.dev0
Beginning of Sentence Token	</s>
End of Sentence Token	</s>
Unk Token	</s>
Vocabulary Size	50272
Torch Data Type	float16
Activation Function	relu
Errors	replace

Rank the Opt 1.3B 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

Quantized Models of the Opt 1.3B

Model	Likes	Downloads	VRAM
Opt 1.3B GPTQ 4bit G128	0	11	1 GB
Opt 1.3B Gptq 4bit	0	7	1 GB

Best Alternatives to Opt 1.3B

Best Alternatives	Context / RAM	Downloads	Likes
LLmRa 1.3B V2	2K / 5.3 GB	664	0
Sparse0.5 OPT 1.3	2K / 2.6 GB	871	0
... Distilled PromptKD Dolly V1.0	2K / 2.6 GB	7	0
New Galactica 1.3b Mcq	2K / 2.6 GB	5	0
... Galactica 1.3b DPO 0.1beta Ai	2K / 2.6 GB	4	1
New Galactica 1.3b Mcq Rag	2K / 2.6 GB	8	0
New Galactica 1.3b Mcq No Rag	2K / 2.6 GB	6	0
... Galactica 1.3b DPO 0.1beta Ai	2K / 2.6 GB	5	0
...tica 1.3b 0.1beta Ai Raft Top3	2K / 2.6 GB	8	0
...tica 1.3b 0.1beta Ai Raft Top4	2K / 2.6 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than facebook/opt-1.3b.