What are the hardware requirements for Okapi Fr Bloom?

Okapi Fr Bloom requires approximately 18 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Okapi Fr Bloom and how large is it?

Okapi Fr Bloom is developed by uonlp. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Okapi Fr Bloom is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Name: Okapi Fr Bloom
Author: uonlp

Okapi Fr Bloom is an open-source language model by uonlp. Features: LLM, VRAM: 18GB, LLM Explorer Score: 0.07.

LLM Name	Okapi Fr Bloom
Repository 🤗	https://huggingface.co/uonlp/okapi-fr-bloom
Required VRAM	18 GB
Updated	2026-07-30
Maintainer	uonlp
Model Type	bloom
Model Files	11.7 GB: 1-of-2 6.3 GB: 2-of-2
Model Architecture	BloomForCausalLM
Transformers Version	4.29.2
Tokenizer Class	BloomTokenizer
Padding Token	<pad>
Vocabulary Size	250880
Torch Data Type	bfloat16

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	Context / RAM	Downloads	Likes
Firefly Bloom 7b1	0K / 16.2 GB	82	1
Firefly Bloom 2b6 V2	0K / 5 GB	54	9
Tiny Random BloomForCausalLM	0K / 0 GB	53937	0
Bloom 1b7 With Lm Head	0K / 3.4 GB	3598	0
Tiny Random BloomForCausalLM	0K / 0 GB	478	0
Bloom 1b1 RLHF V2	0K / 2.1 GB	60	0
ClinicalGPT Base Zh	0K / 15.8 GB	44	50
DElefant	0K / 12.5 GB	4	4
Okapi Da Bloom	0K / 16.2 GB	1	2
Pixiu V1.0	0K / 32.3 GB	4	2

Note: green Score (e.g. "73.2") means that the model is better than uonlp/okapi-fr-bloom.