What are the hardware requirements for Bloom 1B Quantized?

Bloom 1B Quantized requires approximately 1.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Bloom 1B Quantized and how large is it?

Bloom 1B Quantized is developed by FabbriSimo01, a model with 1b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Bloom 1B Quantized perform on standard benchmarks?

Bloom 1B Quantized has the following published scores: MMLU 26.28. Compare against reference models on this page or on the LLM Explorer leaderboards.

Bloom 1B Quantized by FabbriSimo01 — VRAM 1.4GB

Name: Bloom 1B Quantized
Author: FabbriSimo01

Bloom 1B Quantized is an open-source language model by FabbriSimo01. Features: 1b LLM, VRAM: 1.4GB, License: bigscience-bloom-rail-1.0, LLM Explorer Score: 0.12, Arc: 27.7, HellaSwag: 42.8, MMLU: 26.3, GSM8K: 0.2.

8-bit Bloom Endpoints compatible Pytorch Region:us

Model Card on HF 🤗: https://huggingface.co/FabbriSimo01/Bloom_1b_Quantized

Bloom 1B Quantized Parameters and Internals

LLM Name	Bloom 1b Quantized
Repository 🤗	https://huggingface.co/FabbriSimo01/Bloom_1b_Quantized
Model Size	1b
Required VRAM	1.4 GB
Updated	2026-08-02
Maintainer	FabbriSimo01
Model Type	bloom
Model Files	1.4 GB
Model Architecture	BloomForCausalLM
License	bigscience-bloom-rail-1.0
Transformers Version	4.31.0.dev0
Tokenizer Class	BloomTokenizer
Padding Token	<pad>
Vocabulary Size	250880
Torch Data Type	float16

Rank the Bloom 1B Quantized capabilities

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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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