What are the hardware requirements for Falcon H1 Tiny 90M Instruct?

Falcon H1 Tiny 90M Instruct requires approximately 0.2 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Falcon H1 Tiny 90M Instruct and how large is it?

Falcon H1 Tiny 90M Instruct is developed by tiiuae, a model with 90m 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 Falcon H1 Tiny 90M Instruct?

Falcon H1 Tiny 90M Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Falcon H1 Tiny 90M Instruct by tiiuae — VRAM 0.2GB, 256K context

Name: Falcon H1 Tiny 90M Instruct
Author: tiiuae

Falcon H1 Tiny 90M Instruct is an open-source language model by tiiuae. Features: 90m LLM, VRAM: 0.2GB, Context: 256K, License: other, Instruction-Based, LLM Explorer Score: 0.25.

Conversational Edge Endpoints compatible Falcon-h1 Falcon h1 Instruct Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/tiiuae/Falcon-H1-Tiny-90M-Instruct

Falcon H1 Tiny 90M Instruct Parameters and Internals

LLM Name	Falcon H1 Tiny 90M Instruct
Repository 🤗	https://huggingface.co/tiiuae/Falcon-H1-Tiny-90M-Instruct
Model Size	90m
Required VRAM	0.2 GB
Updated	2026-07-21
Maintainer	tiiuae
Model Type	falcon_h1
Instruction-Based	Yes
Model Files	0.2 GB
Model Architecture	FalconH1ForCausalLM
License	other
Context Length	262144
Model Max Length	262144
Transformers Version	4.57.0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|pad\|>
Vocabulary Size	32768

Rank the Falcon H1 Tiny 90M Instruct 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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