What are the hardware requirements for Tiny Aya 3.3B L2 Thinker BF16 GGUF?

Tiny Aya 3.3B L2 Thinker BF16 GGUF requires approximately 6.7 GB of VRAM and supports a context window of 4882K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Tiny Aya 3.3B L2 Thinker BF16 GGUF and how large is it?

Tiny Aya 3.3B L2 Thinker BF16 GGUF is developed by AMAImedia, a model with 3.3b 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 Tiny Aya 3.3B L2 Thinker BF16 GGUF?

Tiny Aya 3.3B L2 Thinker BF16 GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Tiny Aya 3.3B L2 Thinker BF16 GGUF by AMAImedia — VRAM 6.7GB, 4882K context

Name: Tiny Aya 3.3B L2 Thinker BF16 GGUF
Author: AMAImedia

Tiny Aya 3.3B L2 Thinker BF16 GGUF is an open-source language model by AMAImedia. Features: 3.3b LLM, VRAM: 6.7GB, Context: 4882K, License: cc-by-nc-4.0, Quantized, LLM Explorer Score: 0.28.

Am Ar Aya Base model:coherelabs/tiny-aya... Base model:quantized:coherelab... Bg Bn Ca Cohere2 Conversational Cs De El En Endpoints compatible Eu Fa Fi Fil Fr Ga Gguf Ha He Hi Hu Id Ig It Ja Jv Km Ko Lt Ms Mt Multilingual No Pa Pl Quantized Reasoning Region:us Ru Safetensors Sharded Sk Sw Ta Te Tensorflow Th Tiny-aya Tr Uk Ur Vi Yo Zh Zu

Model Card on HF 🤗: https://huggingface.co/AMAImedia/Tiny-Aya-3.3B-L2-Thinker-BF16-GGUF

Tiny Aya 3.3B L2 Thinker BF16 GGUF Parameters and Internals

LLM Name	Tiny Aya 3.3B L2 Thinker BF16 GGUF
Repository 🤗	https://huggingface.co/AMAImedia/Tiny-Aya-3.3B-L2-Thinker-BF16-GGUF
Base Model(s)	CohereLabs/tiny-aya-l2-thinker CohereLabs/tiny-aya-l2-thinker
Model Size	3.3b
Required VRAM	6.7 GB
Updated	2026-10-10
Maintainer	AMAImedia
Model Type	cohere2
Model Files	2.0 GB: 1-of-4 2.0 GB: 2-of-4 2.0 GB: 3-of-4 0.7 GB: 4-of-4
Supported Languages	am ar eu bn bg ca zh cs en fi fr de el ha he hi hu ig id ga it ja jv km ko lt ms mt no fa pl pa ru sk sw ta te th tr uk ur vi yo zu
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	Cohere2ForCausalLM
License	cc-by-nc-4.0
Context Length	5000000
Model Max Length	5000000
Transformers Version	4.56.2.4
Tokenizer Class	CohereTokenizerFast
Padding Token	<PAD>
Vocabulary Size	262144

Rank the Tiny Aya 3.3B L2 Thinker BF16 GGUF 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 Tiny Aya 3.3B L2 Thinker BF16 GGUF

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...ya Global Safetypulse Repaired	8K / 6.7 GB	51	1

Note: green Score (e.g. "73.2") means that the model is better than AMAImedia/Tiny-Aya-3.3B-L2-Thinker-BF16-GGUF.