What are the hardware requirements for Amaretto 14B?

Amaretto 14B requires approximately 28 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Amaretto 14B and how large is it?

Amaretto 14B is developed by AmarettoLabs, a model with 14b 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 Amaretto 14B?

Amaretto 14B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Amaretto 14B by AmarettoLabs — VRAM 28GB

Name: Amaretto 14B
Author: AmarettoLabs

Amaretto 14B is an open-source language model by AmarettoLabs. Features: 14b LLM, VRAM: 28GB, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.29.

4bit Base model:mistralai/ministral... Base model:quantized:mistralai... Conversational Creative-writing En Endpoints compatible Finetuned Gguf Instruct Mistral3 Q4 Qlora Quantized Region:us Safetensors Sharded Tensorflow Writing-assistant

Model Card on HF 🤗: https://huggingface.co/AmarettoLabs/Amaretto-14B

Amaretto 14B Parameters and Internals

LLM Name	Amaretto 14B
Repository 🤗	https://huggingface.co/AmarettoLabs/Amaretto-14B
Model Name	unsloth/ministral-3-14b-instruct-2512-unsloth-bnb-4bit
Base Model(s)	Ministral 3 14B Instruct 2512 mistralai/Ministral-3-14B-Instruct-2512
Model Size	14b
Required VRAM	28 GB
Updated	2026-08-11
Maintainer	AmarettoLabs
Model Type	mistral3
Instruction-Based	Yes
Model Files	8.2 GB 9.6 GB 11.1 GB 14.4 GB 4.9 GB: 1-of-6 4.9 GB: 2-of-6 4.9 GB: 3-of-6 4.9 GB: 4-of-6 4.9 GB: 5-of-6 3.5 GB: 6-of-6
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	q4\|4bit\|gguf\|q4_k\|q5_k
Model Architecture	Mistral3ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Tokenizer Class	TokenizersBackend
Padding Token	<pad>
Torch Data Type	bfloat16

Rank the Amaretto 14B 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 Amaretto 14B

Best Alternatives	Context / RAM	Downloads	Likes
... 3 14B Instruct 2512 MLX MXFP4	0K / 7.2 GB	526	2
Ministral 3 14B Instruct 2512	0K / 27 GB	60	1