What are the hardware requirements for Nomi 2 Mini GGUF?

Nomi 2 Mini GGUF requires approximately 0.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Nomi 2 Mini GGUF and how large is it?

Nomi 2 Mini GGUF is developed by JallyAI, a model with 2b 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 Nomi 2 Mini GGUF?

Nomi 2 Mini GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Nomi 2 Mini GGUF by JallyAI — VRAM 0.7GB

Name: Nomi 2 Mini GGUF
Author: JallyAI

Nomi 2 Mini GGUF is an open-source language model by JallyAI. Features: 2b LLM, VRAM: 0.7GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.31.

Base model:jallyai/nomi-2-mini Base model:quantized:jallyai/n... Conversational Efficient Endpoints compatible Gguf Image-text-to-text Lazyloopstudio Nomi Nomi2 Quantized Qwen Qwen3.5 Qwen3 5 Region:us Unsloth

Model Card on HF 🤗: https://huggingface.co/JallyAI/Nomi-2-Mini-GGUF

Nomi 2 Mini GGUF Parameters and Internals

LLM Name	Nomi 2 Mini GGUF
Repository 🤗	https://huggingface.co/JallyAI/Nomi-2-Mini-GGUF
Model Name	unsloth/Qwen3.5-2B
Base Model(s)	Nomi 2 Mini JallyAI/Nomi-2-Mini
Model Size	2b
Required VRAM	0.7 GB
Updated	2026-08-17
Maintainer	JallyAI
Model Type	qwen3_5
Model Files	0.7 GB 1.3 GB
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Torch Data Type	float16

Rank the Nomi 2 Mini 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 Nomi 2 Mini GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.5 2B MLX 4bit	0K / 1.7 GB	12310	2
Qwen3.5 2B 6bit	0K / 2.2 GB	8680	7
Qwen3.5 2B 4bit	0K / 1.7 GB	5374	5
Spartan 1.2 2B MLX 8bit	0K / 1.1 GB	27	0
Qwen3.5 2B OptiQ 4bit	0K / 0.7 GB	1296	12
Qwen3.5 2B 8bit	0K / 2.7 GB	202	1
Qwen3.5 2B	0K / 4.5 GB	2633311	352
Qwen3.8 2B	0K / 4.5 GB	319	13
Qwen3.5 2B Base	0K / 4.5 GB	809591	82
Qwen3.5 2B	0K / 4.5 GB	103487	18

Note: green Score (e.g. "73.2") means that the model is better than JallyAI/Nomi-2-Mini-GGUF.