What are the hardware requirements for Q3 30B A3B Designant?

Q3 30B A3B Designant requires approximately 61.1 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Q3 30B A3B Designant and how large is it?

Q3 30B A3B Designant is developed by allura-org, a model with 30b 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 Q3 30B A3B Designant?

Q3 30B A3B Designant is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Q3 30B A3B Designant by allura-org — VRAM 61.1GB, 32K context

Name: Q3 30B A3B Designant
Author: allura-org

Q3 30B A3B Designant is an open-source language model by allura-org. Features: 30b LLM, VRAM: 61.1GB, Context: 32K, Quantized, Instruction-Based, Merged, LLM Explorer Score: 0.18.

Merged Model Axolotl Conversational Dataset:ai2-adapt-dev/flan v2 ... Dataset:alfitaria/nemotron-ult... Dataset:allenai/tulu-3-if-augm... Dataset:allenai/tulu-3-sft-per... Dataset:antiven0m/physical-rea... Dataset:cognitivecomputations/... Dataset:freedomintelligence/me... Dataset:grimulkan/physical-rea... Dataset:grimulkan/theory-of-mi... Dataset:kalomaze/opus instruct... Dataset:nbeerbower/gutenberg-m... Dataset:nbeerbower/gutenberg2-... Dataset:nbeerbower/purpura-dpo Dataset:nobodyexistsontheinter... Dataset:nvidia/helpsteer3 Dataset:pocketdoc/dans-prosema... Dataset:pygmalionai/pippa Dataset:simplescaling/s1k-clau... Endpoints compatible Instruct Q3 Quantized Qwen3 moe Region:us Roleplay Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/allura-org/Q3-30B-A3B-Designant

Q3 30B A3B Designant Parameters and Internals

LLM Name	Q3 30B A3B Designant
Repository 🤗	https://huggingface.co/allura-org/Q3-30B-A3B-Designant
Base Model(s)	allura-forge/q3-30b-rc3 allura-forge/q3-30b-rc3
Merged Model	Yes
Model Size	30b
Required VRAM	61.1 GB
Updated	2026-07-21
Maintainer	allura-org
Model Type	qwen3_moe
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-13 5.0 GB: 2-of-13 5.0 GB: 3-of-13 5.0 GB: 4-of-13 5.0 GB: 5-of-13 5.0 GB: 6-of-13 5.0 GB: 7-of-13 5.0 GB: 8-of-13 5.0 GB: 9-of-13 5.0 GB: 10-of-13 5.0 GB: 11-of-13 5.0 GB: 12-of-13 1.1 GB: 13-of-13
Quantization Type	q3
Model Architecture	Qwen3MoeForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.52.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Q3 30B A3B Designant 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 Q3 30B A3B Designant

Best Alternatives	Context / RAM	Downloads	Likes
...en3 30B A3B Instruct 2507 4bit	256K / 17.2 GB	83766	12
...30B A3B Instruct 2507 MLX 4bit	256K / 17.2 GB	24652	8
...30B A3B Instruct 2507 MLX 8bit	256K / 32.5 GB	24655	3
...n3 Coder 30B A3B Instruct 4bit	256K / 17.2 GB	7252	33
...r 30B A3B Instruct 4bit Dwq V2	256K / 17.2 GB	1342	10
...n3 Coder 30B A3B Instruct 8bit	256K / 32.5 GB	1277	7
...oder 30B A3B Instruct 4bit DWQ	256K / 17.2 GB	644	5
...en3 30B A3B Instruct 2507 8bit	256K / 32.5 GB	116	2
...LL MASTER CODER M 1million Ctx	1024K / 84.8 GB	198	11
Qwen3 30B A3B YOYO V3	986K / 61.1 GB	11	7

Note: green Score (e.g. "73.2") means that the model is better than allura-org/Q3-30B-A3B-Designant.