What are the hardware requirements for Q3 8B Kintsugi?

Q3 8B Kintsugi requires approximately 16.4 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 8B Kintsugi and how large is it?

Q3 8B Kintsugi is developed by allura-org, a model with 8b 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 8B Kintsugi?

Q3 8B Kintsugi is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Q3 8B Kintsugi by allura-org — VRAM 16.4GB, 32K context

Name: Q3 8B Kintsugi
Author: allura-org

Q3 8B Kintsugi is an open-source language model by allura-org. Features: 8b LLM, VRAM: 16.4GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.18.

Axolotl Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-8b-base 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 Mergekit Q3 Quantized Qwen3 Region:us Roleplay Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/allura-org/Q3-8B-Kintsugi

Q3 8B Kintsugi Parameters and Internals

LLM Name	Q3 8B Kintsugi
Repository 🤗	https://huggingface.co/allura-org/Q3-8B-Kintsugi
Base Model(s)	Qwen3 8B Base Qwen/Qwen3-8B-Base
Model Size	8b
Required VRAM	16.4 GB
Updated	2026-08-01
Maintainer	allura-org
Model Type	qwen3
Instruction-Based	Yes
Model Files	4.0 GB: 1-of-5 4.0 GB: 2-of-5 4.0 GB: 3-of-5 3.2 GB: 4-of-5 1.2 GB: 5-of-5
Quantization Type	q3
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.51.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16

Rank the Q3 8B Kintsugi 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 8B Kintsugi

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 8B Instruct Indo Sft	40K / 16.4 GB	151	0
DeepAnalyze 8B	128K / 16.4 GB	512	93
...epSeek R1 0528 Qwen3 8B Esper3	128K / 32.7 GB	15	3
WebWorld 8B	40K / 16.4 GB	950	64
WebWorld 32B	40K / 65.8 GB	342	75
...nBias Plus SFT Instruct Legacy	40K / 16.4 GB	383	1
WebWorld 14B	40K / 29.5 GB	504	28
...n3 8B UnBias Plus SFT Instruct	40K / 16.4 GB	54	1
QVikhr 3 8B Instruction	40K / 16.4 GB	3846	10
ATLAS 8B Instruct	40K / 16.4 GB	21	2

Note: green Score (e.g. "73.2") means that the model is better than allura-org/Q3-8B-Kintsugi.