What are the hardware requirements for Qwen3.5 4B MultiDistill Megamix 8xMerge?

Qwen3.5 4B MultiDistill Megamix 8xMerge requires approximately 9.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.5 4B MultiDistill Megamix 8xMerge and how large is it?

Qwen3.5 4B MultiDistill Megamix 8xMerge is developed by xtools-at, a model with 4b 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 Qwen3.5 4B MultiDistill Megamix 8xMerge?

Qwen3.5 4B MultiDistill Megamix 8xMerge is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.5 4B MultiDistill Megamix 8xMerge by xtools-at — VRAM 9.3GB

Name: Qwen3.5 4B MultiDistill Megamix 8xMerge
Author: xtools-at

Qwen3.5 4B MultiDistill Megamix 8xMerge is an open-source language model by xtools-at. Features: 4b LLM, VRAM: 9.3GB, License: apache-2.0, LLM Explorer Score: 0.31.

Agentic Base model:merge:qwen/qwen3.5-... Base model:merge:xtools-at/qwe... Base model:merge:xtools-at/qwe... Base model:merge:xtools-at/qwe... Base model:qwen/qwen3.5-4b Base model:xtools-at/qwen3.5-4... Base model:xtools-at/qwen3.5-4... Base model:xtools-at/qwen3.5-4... Chain-of-thought Conversational Dataset:jackrong/claude-opus-4... Dataset:jackrong/claude-opus-4... Dataset:jackrong/qwen3.5-reaso... Dataset:lambda/hermes-agent-re... Dataset:nohurry/opus-4.6-reaso... Dataset:roman1111111/claude-op... Distillation Endpoints compatible Image-text-to-text Merge Qwen3.5 Qwen3 5 Reasoning Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/xtools-at/Qwen3.5-4B-MultiDistill-Megamix-8xMerge

Qwen3.5 4B MultiDistill Megamix 8xMerge Parameters and Internals

LLM Name	Qwen3.5 4B MultiDistill Megamix 8xMerge
Repository 🤗	https://huggingface.co/xtools-at/Qwen3.5-4B-MultiDistill-Megamix-8xMerge
Base Model(s)	Qwen/Qwen3.5-4B xtools-at/Qwen3.5-4B-Claude-3xMerge-Jackrong xtools-at/Qwen3.5-4B-Heretic-2xMerge-DavidAU xtools-at/Qwen3.5-4B-MultiDistill-3xMerge Qwen/Qwen3.5-4B xtools-at/Qwen3.5-4B-Claude-3xMerge-Jackrong xtools-at/Qwen3.5-4B-Heretic-2xMerge-DavidAU xtools-at/Qwen3.5-4B-MultiDistill-3xMerge
Model Size	4b
Required VRAM	9.3 GB
Updated	2026-10-19
Maintainer	xtools-at
Model Type	qwen3_5
Model Files	4.3 GB: 1-of-3 4.3 GB: 2-of-3 0.7 GB: 3-of-3
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.2.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3.5 4B MultiDistill Megamix 8xMerge 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 Qwen3.5 4B MultiDistill Megamix 8xMerge

Best Alternatives	Context / RAM	Downloads	Likes
AgentHorse 4B	256K / 8.4 GB	941	7
Qwen3.5 4B	0K / 9.3 GB	6575502	801
LightOnOCR 3 4B	0K / 9.1 GB	2395	71
NuExtract3	0K / 0.2 GB	441570	324
UserRepGen 4B	0K / 9.1 GB	1008	13
Agents A1 4B	0K / 9.1 GB	177578	72
FrogNano 4B 2609	0K / 9.3 GB	733	113
Mizan V3 3B	0K / 0.1 GB	135	18
Intern Decision 4B	0K / 0.1 GB	338	48
Qwen3.5 4B Base	0K / 9.3 GB	227814	79

Note: green Score (e.g. "73.2") means that the model is better than xtools-at/Qwen3.5-4B-MultiDistill-Megamix-8xMerge.