What are the hardware requirements for Safetensors.Claude Qwen3.5 4B Reasoning?

Safetensors.Claude Qwen3.5 4B Reasoning requires approximately 9.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Safetensors.Claude Qwen3.5 4B Reasoning and how large is it?

Safetensors.Claude Qwen3.5 4B Reasoning is developed by mondk, 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 Safetensors.Claude Qwen3.5 4B Reasoning?

Safetensors.Claude Qwen3.5 4B Reasoning is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Safetensors.Claude Qwen3.5 4B Reasoning by mondk — VRAM 9.3GB

Name: Safetensors.Claude Qwen3.5 4B Reasoning
Author: mondk

Safetensors.Claude Qwen3.5 4B Reasoning is an open-source language model by mondk. Features: 4b LLM, VRAM: 9.3GB, License: apache-2.0, LLM Explorer Score: 0.25.

Base model:finetune:teichai/qw... Base model:teichai/qwen3.5-4b-... Claude Conversational Dataset:angrygiraffe/claude-op... Dataset:dalisoft/claude-opus-4... Dataset:hastagaras/claude-opus... Dataset:mondk/claude-code-fabl... Dataset:teichai/claude-sonnet-... En Image-text-to-text Qwen3 5 Reasoning Region:us Safetensors Sharded Teich Tensorflow Tool-use Unsloth Vi Zh

Model Card on HF 🤗: https://huggingface.co/mondk/Safetensors.Claude-Qwen3.5-4B-Reasoning

Safetensors.Claude Qwen3.5 4B Reasoning Parameters and Internals

LLM Name	Safetensors.Claude Qwen3.5 4B Reasoning
Repository 🤗	https://huggingface.co/mondk/Safetensors.Claude-Qwen3.5-4B-Reasoning
Model Name	TeichAI/Qwen3.5-4B-Claude-Opus-Reasoning-Distill
Base Model(s)	TeichAI/Qwen3.5-4B-Claude-Opus-Reasoning-Distill TeichAI/Qwen3.5-4B-Claude-Opus-Reasoning-Distill
Model Size	4b
Required VRAM	9.3 GB
Updated	2026-08-20
Maintainer	mondk
Model Type	qwen3_5
Model Files	5.3 GB: 1-of-2 4.0 GB: 2-of-2
Supported Languages	en zh vi
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Tokenizer Class	TokenizersBackend
Padding Token	<\|vision_pad\|>
Torch Data Type	float16
Errors	replace

Rank the Safetensors.Claude Qwen3.5 4B Reasoning 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 Safetensors.Claude Qwen3.5 4B Reasoning

Best Alternatives	Context / RAM	Downloads	Likes
AgentHorse 4B	256K / 8.4 GB	904	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
Agents A1 4B	0K / 9.1 GB	177578	72
FrogNano 4B 2609	0K / 9.3 GB	733	113
Intern Decision 4B	0K / 0.1 GB	338	48
Tev1 4B Experimental	0K / 9.3 GB	1539	16
Qwen3.5 4B Base	0K / 9.3 GB	227814	79
Mizan V3 3B	0K / 0.1 GB	46	14

Note: green Score (e.g. "73.2") means that the model is better than mondk/Safetensors.Claude-Qwen3.5-4B-Reasoning.