What are the hardware requirements for Qwen3.5 4B Claude 4.6 Opus Reasoning Distilled GGUF?

Qwen3.5 4B Claude 4.6 Opus Reasoning Distilled GGUF requires approximately 0.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Where can I download or evaluate Qwen3.5 4B Claude 4.6 Opus Reasoning Distilled GGUF?

Qwen3.5 4B Claude 4.6 Opus Reasoning Distilled GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.5 4B Claude 4.6 Opus Reasoning Distilled GGUF by Jackrong — VRAM 0.7GB

Name: Qwen3.5 4B Claude 4.6 Opus Reasoning Distilled GGUF
Author: Jackrong

Qwen3.5 4B Claude 4.6 Opus Reasoning Distilled GGUF is an open-source language model by Jackrong. Features: 4b LLM, VRAM: 0.7GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.35.

Base model:adapter:qwen/qwen3.... Base model:qwen/qwen3.5-4b Chain-of-thought Conversational Dataset:jackrong/qwen3.5-reaso... Dataset:nohurry/opus-4.6-reaso... En Endpoints compatible Gguf Ko Lora Quantized Qwen Qwen3.5 Qwen3 5 Reasoning Region:us Unsloth Zh

Model Card on HF 🤗: https://huggingface.co/Jackrong/Qwen3.5-4B-Claude-4.6-Opus-Reasoning-Distilled-GGUF

Qwen3.5 4B Claude 4.6 Opus Reasoning Distilled GGUF Parameters and Internals

LLM Name	Qwen3.5 4B Claude 4.6 Opus Reasoning Distilled GGUF
Repository 🤗	https://huggingface.co/Jackrong/Qwen3.5-4B-Claude-4.6-Opus-Reasoning-Distilled-GGUF
Model Name	unsloth/Qwen3.5-4B
Base Model(s)	Qwen/Qwen3.5-4B Qwen/Qwen3.5-4B
Model Size	4b
Required VRAM	0.7 GB
Updated	2026-08-30
Maintainer	Jackrong
Model Type	qwen3_5
Model Files	1.8 GB 2.4 GB 2.3 GB 2.1 GB 2.7 GB 2.6 GB 3.1 GB 3.0 GB 3.5 GB 4.5 GB 0.7 GB
Supported Languages	en zh ko
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
LoRA Model	Yes
Torch Data Type	bfloat16

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