What are the hardware requirements for Qwen3.5 27B Claude 4.6 Opus Reasoning Distilled GGUF?

Qwen3.5 27B Claude 4.6 Opus Reasoning Distilled GGUF requires approximately 0.9 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 27B Claude 4.6 Opus Reasoning Distilled GGUF?

Qwen3.5 27B 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 27B Claude 4.6 Opus Reasoning Distilled GGUF by Jackrong — VRAM 0.9GB

Name: Qwen3.5 27B Claude 4.6 Opus Reasoning Distilled GGUF
Author: Jackrong

Qwen3.5 27B Claude 4.6 Opus Reasoning Distilled GGUF is an open-source language model by Jackrong. Features: 27b LLM, VRAM: 0.9GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.36.

Base model:quantized:qwen/qwen... Base model:qwen/qwen3.5-27b Chain-of-thought Conversational Dataset:jackrong/qwen3.5-reaso... Dataset:nohurry/opus-4.6-reaso... Dense En Endpoints compatible Gguf Image-text-to-text Llama.cpp Multimodal Quantized Qwen Qwen3.5 Qwen3 5 Reasoning Region:us Unsloth Vision Zh

Model Card on HF 🤗: https://huggingface.co/Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-GGUF

Qwen3.5 27B Claude 4.6 Opus Reasoning Distilled GGUF Parameters and Internals

LLM Name	Qwen3.5 27B Claude 4.6 Opus Reasoning Distilled GGUF
Repository 🤗	https://huggingface.co/Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-GGUF
Model Name	qwen/Qwen3.5-27B
Base Model(s)	Qwen/Qwen3.5-27B Qwen/Qwen3.5-27B
Model Size	27b
Required VRAM	0.9 GB
Updated	2026-08-11
Maintainer	Jackrong
Model Type	qwen3_5
Model Files	13.3 GB 16.5 GB 28.6 GB 0.9 GB
Supported Languages	en zh
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Torch Data Type	bfloat16

Rank the Qwen3.5 27B Claude 4.6 Opus Reasoning Distilled GGUF capabilities

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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 27B Claude 4.6 Opus Reasoning Distilled GGUF

Best Alternatives	Context / RAM	Downloads	Likes
...N V1.1 NM DAU NEO MAX MTP GGUF	0K / 0.9 GB	421538	328
Qwen3.8	0K / 0.9 GB	54	1
Qwen3.8 27B GGUF	0K / 0.9 GB	0	685
Qwen3.8 27B OBLITERATED	0K / 83.2 GB	2420	2
...B Abliterated V2 PQ2 0 MTP MLX	0K / 0.8 GB	2226	7
...N Blackwell DFlash2 Ultra V1.0	0K / 0.9 GB	3531	3
Swift Qwen3.8 27B MIX GGUF	0K / 0.9 GB	2219	2
...inkingCap Qwen3.8 27B MIX GGUF	0K / 13.4 GB	1395	7
Qwen3.8 27B Growpath	0K / 54.7 GB	351	0
...easoning Instruct MTP MLX 4bit	0K / 16.6 GB	366	2

Note: green Score (e.g. "73.2") means that the model is better than Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-GGUF.