What are the hardware requirements for Qwen3.5 9B Claude 4.6 Opus Reasoning Distilled V2 GGUF?

Qwen3.5 9B Claude 4.6 Opus Reasoning Distilled V2 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 9B Claude 4.6 Opus Reasoning Distilled V2 GGUF?

Qwen3.5 9B Claude 4.6 Opus Reasoning Distilled V2 GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.5 9B Claude 4.6 Opus Reasoning Distilled V2 GGUF by Jackrong — VRAM 0.9GB

Name: Qwen3.5 9B Claude 4.6 Opus Reasoning Distilled V2 GGUF
Author: Jackrong

Qwen3.5 9B Claude 4.6 Opus Reasoning Distilled V2 GGUF is an open-source language model by Jackrong. Features: 9b LLM, VRAM: 0.9GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.35.

Base model:adapter:qwen/qwen3.... Base model:qwen/qwen3.5-9b Chain-of-thought Conversational Dataset:jackrong/qwen3.5-reaso... Dataset:nohurry/opus-4.6-reaso... Dataset:roman1111111/claude-op... En Endpoints compatible Gguf Image-text-to-text Ko Lora Quantized Qwen Qwen3.5 Qwen3 5 Reasoning Region:us Unsloth Zh

Model Card on HF 🤗: https://huggingface.co/Jackrong/Qwen3.5-9B-Claude-4.6-Opus-Reasoning-Distilled-v2-GGUF

Qwen3.5 9B Claude 4.6 Opus Reasoning Distilled V2 GGUF Parameters and Internals

LLM Name	Qwen3.5 9B Claude 4.6 Opus Reasoning Distilled V2 GGUF
Repository 🤗	https://huggingface.co/Jackrong/Qwen3.5-9B-Claude-4.6-Opus-Reasoning-Distilled-v2-GGUF
Model Name	unsloth/Qwen3.5-9B
Base Model(s)	Qwen/Qwen3.5-9B Qwen/Qwen3.5-9B
Model Size	9b
Required VRAM	0.9 GB
Updated	2026-08-08
Maintainer	Jackrong
Model Type	qwen3_5
Model Files	5.6 GB 6.5 GB 9.5 GB 0.9 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

Rank the Qwen3.5 9B Claude 4.6 Opus Reasoning Distilled V2 GGUF 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 9B Claude 4.6 Opus Reasoning Distilled V2 GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Ornith 1.5 9B OBLITERATED	0K / 19.4 GB	10421	39
Qwopus3.5 9B V3 GGUF	0K / 0.9 GB	12266	375
Qwen3.5 9B Qworus V2	0K / 18.8 GB	1856	3
Crow 9B HERETIC 4.6	0K / 18.8 GB	5325	280
...Kimik2.6 Opus Distill MTP GGUF	0K / 0.9 GB	8610	8
... 9B Kimik2.6 Opus Distill GGUF	0K / 0.9 GB	524	2
Qwen3.5 9B MLX 4bit	0K / 5.9 GB	580012	4
Qwen3.5 9B MLX 8bit	0K / 10.4 GB	550497	1
Ornith 1.5 9B MLX 4bit	0K / 5 GB	3043	18
Ornith 1.5 9B MLX 8bit	0K / 9.5 GB	2686	7

Note: green Score (e.g. "73.2") means that the model is better than Jackrong/Qwen3.5-9B-Claude-4.6-Opus-Reasoning-Distilled-v2-GGUF.