What are the hardware requirements for Qwen3.5 9B GLM5.1 Distill V1?

Qwen3.5 9B GLM5.1 Distill V1 requires approximately 19.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.5 9B GLM5.1 Distill V1 and how large is it?

Qwen3.5 9B GLM5.1 Distill V1 is developed by Jackrong, a model with 9b 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 9B GLM5.1 Distill V1?

Qwen3.5 9B GLM5.1 Distill V1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.5 9B GLM5.1 Distill V1 by Jackrong — VRAM 19.3GB

Name: Qwen3.5 9B GLM5.1 Distill V1
Author: Jackrong

Qwen3.5 9B GLM5.1 Distill V1 is an open-source language model by Jackrong. Features: 9b LLM, VRAM: 19.3GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.29.

Arxiv:2604.06628 Base model:adapter:jackrong/qw... Base model:jackrong/qwen3.5-9b... Chain-of-thought Coding Conversational Dataset:jackrong/glm-5.1-reaso... Dataset:jackrong/qwen3.5-reaso... Dataset:kassadin88/glm-5.1-100... Distillation En Es Experimental Gguf Glm-5.1 Glm-distillation Image-text-to-text Instruct Instruction-tuned Ja Llama.cpp Local-inference Long-cot Lora Math Multilingual Quantized Qwen Qwen3.5 Qwen3 5 Reasoning Region:us Research Safetensors Sft Sharded Stem Tensorflow Unsloth Zh

Model Card on HF 🤗: https://huggingface.co/Jackrong/Qwen3.5-9B-GLM5.1-Distill-v1

Qwen3.5 9B GLM5.1 Distill V1 Parameters and Internals

LLM Name	Qwen3.5 9B GLM5.1 Distill V1
Repository 🤗	https://huggingface.co/Jackrong/Qwen3.5-9B-GLM5.1-Distill-v1
Model Name	unsloth/Qwen3.5-9B
Base Model(s)	Jackrong/Qwen3.5-9B-GLM5.1-Distill-v1 Jackrong/Qwen3.5-9B-GLM5.1-Distill-v1
Model Size	9b
Required VRAM	19.3 GB
Updated	2026-07-29
Maintainer	Jackrong
Model Type	qwen3_5
Instruction-Based	Yes
Model Files	5.3 GB: 1-of-4 5.3 GB: 2-of-4 5.4 GB: 3-of-4 3.3 GB: 4-of-4
Supported Languages	en zh ja es
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Tokenizer Class	TokenizersBackend
Padding Token	<\|vision_pad\|>
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen3.5 9B GLM5.1 Distill V1 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 GLM5.1 Distill V1

Best Alternatives	Context / RAM	Downloads	Likes
Tmax 9B	0K / 17.9 GB	29926	15
...n3.5 9B Brainwaves Qx86 Hi Mlx	0K / 9.8 GB	158	1
Qwen3.5 9B Brainwaves	0K / 19.3 GB	87	1
Uirapuru U1 9B	0K / 19.3 GB	39	0
...IQ INSTRUCT HERETIC UNCENSORED	0K / 18.8 GB	315991	42

Note: green Score (e.g. "73.2") means that the model is better than Jackrong/Qwen3.5-9B-GLM5.1-Distill-v1.