What are the hardware requirements for Hemlock Qwen3.5 9B?

Hemlock Qwen3.5 9B requires approximately 0.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Hemlock Qwen3.5 9B and how large is it?

Hemlock Qwen3.5 9B is developed by hemlang, 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 Hemlock Qwen3.5 9B?

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

Hemlock Qwen3.5 9B by hemlang — VRAM 0.5GB

Name: Hemlock Qwen3.5 9B
Author: hemlang

Hemlock Qwen3.5 9B is an open-source language model by hemlang. Features: 9b LLM, VRAM: 0.5GB, License: apache-2.0, LLM Explorer Score: 0.28.

Base model:hemlang/schierling-... Base model:merge:hemlang/schie... Base model:merge:nbeerbower/hu... Base model:nbeerbower/huihui-q... Code Conversational Dataset:hemlang/hemlock-sft-co... En Endpoints compatible Hemlock Image-text-to-text Lora Merge Qwen3.5 Qwen3 5 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/hemlang/Hemlock-Qwen3.5-9B

Hemlock Qwen3.5 9B Parameters and Internals

LLM Name	Hemlock Qwen3.5 9B
Repository 🤗	https://huggingface.co/hemlang/Hemlock-Qwen3.5-9B
Base Model(s)	nbeerbower/Huihui-Qwen3.5-9B-abliterated-TIES hemlang/Schierling-Qwen3.5-9B-LoRA nbeerbower/Huihui-Qwen3.5-9B-abliterated-TIES hemlang/Schierling-Qwen3.5-9B-LoRA
Model Size	9b
Required VRAM	0.5 GB
Updated	2026-08-30
Maintainer	hemlang
Model Type	qwen3_5
Model Files	0.5 GB 18.8 GB
Supported Languages	en
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.3.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
LoRA Model	Yes
Errors	replace

Rank the Hemlock Qwen3.5 9B 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 Hemlock Qwen3.5 9B

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.8 Distilled 9B NPU2	256K / GB	485	3
Qwen3.5 9B	0K / 19.3 GB	12207758	1799
Ornith 1.0 9B	0K / 18.8 GB	1855431	539
Qwable 9B Claude Fable 5	0K / 18.8 GB	1088	115
Qwythos 9B Claude Mythos 5 1M	0K / 18.8 GB	37427	906
Qwen3.8 9B Distill	0K / 19.3 GB	5839	148
Ornith 1.5 9B	0K / 18.9 GB	1324	120
Negentropy Claude Opus 4.7 9B	0K / 18.8 GB	63	26
Qwythos 9B V2	0K / 19.3 GB	19208	156
Ornith 1.5 9B NVFP4	0K / 8.8 GB	2704	7

Note: green Score (e.g. "73.2") means that the model is better than hemlang/Hemlock-Qwen3.5-9B.