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

Schierling Qwen3.5 9B LoRA requires approximately 0.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

Schierling Qwen3.5 9B LoRA 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 Schierling Qwen3.5 9B LoRA?

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

Schierling Qwen3.5 9B LoRA by hemlang — VRAM 0.2GB

Name: Schierling Qwen3.5 9B LoRA
Author: hemlang

Schierling Qwen3.5 9B LoRA is an open-source language model by hemlang. Features: 9b LLM, VRAM: 0.2GB, License: apache-2.0, LLM Explorer Score: 0.27.

Adapter Base model:adapter:nbeerbower/... Base model:nbeerbower/huihui-q... Code Conversational Dataset:hemlang/hemlock-sft-co... En Finetuned Hemlock Lora Peft Qwen3.5 Region:us Safetensors

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

Schierling Qwen3.5 9B LoRA Parameters and Internals

LLM Name	Schierling Qwen3.5 9B LoRA
Repository 🤗	https://huggingface.co/hemlang/Schierling-Qwen3.5-9B-LoRA
Base Model(s)	nbeerbower/Huihui-Qwen3.5-9B-abliterated-TIES nbeerbower/Huihui-Qwen3.5-9B-abliterated-TIES
Model Size	9b
Required VRAM	0.2 GB
Updated	2026-09-01
Maintainer	hemlang
Model Files	0.2 GB
Supported Languages	en
Model Architecture	Adapter
License	apache-2.0
Model Max Length	262144
Is Biased	none
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	v_proj\|k_proj\|gate_proj\|o_proj\|up_proj\|q_proj\|down_proj
LoRA Alpha	64
LoRA Dropout	0.05
R Param	32
Errors	replace

Rank the Schierling Qwen3.5 9B LoRA 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

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