What are the hardware requirements for Schierling Qwen3.6 27B LoRA?

Schierling Qwen3.6 27B LoRA requires approximately 0.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Schierling Qwen3.6 27B LoRA and how large is it?

Schierling Qwen3.6 27B LoRA is developed by nbeerbower, a model with 27b 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 Qwen3.6 27B LoRA?

Schierling Qwen3.6 27B LoRA is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Schierling Qwen3.6 27B LoRA by nbeerbower — VRAM 0.6GB

Name: Schierling Qwen3.6 27B LoRA
Author: nbeerbower

Schierling Qwen3.6 27B LoRA is an open-source language model by nbeerbower. Features: 27b LLM, VRAM: 0.6GB, License: apache-2.0.

Adapter Base model:adapter:nbeerbower/... Base model:nbeerbower/qwen3.6-... Code Dataset:hemlang/hemlock-codex3... Dataset:hemlang/hemlock-sft Dataset:hemlang/hemlock-transm... En Finetuned Hemlock Lora Peft Qwen3.6 Region:us Safetensors Sft

Model Card on HF 🤗: https://huggingface.co/nbeerbower/Schierling-Qwen3.6-27B-LoRA

Schierling Qwen3.6 27B LoRA Parameters and Internals

LLM Name	Schierling Qwen3.6 27B LoRA
Repository 🤗	https://huggingface.co/nbeerbower/Schierling-Qwen3.6-27B-LoRA
Base Model(s)	nbeerbower/Qwen3.6-27B-TIES nbeerbower/Qwen3.6-27B-TIES
Model Size	27b
Required VRAM	0.6 GB
Updated	2026-08-09
Maintainer	nbeerbower
Model Files	0.6 GB
Supported Languages	en
Model Architecture	Adapter
License	apache-2.0
Model Max Length	262144
Is Biased	none
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	down_proj\|gate_proj\|q_proj\|v_proj\|o_proj\|k_proj\|up_proj
LoRA Alpha	64
LoRA Dropout	0.05
R Param	32
Errors	replace

Rank the Schierling Qwen3.6 27B LoRA 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 Schierling Qwen3.6 27B LoRA

Best Alternatives	Context / RAM	Downloads	Likes
... 6 27B Chinese Xianxia Lora V2	0K / 0.2 GB	169	8
...7B Chinese Folk Horror Lora V2	0K / 0.2 GB	110	3

Note: green Score (e.g. "73.2") means that the model is better than nbeerbower/Schierling-Qwen3.6-27B-LoRA.