What are the hardware requirements for Qwen3 6 27B Chinese Xianxia Lora V2?

Qwen3 6 27B Chinese Xianxia Lora V2 requires approximately 0.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 6 27B Chinese Xianxia Lora V2 and how large is it?

Qwen3 6 27B Chinese Xianxia Lora V2 is developed by yuxinlu1, 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 Qwen3 6 27B Chinese Xianxia Lora V2?

Qwen3 6 27B Chinese Xianxia Lora V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 6 27B Chinese Xianxia Lora V2 by yuxinlu1 — VRAM 0.2GB

Name: Qwen3 6 27B Chinese Xianxia Lora V2
Author: yuxinlu1

Qwen3 6 27B Chinese Xianxia Lora V2 is an open-source language model by yuxinlu1. Features: 27b LLM, VRAM: 0.2GB, License: mit, Quantized, LLM Explorer Score: 0.26.

Adapter Base model:adapter:qwen/qwen3.... Base model:qwen/qwen3.6-27b Chinese Conversational Creative-writing Cultivation Finetuned Gguf Lora Peft Quantized Qwen3 Qwen3.6 Region:us Safetensors Xianxia Xuanhuan Zh

Model Card on HF 🤗: https://huggingface.co/yuxinlu1/qwen3-6-27b-chinese-xianxia-lora-v2

Qwen3 6 27B Chinese Xianxia Lora V2 Parameters and Internals

LLM Name	Qwen3 6 27B Chinese Xianxia Lora V2
Repository 🤗	https://huggingface.co/yuxinlu1/qwen3-6-27b-chinese-xianxia-lora-v2
Base Model(s)	Qwen/Qwen3.6-27B Qwen/Qwen3.6-27B
Model Size	27b
Required VRAM	0.2 GB
Updated	2026-08-05
Maintainer	yuxinlu1
Model Files	0.3 GB 0.2 GB
Supported Languages	zh
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	Adapter
License	mit
Model Max Length	262144
Is Biased	none
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	gate_proj\|v_proj\|up_proj\|q_proj\|o_proj\|k_proj\|down_proj
LoRA Alpha	32
LoRA Dropout	0
R Param	16
Errors	replace

Rank the Qwen3 6 27B Chinese Xianxia Lora V2 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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