What are the hardware requirements for Qwen38 Magnus V2 Lora?

Qwen38 Magnus V2 Lora requires approximately 0.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen38 Magnus V2 Lora and how large is it?

Qwen38 Magnus V2 Lora is developed by YFC-112358, 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 Qwen38 Magnus V2 Lora?

Qwen38 Magnus V2 Lora is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen38 Magnus V2 Lora by YFC-112358 — VRAM 0.5GB

Name: Qwen38 Magnus V2 Lora
Author: YFC-112358

Qwen38 Magnus V2 Lora is an open-source language model by YFC-112358. Features: 27b LLM, VRAM: 0.5GB, LLM Explorer Score: 0.25.

Adapter Base model:adapter:qwen/qwen3.... Base model:qwen/qwen3.8-27b Finetuned Lora Peft Region:us Safetensors Taste-transfer

Model Card on HF 🤗: https://huggingface.co/YFC-112358/qwen38-magnus-v2-lora

Qwen38 Magnus V2 Lora Parameters and Internals

LLM Name	Qwen38 Magnus V2 Lora
Repository 🤗	https://huggingface.co/YFC-112358/qwen38-magnus-v2-lora
Base Model(s)	Qwen/Qwen3.8-27B Qwen/Qwen3.8-27B
Model Size	27b
Required VRAM	0.5 GB
Updated	2026-10-12
Maintainer	YFC-112358
Model Files	0.5 GB
Model Architecture	Adapter
Is Biased	none
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	down_proj\|k_proj\|out_proj\|in_proj_b\|o_proj\|in_proj_qkv\|up_proj\|v_proj\|in_proj_z\|in_proj_a\|q_proj\|gate_proj
LoRA Alpha	16
LoRA Dropout	0
R Param	16

Rank the Qwen38 Magnus V2 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 Qwen38 Magnus V2 Lora

Best Alternatives	Context / RAM	Downloads	Likes
Jev Vision 27B	0K / 0.9 GB	59	2
Qwen3.8 27B Velocity	0K / 0.9 GB	83	1
DeltaRoutingAI	0K / 0.2 GB	26	1
...3.8 27B Abliterated Cyber LoRA	0K / 0.4 GB	22	1
...en3.8 27B Absolute Heresy LoRA	0K / 0.3 GB	27	4
...laude Opus Reasoning Distilled	0K / 0.9 GB	22	2
Qwen3.8 27B Finance LoRA	0K / 0.2 GB	9	1
Qwen3.8 27B Code SE LoRA	0K / 0.6 GB	19	1
Candle Qwen38 27B Sft 1p	0K / 0.9 GB	17	1
... 27B Reasoning Distill Lora V1	0K / 0.4 GB	12	0

Note: green Score (e.g. "73.2") means that the model is better than YFC-112358/qwen38-magnus-v2-lora.