What are the hardware requirements for Qwen3.8 27B Code SE LoRA?

Qwen3.8 27B Code SE 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 Qwen3.8 27B Code SE LoRA and how large is it?

Qwen3.8 27B Code SE LoRA is developed by blkpws, 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 Qwen3.8 27B Code SE LoRA?

Qwen3.8 27B Code SE LoRA is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.8 27B Code SE LoRA by blkpws — VRAM 0.6GB

Name: Qwen3.8 27B Code SE LoRA
Author: blkpws

Qwen3.8 27B Code SE LoRA is an open-source language model by blkpws. Features: 27b LLM, VRAM: 0.6GB, License: apache-2.0, Fine-Tuned, LLM Explorer Score: 0.28.

Adapter Base model:adapter:qwen/qwen3.... Base model:qwen/qwen3.8-27b Code En Finetuned Javascript Lora Peft Python Qwen3.8 Region:us Rust Safetensors Software-engineering

Model Card on HF 🤗: https://huggingface.co/blkpws/Qwen3.8-27B-Code-SE-LoRA

Qwen3.8 27B Code SE LoRA Parameters and Internals

LLM Name	Qwen3.8 27B Code SE LoRA
Repository 🤗	https://huggingface.co/blkpws/Qwen3.8-27B-Code-SE-LoRA
Base Model(s)	Qwen/Qwen3.8-27B Qwen/Qwen3.8-27B
Model Size	27b
Required VRAM	0.6 GB
Updated	2026-08-19
Maintainer	blkpws
Model Files	0.6 GB
Supported Languages	en
Model Architecture	Adapter
License	apache-2.0
Is Biased	none
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	k_proj\|up_proj\|q_proj\|v_proj\|down_proj\|gate_proj\|o_proj
LoRA Alpha	64
LoRA Dropout	0.05
R Param	32

Rank the Qwen3.8 27B Code SE 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

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...en3.8 27B Absolute Heresy LoRA	0K / 0.3 GB	27	4
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H3 IR Qwen3.6 27B LoRA	0K / 0.2 GB	7	1
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....8 27B Yes Man Uncensored LoRA	0K / 0.9 GB	28	1
... 6 27B Chinese Xianxia Lora V2	0K / 0.2 GB	169	8
...7B Chinese Folk Horror Lora V2	0K / 0.2 GB	110	3
...B Samantha Uncensored 1.1 LoRA	0K / 0.2 GB	360	1

Note: green Score (e.g. "73.2") means that the model is better than blkpws/Qwen3.8-27B-Code-SE-LoRA.