What are the hardware requirements for Qwen3.8 27B GLA G2 EXL3 4.0bpw?

Qwen3.8 27B GLA G2 EXL3 4.0bpw requires approximately 1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.8 27B GLA G2 EXL3 4.0bpw and how large is it?

Qwen3.8 27B GLA G2 EXL3 4.0bpw is developed by TelperionAI, 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 GLA G2 EXL3 4.0bpw?

Qwen3.8 27B GLA G2 EXL3 4.0bpw is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.8 27B GLA G2 EXL3 4.0bpw by TelperionAI — VRAM 1GB

Name: Qwen3.8 27B GLA G2 EXL3 4.0bpw
Author: TelperionAI

Qwen3.8 27B GLA G2 EXL3 4.0bpw is an open-source language model by TelperionAI. Features: 27b LLM, VRAM: 1GB, License: apache-2.0, LLM Explorer Score: 0.3.

4-bit Base model:quantized:telperion... Base model:telperionai/qwen3.8... Conversational Exl3 Exllamav3 Grouped-latent-attention Kv-cache-compression Long-context Mla Qwen3 Qwen3 5 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/TelperionAI/Qwen3.8-27B-GLA-g2-EXL3-4.0bpw

Qwen3.8 27B GLA G2 EXL3 4.0bpw Parameters and Internals

LLM Name	Qwen3.8 27B GLA G2 EXL3 4.0bpw
Repository 🤗	https://huggingface.co/TelperionAI/Qwen3.8-27B-GLA-g2-EXL3-4.0bpw
Base Model(s)	TelperionAI/Qwen3.8-27B-GLA-g2 TelperionAI/Qwen3.8-27B-GLA-g2
Model Size	27b
Required VRAM	1 GB
Updated	2026-10-11
Maintainer	TelperionAI
Model Type	qwen3_5
Model Files	5.4 GB 5.4 GB 5.4 GB 1.0 GB
Model Architecture	Qwen3_5MLAForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.16.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

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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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