What are the hardware requirements for Qwen3.8 27B TM Multi S7 B4fb771daefe?

Qwen3.8 27B TM Multi S7 B4fb771daefe requires approximately 0.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.8 27B TM Multi S7 B4fb771daefe and how large is it?

Qwen3.8 27B TM Multi S7 B4fb771daefe 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 Qwen3.8 27B TM Multi S7 B4fb771daefe?

Qwen3.8 27B TM Multi S7 B4fb771daefe is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.8 27B TM Multi S7 B4fb771daefe by YFC-112358 — VRAM 0.1GB

Name: Qwen3.8 27B TM Multi S7 B4fb771daefe
Author: YFC-112358

Qwen3.8 27B TM Multi S7 B4fb771daefe is an open-source language model by YFC-112358. Features: 27b LLM, VRAM: 0.1GB, LLM Explorer Score: 0.25.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.8-27b Conversational Cpu-completed Endpoints compatible Image-text-to-text Partial-fusion Qwen3 5 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/YFC-112358/Qwen3.8-27B-TM-Multi-S7-b4fb771daefe

Qwen3.8 27B TM Multi S7 B4fb771daefe Parameters and Internals

LLM Name	Qwen3.8 27B TM Multi S7 B4fb771daefe
Repository 🤗	https://huggingface.co/YFC-112358/Qwen3.8-27B-TM-Multi-S7-b4fb771daefe
Base Model(s)	Qwen/Qwen3.8-27B Qwen/Qwen3.8-27B
Model Size	27b
Required VRAM	0.1 GB
Updated	2026-09-21
Maintainer	YFC-112358
Model Type	qwen3_5
Model Files	0.9 GB 1.0 GB 0.5 GB 1.0 GB 1.0 GB 0.1 GB 1.0 GB 0.9 GB 1.0 GB 1.1 GB 1.0 GB 1.0 GB 0.1 GB 1.0 GB 0.9 GB 1.0 GB 1.1 GB 1.0 GB 1.0 GB 0.1 GB 1.0 GB 0.9 GB 1.0 GB 1.1 GB 1.0 GB 1.0 GB 0.1 GB 1.0 GB 0.9 GB 1.0 GB 1.1 GB 1.0 GB 1.0 GB 0.1 GB 2.5 GB 0.8 GB 2.3 GB 2.2 GB 2.2 GB 2.8 GB
Model Architecture	Qwen3_5ForConditionalGeneration
Transformers Version	5.8.0.dev0

Rank the Qwen3.8 27B TM Multi S7 B4fb771daefe 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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...wopus3.8 27B Flash Mlx OQ4e 1M	1024K / 16.9 GB	211	1
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Qwen3.8 27B NPU2	256K / GB	252	4
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Qwen3.6 27B	0K / 55.4 GB	6728138	2197
Qwen3.8 27B	0K / 55.6 GB	2	8753

Note: green Score (e.g. "73.2") means that the model is better than YFC-112358/Qwen3.8-27B-TM-Multi-S7-b4fb771daefe.