What are the hardware requirements for Qwen3.8 27B Fimi 4?

Qwen3.8 27B Fimi 4 requires approximately 54.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.8 27B Fimi 4 and how large is it?

Qwen3.8 27B Fimi 4 is developed by nlpguy, 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 Fimi 4?

Qwen3.8 27B Fimi 4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.8 27B Fimi 4 by nlpguy — VRAM 54.6GB

Name: Qwen3.8 27B Fimi 4
Author: nlpguy

Qwen3.8 27B Fimi 4 is an open-source language model by nlpguy. Features: 27b LLM, VRAM: 54.6GB, LLM Explorer Score: 0.29.

Arxiv:2601.13572 Base model:allenai/tmax-27b Base model:beyoru/kiwen1.1-27b Base model:bottlecapai/thinkin... Base model:danielbrdz/barcenas... Base model:empero-ai/qwythos-2... Base model:merge:allenai/tmax-... Base model:merge:beyoru/kiwen1... Base model:merge:bottlecapai/t... Base model:merge:danielbrdz/ba... Base model:merge:empero-ai/qwy... Base model:merge:migtissera/te... Base model:merge:qwen/qwen3.5-... Base model:merge:teichai/qwen3... Base model:migtissera/tess-4-2... Base model:qwen/qwen3.5-27b Base model:teichai/qwen3.8-27b... Conversational Endpoints compatible Image-text-to-text Merge Mergekit Qwen3 5 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/nlpguy/Qwen3.8-27B-Fimi-4

Qwen3.8 27B Fimi 4 Parameters and Internals

LLM Name	Qwen3.8 27B Fimi 4
Repository 🤗	https://huggingface.co/nlpguy/Qwen3.8-27B-Fimi-4
Base Model(s)	Danielbrdz/Barcenas-Qwen3.8-27B-Fable beyoru/Kiwen1.1-27B Qwythos 27B V1 Qwen/Qwen3.5-27B bottlecapai/ThinkingCap-Qwen3.6-27B TeichAI/Qwen3.8-27B-Fable-Distill Tmax 27B Tess 4 27B Danielbrdz/Barcenas-Qwen3.8-27B-Fable beyoru/Kiwen1.1-27B empero-ai/Qwythos-27B-v1 Qwen/Qwen3.5-27B bottlecapai/ThinkingCap-Qwen3.6-27B TeichAI/Qwen3.8-27B-Fable-Distill allenai/tmax-27b migtissera/Tess-4-27B
Model Size	27b
Required VRAM	54.6 GB
Updated	2026-08-26
Maintainer	nlpguy
Model Type	qwen3_5
Model Files	2.5 GB: 1-of-12 4.8 GB: 2-of-12 5.0 GB: 3-of-12 4.9 GB: 4-of-12 5.0 GB: 5-of-12 4.9 GB: 6-of-12 5.0 GB: 7-of-12 4.9 GB: 8-of-12 5.0 GB: 9-of-12 4.9 GB: 10-of-12 4.9 GB: 11-of-12 2.8 GB: 12-of-12
Model Architecture	Qwen3_5ForConditionalGeneration
Model Max Length	262144
Transformers Version	5.12.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3.8 27B Fimi 4 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

Best Alternatives to Qwen3.8 27B Fimi 4

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.8 27B MLX	0K / 16 GB	1411	18
Qwen3.8 27B FP8	0K / 0.4 GB	123157	416
Qwen3.8 27B	0K / 55.6 GB	2727	21
Qwen3.6 27B	0K / 55.4 GB	6728138	2197
Qwen3.8 27B	0K / 55.6 GB	2	8753
Qwen3.6 27B NVFP4	0K / 22 GB	1887525	419
Qwen3.6 27B FP8	0K / 0.4 GB	7740472	342
ThinkingCap Qwen3.6 27B	0K / 54.7 GB	35947	614
Qwen3.5 27B	0K / 55.2 GB	2536294	1028
Qwen3.5 27B	0K / 55.2 GB	8115	16

Note: green Score (e.g. "73.2") means that the model is better than nlpguy/Qwen3.8-27B-Fimi-4.