What are the hardware requirements for Qwen3.8 27B Cold Fusion GAIN V1.1 NM DAU NEO MAX MTP GGUF Etheroi?

Qwen3.8 27B Cold Fusion GAIN V1.1 NM DAU NEO MAX MTP GGUF Etheroi requires approximately 0.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Where can I download or evaluate Qwen3.8 27B Cold Fusion GAIN V1.1 NM DAU NEO MAX MTP GGUF Etheroi?

Qwen3.8 27B Cold Fusion GAIN V1.1 NM DAU NEO MAX MTP GGUF Etheroi is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.8 27B Cold Fusion GAIN V1.1 NM DAU NEO MAX MTP GGUF Etheroi by developerjeremylive — VRAM 0.9GB

Name: Qwen3.8 27B Cold Fusion GAIN V1.1 NM DAU NEO MAX MTP GGUF Etheroi
Author: developerjeremylive

Qwen3.8 27B Cold Fusion GAIN V1.1 NM DAU NEO MAX MTP GGUF Etheroi is an open-source language model by developerjeremylive. Features: 27b LLM, VRAM: 0.9GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.29.

All genres All use cases Base model:davidau/qwen3.8-27b... Base model:quantized:davidau/q... Bfloat16 Coder Cold-fusion Conversational Creative Creative writing Dataset:davidau/polar-strict-d... Dataset:davidau/reasoning-stri... En Endpoints compatible Fiction Finetuned Gain training Gguf Image-text-to-text Imatrix Mtp gguf quants Multi-stage tuned Q6 Quantized Qwen3.8 Qwen3 5 Reasoning Region:us Regular gguf quants Roleplaying Story Thinking Unsloth Writing Zh

Model Card on HF 🤗: https://huggingface.co/developerjeremylive/Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-NM-DAU-NEO-MAX-MTP-GGUF-etheroi

Qwen3.8 27B Cold Fusion GAIN V1.1 NM DAU NEO MAX MTP GGUF Etheroi Parameters and Internals

LLM Name	Qwen3.8 27B Cold Fusion GAIN V1.1 NM DAU NEO MAX MTP GGUF Etheroi
Repository 🤗	https://huggingface.co/developerjeremylive/Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-NM-DAU-NEO-MAX-MTP-GGUF-etheroi
Base Model(s)	DavidAU/Qwen3.8-27B-Cold-Fusion-GAIN-V1.1 DavidAU/Qwen3.8-27B-Cold-Fusion-GAIN-V1.1
Model Size	27b
Required VRAM	0.9 GB
Updated	2026-08-20
Maintainer	developerjeremylive
Model Type	qwen3_5
Model Files	11.7 GB 14.1 GB 17.3 GB 16.6 GB 15.3 GB 22.4 GB 12.1 GB 14.5 GB 17.8 GB 17.0 GB 18.5 GB 17.5 GB 21.2 GB 20.6 GB 24.0 GB 30.2 GB 18.0 GB 17.1 GB 20.7 GB 20.2 GB 23.6 GB 29.8 GB 0.9 GB 0.9 GB 1.8 GB
Supported Languages	en zh
GGUF Quantization	Yes
Quantization Type	gguf\|q6\|q4_k\|q5_k
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Transformers Version	5.8.0.dev0

Rank the Qwen3.8 27B Cold Fusion GAIN V1.1 NM DAU NEO MAX MTP GGUF Etheroi 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 Cold Fusion GAIN V1.1 NM DAU NEO MAX MTP GGUF Etheroi

Best Alternatives	Context / RAM	Downloads	Likes
...N V1.1 NM DAU NEO MAX MTP GGUF	0K / 0.9 GB	421538	328
... Opus Reasoning Distilled GGUF	0K / 0.9 GB	67921	679
Qwen3.8 27B GGUF	0K / 0.9 GB	0	685
...B Abliterated V2 PQ2 0 MTP MLX	0K / 0.8 GB	2770	7
Qwen3.8 27B OBLITERATED	0K / 83.2 GB	630	1
...inkingCap Qwen3.8 27B MIX GGUF	0K / 13.4 GB	1395	7
Swift Qwen3.8 27B MIX GGUF	0K / 0.9 GB	2219	2
...N Blackwell DFlash2 Ultra V1.0	0K / 0.9 GB	3531	3
Qwen3.8 27B Taiwan Pilled	0K / 55.6 GB	499	1
EleMo V3 Base	0K / 0.9 GB	1989	1

Note: green Score (e.g. "73.2") means that the model is better than developerjeremylive/Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-NM-DAU-NEO-MAX-MTP-GGUF-etheroi.