What are the hardware requirements for Qwen3.8 27B Cold Fusion FF711 Darker Hero GAIN B Mxfp8 Mlx?

Qwen3.8 27B Cold Fusion FF711 Darker Hero GAIN B Mxfp8 Mlx requires approximately 28.7 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 FF711 Darker Hero GAIN B Mxfp8 Mlx?

Qwen3.8 27B Cold Fusion FF711 Darker Hero GAIN B Mxfp8 Mlx 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 FF711 Darker Hero GAIN B Mxfp8 Mlx by nightmedia — VRAM 28.7GB

Name: Qwen3.8 27B Cold Fusion FF711 Darker Hero GAIN B Mxfp8 Mlx
Author: nightmedia

Qwen3.8 27B Cold Fusion FF711 Darker Hero GAIN B Mxfp8 Mlx is an open-source language model by nightmedia. Features: 27b LLM, VRAM: 28.7GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.33.

1m context 256k context 8-bit All genres All use cases Base model:adapter:davidau/qwe... Base model:davidau/qwen3.6-27b... Bf16 Chain-of-thought Claude-distillation Claude4.6 Coding Conversational Creative Creative writing Deckard(qx) Distillation En Endpoints compatible Es Experimental Fable Fiction Fiction story Fiction writing Image-text-to-text Instruct Instruction-tuned Ja Long-cot Lora Math Merge Mergekit Mlx Multilingual Plot generation Polaris Polaris-alpha Qwen Qwen3.5 Qwen3.6 Qwen3 5 Qwen3 6 Reasoning Region:us Research Roleplaying Safetensors Scene continue Science fiction Sft Sharded Stem Story Story generation Storytelling Sub-plot generation Tensorflow Unsloth Vivid prosing Vivid writing Writing Zh

Model Card on HF 🤗: https://huggingface.co/nightmedia/Qwen3.8-27B-Cold-Fusion-FF711-Darker-Hero-GAIN-B-mxfp8-mlx

Qwen3.8 27B Cold Fusion FF711 Darker Hero GAIN B Mxfp8 Mlx Parameters and Internals

LLM Name	Qwen3.8 27B Cold Fusion FF711 Darker Hero GAIN B Mxfp8 Mlx
Repository 🤗	https://huggingface.co/nightmedia/Qwen3.8-27B-Cold-Fusion-FF711-Darker-Hero-GAIN-B-mxfp8-mlx
Model Name	unsloth/Qwen3.8-27B
Base Model(s)	DavidAU/Qwen3.8-27B-Cold-Fusion-GAIN-V1.1 DavidAU/Qwen3.6-27B-V1.1-FF711-Darker-Hero-GAIN-H2.0 DavidAU/Qwen3.8-27B-Cold-Fusion-GAIN-V1.1 DavidAU/Qwen3.6-27B-V1.1-FF711-Darker-Hero-GAIN-H2.0
Model Size	27b
Required VRAM	28.7 GB
Updated	2026-08-19
Maintainer	nightmedia
Model Type	qwen3_5
Instruction-Based	Yes
Model Files	5.3 GB: 1-of-6 5.3 GB: 2-of-6 5.3 GB: 3-of-6 5.3 GB: 4-of-6 5.3 GB: 5-of-6 2.2 GB: 6-of-6
Supported Languages	en zh ja es
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.14.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3.8 27B Cold Fusion FF711 Darker Hero GAIN B Mxfp8 Mlx 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

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Note: green Score (e.g. "73.2") means that the model is better than nightmedia/Qwen3.8-27B-Cold-Fusion-FF711-Darker-Hero-GAIN-B-mxfp8-mlx.