What are the hardware requirements for Qwen3.8 27B Parapraxis Mxfp8 Mlx?

Qwen3.8 27B Parapraxis Mxfp8 Mlx requires approximately 28.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.8 27B Parapraxis Mxfp8 Mlx and how large is it?

Qwen3.8 27B Parapraxis Mxfp8 Mlx is developed by nightmedia, 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 Parapraxis Mxfp8 Mlx?

Qwen3.8 27B Parapraxis 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 Parapraxis Mxfp8 Mlx by nightmedia — VRAM 28.7GB

Name: Qwen3.8 27B Parapraxis Mxfp8 Mlx
Author: nightmedia

Qwen3.8 27B Parapraxis 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: 0.31.

1m context 256k context 8-bit All genres All use cases Base model:adapter:freedominte... Base model:freedomintelligence... 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 Humour 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-Parapraxis-mxfp8-mlx

Qwen3.8 27B Parapraxis Mxfp8 Mlx Parameters and Internals

LLM Name	Qwen3.8 27B Parapraxis Mxfp8 Mlx
Repository 🤗	https://huggingface.co/nightmedia/Qwen3.8-27B-Parapraxis-mxfp8-mlx
Base Model(s)	HuatuoGPT 3 27B nightmedia/Qwen3.8-27B-Brainwaves FreedomIntelligence/HuatuoGPT-3-27B nightmedia/Qwen3.8-27B-Brainwaves
Model Size	27b
Required VRAM	28.7 GB
Updated	2026-09-28
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	5.17.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3.8 27B Parapraxis Mxfp8 Mlx 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

Best Alternatives to Qwen3.8 27B Parapraxis Mxfp8 Mlx

Best Alternatives	Context / RAM	Downloads	Likes
...27B USS Collective Qx64 Hi Mlx	0K / 21 GB	417	2
Qwopus3.8 27B Flash V2	0K / 55.6 GB	126	17
...en3.8 27B MindMeld Qx64 Hi Mlx	0K / 21 GB	346	1
Qwopus3.8 27B Flash	0K / 55.6 GB	234	19
Tmax 27B	0K / 53.8 GB	4630	26
Qwopus3.8 27B Flash V2 W4A16	0K / 18.6 GB	27	2
Qwen3.8 27B FULL NVFP4	0K / 18.8 GB	336	2
...8 27B Brainwaves WFH Mxfp4 Mlx	0K / 15.1 GB	490	1
...sion GAIN V1.1 Fable Mxfp8 Mlx	0K / 28.7 GB	720	2
...1 Darker Hero GAIN B Mxfp8 Mlx	0K / 28.7 GB	609	2

Note: green Score (e.g. "73.2") means that the model is better than nightmedia/Qwen3.8-27B-Parapraxis-mxfp8-mlx.