What are the hardware requirements for Qwen3.8 27B OBLITERATED Mythos Class Agentic MLX 6bit?

Qwen3.8 27B OBLITERATED Mythos Class Agentic MLX 6bit requires approximately 22.9 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 OBLITERATED Mythos Class Agentic MLX 6bit?

Qwen3.8 27B OBLITERATED Mythos Class Agentic MLX 6bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.8 27B OBLITERATED Mythos Class Agentic MLX 6bit by uzzero — VRAM 22.9GB

Name: Qwen3.8 27B OBLITERATED Mythos Class Agentic MLX 6bit
Author: uzzero

Qwen3.8 27B OBLITERATED Mythos Class Agentic MLX 6bit is an open-source language model by uzzero. Features: 27b LLM, VRAM: 22.9GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.31.

6-bit 6bit Base model:medismera/qwen3.8-2... Base model:quantized:medismera... Conversational Image-text-to-text Mlx Quantized Qwen3 5 Region:us Safetensors Sharded Tensorflow Tool-use

Model Card on HF 🤗: https://huggingface.co/uzzero/Qwen3.8-27B-OBLITERATED-Mythos-Class-Agentic-MLX-6bit

Qwen3.8 27B OBLITERATED Mythos Class Agentic MLX 6bit Parameters and Internals

LLM Name	Qwen3.8 27B OBLITERATED Mythos Class Agentic MLX 6bit
Repository 🤗	https://huggingface.co/uzzero/Qwen3.8-27B-OBLITERATED-Mythos-Class-Agentic-MLX-6bit
Base Model(s)	medismera/Qwen3.8-27B-OBLITERATED-Mythos-Class-Agentic medismera/Qwen3.8-27B-OBLITERATED-Mythos-Class-Agentic
Model Size	27b
Required VRAM	22.9 GB
Updated	2026-09-16
Maintainer	uzzero
Model Type	qwen3_5
Model Files	0.9 GB: 1-of-22 1.1 GB: 2-of-22 1.1 GB: 3-of-22 1.1 GB: 4-of-22 1.0 GB: 5-of-22 1.1 GB: 6-of-22 1.1 GB: 7-of-22 1.0 GB: 8-of-22 1.1 GB: 9-of-22 1.0 GB: 10-of-22 1.1 GB: 11-of-22 1.1 GB: 12-of-22 1.0 GB: 13-of-22 1.1 GB: 14-of-22 1.0 GB: 15-of-22 1.1 GB: 16-of-22 1.1 GB: 17-of-22 1.0 GB: 18-of-22 1.1 GB: 19-of-22 1.0 GB: 20-of-22 0.8 GB: 21-of-22 1.0 GB: 22-of-22
Quantization Type	6bit
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.8.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3.8 27B OBLITERATED Mythos Class Agentic MLX 6bit 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 OBLITERATED Mythos Class Agentic MLX 6bit

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.6 27B OptiQ 4bit	256K / 18.7 GB	13065	59
Bonsai 27B Mlx 1bit	0K / 5.1 GB	809309	205
Ternary Bonsai 27B Mlx 2bit	0K / 8.5 GB	809024	168
Qwen3.8 27B MLX 5bit	0K / 19.5 GB	4675044	2
...wift Qwen3.8 27B OQ4e Fp16 Mtp	0K / 17.8 GB	663	10
Qwen3.6 27B MLX 8bit	0K / 29.4 GB	879145	14
Qwen3.6 27B MLX 6bit	0K / 22.7 GB	812977	2
Qwen3.8 27B 8bit	0K / 29.4 GB	13892	33
Qwen3.6 27B MLX 4bit	0K / 16 GB	846861	16
Qwen3.8 27B MLX 8bit	0K / 29.4 GB	24811	7

Note: green Score (e.g. "73.2") means that the model is better than uzzero/Qwen3.8-27B-OBLITERATED-Mythos-Class-Agentic-MLX-6bit.