What are the hardware requirements for Qwen3.8 Flash Next MLX 4bit MTP?

Qwen3.8 Flash Next MLX 4bit MTP requires approximately 112.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.8 Flash Next MLX 4bit MTP and how large is it?

Qwen3.8 Flash Next MLX 4bit MTP is developed by Vontra, a model with 180b 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 Flash Next MLX 4bit MTP?

Qwen3.8 Flash Next MLX 4bit MTP is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.8 Flash Next MLX 4bit MTP by Vontra — VRAM 112.8GB

Name: Qwen3.8 Flash Next MLX 4bit MTP
Author: Vontra

Qwen3.8 Flash Next MLX 4bit MTP is an open-source language model by Vontra. Features: 180b LLM, VRAM: 112.8GB, License: other, Quantized, LLM Explorer Score: 0.29.

4-bit 4bit Apple-silicon Base model:quantized:qwen/qwen... Base model:qwen/qwen3.8-flash-... Conversational Image-text-to-text Mixture-of-experts Mlx Mlx-vlm Mtp Omlx Quantized Qwen Qwen3.8 Qwen4-exp Qwen4 exp Region:us Safetensors Sharded Speculative-decoding Tensorflow Vision Vision-language

Model Card on HF 🤗: https://huggingface.co/Vontra/Qwen3.8-Flash-Next-MLX-4bit-MTP

Qwen3.8 Flash Next MLX 4bit MTP Parameters and Internals

LLM Name	Qwen3.8 Flash Next MLX 4bit MTP
Repository 🤗	https://huggingface.co/Vontra/Qwen3.8-Flash-Next-MLX-4bit-MTP
Base Model(s)	Qwen/Qwen3.8-Flash-Next Qwen/Qwen3.8-Flash-Next
Model Size	180b
Required VRAM	112.8 GB
Updated	2026-09-16
Maintainer	Vontra
Model Type	qwen4_exp
Model Files	5.3 GB: 1-of-22 5.2 GB: 2-of-22 5.2 GB: 3-of-22 5.2 GB: 4-of-22 5.2 GB: 5-of-22 5.2 GB: 6-of-22 5.1 GB: 7-of-22 5.3 GB: 8-of-22 5.3 GB: 9-of-22 5.0 GB: 10-of-22 5.3 GB: 11-of-22 5.0 GB: 12-of-22 5.3 GB: 13-of-22 5.3 GB: 14-of-22 5.0 GB: 15-of-22 5.3 GB: 16-of-22 5.0 GB: 17-of-22 5.3 GB: 18-of-22 5.3 GB: 19-of-22 5.0 GB: 20-of-22 5.3 GB: 21-of-22 3.7 GB: 22-of-22
Quantization Type	4bit
Model Architecture	Qwen4ExpForConditionalGeneration
License	other
Model Max Length	262144
Transformers Version	5.8.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3.8 Flash Next MLX 4bit MTP 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 Flash Next MLX 4bit MTP

Best Alternatives	Context / RAM	Downloads	Likes
...wen3.8 Flash Next MLX 4bit MTP	0K / 112.8 GB	4460	12
...en3.8 Flash Next OQ4e Fp16 Mtp	0K / 107.6 GB	387	2
...3.8 Flash Next OQ3.5e Fp16 Mtp	0K / 90.7 GB	766	1
...en3.8 Flash Next OQ4e Fp16 Mtp	0K / 107.3 GB	746	2
...n3.8 Flash Next GSQ RCO Q2 Mlx	0K / 4.8 GB	445	2
...3.8 Flash Next OQ2.5e Fp16 Mtp	0K / 83.6 GB	213	3
Qwen3.8 Flash Next 4bit Mtp	0K / 112.9 GB	540	3
...3.8 Flash Next OQ3.5e Fp16 Mtp	0K / 97.2 GB	145	1
...en3.8 Flash Next OQ3e Fp16 Mtp	0K / 91.8 GB	132	1
...MLX Activation 3bit Native PLE	0K / 34.7 GB	284	1

Note: green Score (e.g. "73.2") means that the model is better than Vontra/Qwen3.8-Flash-Next-MLX-4bit-MTP.