What are the hardware requirements for Qwen3.8 27B DSpine B16 MLX?

Qwen3.8 27B DSpine B16 MLX requires approximately 4 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.8 27B DSpine B16 MLX and how large is it?

Qwen3.8 27B DSpine B16 MLX is developed by netprojects, 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 DSpine B16 MLX?

Qwen3.8 27B DSpine B16 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 DSpine B16 MLX by netprojects — VRAM 4GB, 256K context

Name: Qwen3.8 27B DSpine B16 MLX
Author: netprojects

Qwen3.8 27B DSpine B16 MLX is an open-source language model by netprojects. Features: 27b LLM, VRAM: 4GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.37.

Apple-silicon Base model:finetune:tencent/qw... Base model:tencent/qwen3.8-27b... Dspine Mlx Qwen3 Qwen3.8 Region:us Safetensors Speculative-decoding

Model Card on HF 🤗: https://huggingface.co/netprojects/Qwen3.8-27B-DSpine-b16-MLX

Qwen3.8 27B DSpine B16 MLX Parameters and Internals

LLM Name	Qwen3.8 27B DSpine B16 MLX
Repository 🤗	https://huggingface.co/netprojects/Qwen3.8-27B-DSpine-b16-MLX
Base Model(s)	tencent/Qwen3.8-27B-DSpine-b16 tencent/Qwen3.8-27B-DSpine-b16
Model Size	27b
Required VRAM	4 GB
Updated	2026-11-10
Maintainer	netprojects
Model Type	qwen3
Model Files	4.0 GB
Model Architecture	DFlashDraftModel
License	apache-2.0
Context Length	262144
Model Max Length	262144
Vocabulary Size	248320
Torch Data Type	bfloat16

Rank the Qwen3.8 27B DSpine B16 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 DSpine B16 MLX

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.8 27B DSpine B16	256K / 4 GB	1464	144
Qwen3.5 27B DFlash	256K / 4.3 GB	79081	111
Qwen3.8 27B Heretic Dflash	256K / 3.5 GB	9775	1
Qwen3.8 27B DSpine B16 FP8	256K / 2.3 GB	74	1
Qwen3.8 27B DFlash	0K / 3.6 GB	23	0

Note: green Score (e.g. "73.2") means that the model is better than netprojects/Qwen3.8-27B-DSpine-b16-MLX.