What are the hardware requirements for Qwen3.8 27B OQ4e G128 Fp16 Mtp?

Qwen3.8 27B OQ4e G128 Fp16 Mtp requires approximately 17.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.8 27B OQ4e G128 Fp16 Mtp and how large is it?

Qwen3.8 27B OQ4e G128 Fp16 Mtp is developed by chimpanzeetaxidriver, 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 OQ4e G128 Fp16 Mtp?

Qwen3.8 27B OQ4e G128 Fp16 Mtp is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.8 27B OQ4e G128 Fp16 Mtp by chimpanzeetaxidriver — VRAM 17.1GB

Name: Qwen3.8 27B OQ4e G128 Fp16 Mtp
Author: chimpanzeetaxidriver

Qwen3.8 27B OQ4e G128 Fp16 Mtp is an open-source language model by chimpanzeetaxidriver. Features: 27b LLM, VRAM: 17.1GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.31.

4-bit Base model:quantized:qwen/qwen... Base model:qwen/qwen3.8-27b Conversational Fp16 Image-text-to-text Mlx Oq Quantized Qwen3 5 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/chimpanzeetaxidriver/Qwen3.8-27B-oQ4e-G128-fp16-mtp

Qwen3.8 27B OQ4e G128 Fp16 Mtp Parameters and Internals

LLM Name	Qwen3.8 27B OQ4e G128 Fp16 Mtp
Repository 🤗	https://huggingface.co/chimpanzeetaxidriver/Qwen3.8-27B-oQ4e-G128-fp16-mtp
Base Model(s)	Qwen/Qwen3.8-27B Qwen/Qwen3.8-27B
Model Size	27b
Required VRAM	17.1 GB
Updated	2026-08-16
Maintainer	chimpanzeetaxidriver
Model Type	qwen3_5
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 5.0 GB: 3-of-4 2.1 GB: 4-of-4
Quantization Type	fp16
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 OQ4e G128 Fp16 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 27B OQ4e G128 Fp16 Mtp

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.6 27B OptiQ 4bit	256K / 18.7 GB	13065	59
Qwen3.8 27B 8bit	0K / 29.4 GB	13892	33
Bonsai 27B Mlx 1bit	0K / 5.1 GB	809309	205
Ternary Bonsai 27B Mlx 2bit	0K / 8.5 GB	809024	168
Qwen3.8 27B 4bit	0K / 16 GB	6055	27
Qwen3.8 27B MLX 4bit	0K / 16 GB	19712	10
Qwen3.8 27B MLX 8bit	0K / 29.4 GB	24811	7
Qwen3.6 27B MLX 8bit	0K / 29.4 GB	879145	14
Qwen3.6 27B MLX 6bit	0K / 22.7 GB	812977	2
Qwen3.6 27B MLX 4bit	0K / 16 GB	846861	16

Note: green Score (e.g. "73.2") means that the model is better than chimpanzeetaxidriver/Qwen3.8-27B-oQ4e-G128-fp16-mtp.