What are the hardware requirements for Qwen3.8 27B Coder390 ET O5.5 G6A G4.7 DSV4 K3 RLOO MTP DFlash2 OQ4e?

Qwen3.8 27B Coder390 ET O5.5 G6A G4.7 DSV4 K3 RLOO MTP DFlash2 OQ4e requires approximately 16.2 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 Coder390 ET O5.5 G6A G4.7 DSV4 K3 RLOO MTP DFlash2 OQ4e?

Qwen3.8 27B Coder390 ET O5.5 G6A G4.7 DSV4 K3 RLOO MTP DFlash2 OQ4e is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.8 27B Coder390 ET O5.5 G6A G4.7 DSV4 K3 RLOO MTP DFlash2 OQ4e by hermitdave — VRAM 16.2GB

Name: Qwen3.8 27B Coder390 ET O5.5 G6A G4.7 DSV4 K3 RLOO MTP DFlash2 OQ4e
Author: hermitdave

Qwen3.8 27B Coder390 ET O5.5 G6A G4.7 DSV4 K3 RLOO MTP DFlash2 OQ4e is an open-source language model by hermitdave. Features: 27b LLM, VRAM: 16.2GB, License: apache-2.0, LLM Explorer Score: 0.32.

4-bit Affine Apple-silicon Base model:nerkyor/qwen3.8-27b... Base model:quantized:nerkyor/q... Conversational Hybrid-attention Mlx Mtp Oq4e Qwen3 5 Region:us Safetensors Sharded Speculative-decoding Tensorflow

Model Card on HF 🤗: https://huggingface.co/hermitdave/Qwen3.8-27B-Coder390-ET-O5.5-G6A-G4.7-DSV4-K3-RLOO-MTP-DFlash2-oQ4e

Qwen3.8 27B Coder390 ET O5.5 G6A G4.7 DSV4 K3 RLOO MTP DFlash2 OQ4e Parameters and Internals

LLM Name	Qwen3.8 27B Coder390 ET O5.5 G6A G4.7 DSV4 K3 RLOO MTP DFlash2 OQ4e
Repository 🤗	https://huggingface.co/hermitdave/Qwen3.8-27B-Coder390-ET-O5.5-G6A-G4.7-DSV4-K3-RLOO-MTP-DFlash2-oQ4e
Base Model(s)	nerkyor/Qwen3.8-27B-Coder390-EfficientThink-Opus5.5-GPT6Astra-Grok4.7-DSV4Pro-K3-SFT-RLOO-MTP-DFlash2 nerkyor/Qwen3.8-27B-Coder390-EfficientThink-Opus5.5-GPT6Astra-Grok4.7-DSV4Pro-K3-SFT-RLOO-MTP-DFlash2
Model Size	27b
Required VRAM	16.2 GB
Updated	2026-10-15
Maintainer	hermitdave
Model Type	qwen3_5
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 5.0 GB: 3-of-4 1.2 GB: 4-of-4
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 Coder390 ET O5.5 G6A G4.7 DSV4 K3 RLOO MTP DFlash2 OQ4e capabilities

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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 Coder390 ET O5.5 G6A G4.7 DSV4 K3 RLOO MTP DFlash2 OQ4e

Best Alternatives	Context / RAM	Downloads	Likes
...wopus3.8 27B Flash Mlx OQ4e 1M	1024K / 16.9 GB	211	1
Agens Pilot	1024K / 54.7 GB	97	3
Qwen3.8 27B NPU2	256K / GB	252	4
JEV 27B VL	0K / 55.6 GB	1525286	966
Clef	0K / 54.7 GB	18304	2161
Qwen3.6 27B	0K / 55.4 GB	6728138	2197
Qwen3.8 27B	0K / 55.6 GB	2	8753
Qwen3.8 27B	0K / 55.6 GB	2727	21
Qwen3.8 27B MLX	0K / 16 GB	1411	18
Qwen3.8 27B FP8	0K / 0.4 GB	123157	416

Note: green Score (e.g. "73.2") means that the model is better than hermitdave/Qwen3.8-27B-Coder390-ET-O5.5-G6A-G4.7-DSV4-K3-RLOO-MTP-DFlash2-oQ4e.