What are the hardware requirements for Qwopus3.8 27B Flash Abliterated Attention8 Bf16recurrence Vision Mtplx?

Qwopus3.8 27B Flash Abliterated Attention8 Bf16recurrence Vision Mtplx 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 Qwopus3.8 27B Flash Abliterated Attention8 Bf16recurrence Vision Mtplx?

Qwopus3.8 27B Flash Abliterated Attention8 Bf16recurrence Vision Mtplx is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwopus3.8 27B Flash Abliterated Attention8 Bf16recurrence Vision Mtplx by Shiftedx — VRAM 22.9GB

Name: Qwopus3.8 27B Flash Abliterated Attention8 Bf16recurrence Vision Mtplx
Author: Shiftedx

Qwopus3.8 27B Flash Abliterated Attention8 Bf16recurrence Vision Mtplx is an open-source language model by Shiftedx. Features: 27b LLM, VRAM: 22.9GB, License: apache-2.0, LLM Explorer Score: 0.26.

4-bit Abliterated Base model:jackrong/qwopus3.8-... Base model:quantized:jackrong/... Conversational En Es Image-text-to-text Ja Mixed-precision Mlx Mtp Mtplx Quantized Qwen3 5 Qwen3 8 Region:us Ru Safetensors Sharded Speculative-decoding Tensorflow Vision Zh

Model Card on HF 🤗: https://huggingface.co/Shiftedx/qwopus3.8-27b-flash-abliterated-attention8-bf16recurrence-vision-mtplx

Qwopus3.8 27B Flash Abliterated Attention8 Bf16recurrence Vision Mtplx Parameters and Internals

LLM Name	Qwopus3.8 27B Flash Abliterated Attention8 Bf16recurrence Vision Mtplx
Repository 🤗	https://huggingface.co/Shiftedx/qwopus3.8-27b-flash-abliterated-attention8-bf16recurrence-vision-mtplx
Model Name	/workspace/renji-training/Jackrong/Qwen3.8-27B
Base Model(s)	Jackrong/Qwopus3.8-27B-Flash Jackrong/Qwopus3.8-27B-Flash
Model Size	27b
Required VRAM	22.9 GB
Updated	2026-09-07
Maintainer	Shiftedx
Model Type	qwen3_5
Model Files	5.3 GB: 1-of-5 5.3 GB: 2-of-5 5.3 GB: 3-of-5 4.7 GB: 4-of-5 1.4 GB: 5-of-5 0.9 GB: 1-of-1
Supported Languages	en zh es ru ja
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Torch Data Type	bfloat16
Errors	replace

Rank the Qwopus3.8 27B Flash Abliterated Attention8 Bf16recurrence Vision Mtplx 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 Qwopus3.8 27B Flash Abliterated Attention8 Bf16recurrence Vision Mtplx

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	86	3
Qwen3.8 27B NPU2	256K / GB	252	4
JEV 27B VL	0K / 55.6 GB	1525286	966
Clef	0K / 54.7 GB	22043	2237
Qwen3.8 27B NVFP4 DGX SPARK V2	0K / 19.8 GB	11317	113
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

Note: green Score (e.g. "73.2") means that the model is better than Shiftedx/qwopus3.8-27b-flash-abliterated-attention8-bf16recurrence-vision-mtplx.