What are the hardware requirements for Qwen3.5 27B FACEBOOK E2 BF16?

Qwen3.5 27B FACEBOOK E2 BF16 requires approximately 55.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.5 27B FACEBOOK E2 BF16 and how large is it?

Qwen3.5 27B FACEBOOK E2 BF16 is developed by taharmasmaliyev07, 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 Qwen3.5 27B FACEBOOK E2 BF16?

Qwen3.5 27B FACEBOOK E2 BF16 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.5 27B FACEBOOK E2 BF16 by taharmasmaliyev07 — VRAM 55.2GB

Name: Qwen3.5 27B FACEBOOK E2 BF16
Author: taharmasmaliyev07

Qwen3.5 27B FACEBOOK E2 BF16 is an open-source language model by taharmasmaliyev07. Features: 27b LLM, VRAM: 55.2GB, License: apache-2.0, LLM Explorer Score: 0.3.

Base model:finetune:taharmasma... Base model:taharmasmaliyev07/q... Conversational En Endpoints compatible Image-text-to-text Qwen3 5 Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/taharmasmaliyev07/Qwen3.5-27B-FACEBOOK-E2-BF16

Qwen3.5 27B FACEBOOK E2 BF16 Parameters and Internals

LLM Name	Qwen3.5 27B FACEBOOK E2 BF16
Repository 🤗	https://huggingface.co/taharmasmaliyev07/Qwen3.5-27B-FACEBOOK-E2-BF16
Base Model(s)	taharmasmaliyev07/Qwen3.5-27B-FACEBOOK-E2-BF16 taharmasmaliyev07/Qwen3.5-27B-FACEBOOK-E2-BF16
Model Size	27b
Required VRAM	55.2 GB
Updated	2026-11-10
Maintainer	taharmasmaliyev07
Model Type	qwen3_5
Model Files	5.3 GB: 1-of-11 5.3 GB: 2-of-11 5.3 GB: 3-of-11 5.3 GB: 4-of-11 5.3 GB: 5-of-11 5.3 GB: 6-of-11 5.3 GB: 7-of-11 5.4 GB: 8-of-11 5.3 GB: 9-of-11 5.3 GB: 10-of-11 2.1 GB: 11-of-11
Supported Languages	en
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 Qwen3.5 27B FACEBOOK E2 BF16 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 Qwen3.5 27B FACEBOOK E2 BF16

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
Arete 27B	0K / 54.7 GB	2407	346
Clef	0K / 54.7 GB	22043	2237
Qwen3.6 27B	0K / 55.4 GB	6728138	2197
Qwen3.8 27B	0K / 55.6 GB	2	8753
Qwen3.8 27B NVFP4 DGX SPARK V2	0K / 19.8 GB	11317	113
Qwen3.6 27B NVFP4	0K / 22 GB	1887525	419

Note: green Score (e.g. "73.2") means that the model is better than taharmasmaliyev07/Qwen3.5-27B-FACEBOOK-E2-BF16.