What are the hardware requirements for Qwen3.5 4B Bos 32768?

Qwen3.5 4B Bos 32768 requires approximately 8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.5 4B Bos 32768 and how large is it?

Qwen3.5 4B Bos 32768 is developed by alphaedge-ai, a model with 4b 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 4B Bos 32768?

Qwen3.5 4B Bos 32768 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.5 4B Bos 32768 by alphaedge-ai — VRAM 8GB

Name: Qwen3.5 4B Bos 32768
Author: alphaedge-ai

Qwen3.5 4B Bos 32768 is an open-source language model by alphaedge-ai. Features: 4b LLM, VRAM: 8GB, License: apache-2.0, LLM Explorer Score: 0.23.

Bos Conversational Dataset:lbourdois/fineweb-2-tr... Endpoints compatible Image-text-to-text Qwen3 5 Region:eu Safetensors Trimmed

Model Card on HF 🤗: https://huggingface.co/alphaedge-ai/Qwen3.5-4B-bos-32768

Qwen3.5 4B Bos 32768 Parameters and Internals

LLM Name	Qwen3.5 4B Bos 32768
Repository 🤗	https://huggingface.co/alphaedge-ai/Qwen3.5-4B-bos-32768
Base Model(s)	Qwen3.5-4B /Qwen3.5-4B
Model Size	4b
Required VRAM	8 GB
Updated	2026-09-26
Maintainer	alphaedge-ai
Model Type	qwen3_5
Model Files	8.0 GB
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	4.57.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3.5 4B Bos 32768 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

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Note: green Score (e.g. "73.2") means that the model is better than alphaedge-ai/Qwen3.5-4B-bos-32768.