What are the hardware requirements for Qwen3.5 2B Manumit V2?

Qwen3.5 2B Manumit V2 requires approximately 4.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.5 2B Manumit V2 and how large is it?

Qwen3.5 2B Manumit V2 is developed by yethdev, a model with 2b 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 2B Manumit V2?

Qwen3.5 2B Manumit V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.5 2B Manumit V2 by yethdev — VRAM 4.4GB

Name: Qwen3.5 2B Manumit V2
Author: yethdev

Qwen3.5 2B Manumit V2 is an open-source language model by yethdev. Features: 2b LLM, VRAM: 4.4GB, License: mit, LLM Explorer Score: 0.31.

Abliterated Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.5-2b Conversational Endpoints compatible Image-text-to-text Qwen3 5 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/yethdev/qwen3.5-2b-manumit-v2

Qwen3.5 2B Manumit V2 Parameters and Internals

LLM Name	Qwen3.5 2B Manumit V2
Repository 🤗	https://huggingface.co/yethdev/qwen3.5-2b-manumit-v2
Base Model(s)	Qwen/Qwen3.5-2B Qwen/Qwen3.5-2B
Model Size	2b
Required VRAM	4.4 GB
Updated	2026-09-07
Maintainer	yethdev
Model Type	qwen3_5
Model Files	4.4 GB
Model Architecture	Qwen3_5ForConditionalGeneration
License	mit
Model Max Length	262144
Transformers Version	5.14.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3.5 2B Manumit V2 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 2B Manumit V2

Best Alternatives	Context / RAM	Downloads	Likes
WeMM Embedding 2B	0K / 5.4 GB	5433	68
Qwen3.5 2B	0K / 4.5 GB	2633311	352
Qwen3.5 2B Base	0K / 4.5 GB	809591	82
Qwen3.8 2B Distill	0K / 4.5 GB	2056	24
Qwen3.5 2B	0K / 4.5 GB	103487	18
Qwen3.8 2B	0K / 4.5 GB	319	13
Qwen3.5 2B Finance Alpaca	0K / 4.4 GB	116	1
JOSIE 2 2B OSS	0K / 4.5 GB	484	8
Qwen3.8 2B Heretic Max	0K / 4.4 GB	248	0
Qwen3.8 2B Heretic Balanced	0K / 4.4 GB	237	0

Note: green Score (e.g. "73.2") means that the model is better than yethdev/qwen3.5-2b-manumit-v2.