What are the hardware requirements for Qwen3.5 2B Base 6bit?

Qwen3.5 2B Base 6bit requires approximately 1.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.5 2B Base 6bit and how large is it?

Qwen3.5 2B Base 6bit is developed by nikimori, 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 Base 6bit?

Qwen3.5 2B Base 6bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.5 2B Base 6bit by nikimori — VRAM 1.5GB

Name: Qwen3.5 2B Base 6bit
Author: nikimori

Qwen3.5 2B Base 6bit is an open-source language model by nikimori. Features: 2b LLM, VRAM: 1.5GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.32.

6-bit 6bit Base model:quantized:qwen/qwen... Base model:qwen/qwen3.5-2b-bas... Conversational Mlx Quantized Qwen3 5 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/nikimori/Qwen3.5-2B-Base-6bit

Qwen3.5 2B Base 6bit Parameters and Internals

LLM Name	Qwen3.5 2B Base 6bit
Repository 🤗	https://huggingface.co/nikimori/Qwen3.5-2B-Base-6bit
Base Model(s)	Qwen/Qwen3.5-2B-Base Qwen/Qwen3.5-2B-Base
Model Size	2b
Required VRAM	1.5 GB
Updated	2026-10-19
Maintainer	nikimori
Model Type	qwen3_5
Model Files	1.5 GB
Quantization Type	6bit
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 2B Base 6bit 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 Base 6bit

Best Alternatives	Context / RAM	Downloads	Likes
Loopl 2B 4bit	0K / 1.7 GB	137	1
Qwen3.5 2B MLX 4bit	0K / 1.7 GB	12310	2
Qwen3.8 2B Distill Mlx 5Bit	0K / 1.3 GB	387	1
Qwen3.5 2B 6bit	0K / 2.2 GB	8680	7
Mavery Geselle 2B MLX 4bit	0K / 1.7 GB	77	2
Qwen3.5 2B 4bit	0K / 1.7 GB	5374	5
Qwen3.5 2B OptiQ 4bit	0K / 0.7 GB	1296	12
Spartan 1.2 2B MLX 8bit	0K / 1.1 GB	27	0
Qwen3.5 2B 8bit	0K / 2.7 GB	202	1
Qwen3.5 2B	0K / 4.5 GB	2633311	352

Note: green Score (e.g. "73.2") means that the model is better than nikimori/Qwen3.5-2B-Base-6bit.