What are the hardware requirements for VIC 2B?

VIC 2B requires approximately 1.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed VIC 2B and how large is it?

VIC 2B is developed by rahul05ranjan, 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 VIC 2B?

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

VIC 2B by rahul05ranjan — VRAM 1.5GB

Name: VIC 2B
Author: rahul05ranjan

VIC 2B is an open-source language model by rahul05ranjan. Features: 2b LLM, VRAM: 1.5GB, License: apache-2.0, LLM Explorer Score: 0.29.

6-bit Base model:quantized:qwen/qwen... Base model:qwen/qwen3.5-2b Conversational Csv Dataset:xlangai/spider En Local Mlx Model-index Planner Qwen3 5 Region:us Safetensors Table-question-answering Tabular Text-to-plan Vasuki

Model Card on HF 🤗: https://huggingface.co/rahul05ranjan/VIC-2B

VIC 2B Parameters and Internals

LLM Name	VIC 2B
Repository 🤗	https://huggingface.co/rahul05ranjan/VIC-2B
Base Model(s)	Qwen/Qwen3.5-2B Qwen/Qwen3.5-2B
Model Size	2b
Required VRAM	1.5 GB
Updated	2026-10-13
Maintainer	rahul05ranjan
Model Type	qwen3_5
Model Files	1.5 GB
Supported Languages	en
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	4.57.0.dev0
Tokenizer Class	Qwen3_5Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the VIC 2B 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 VIC 2B

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.5 2B	0K / 4.5 GB	2633311	352
WeMM Embedding 2B	0K / 5.4 GB	5433	68
Qwen3.5 2B Base	0K / 4.5 GB	809591	82
...e Qwen3.5 2B Decision MLX Bf16	0K / 3.8 GB	2801	2
Qwen3.8 2B Distill	0K / 4.5 GB	2056	24
Qwen3.5 2B	0K / 4.5 GB	103487	18
Intern Decision 2B	0K / 0.1 GB	162	9
Qwen3.5 2B Multiharness RL	0K / 4.4 GB	271	1
Qwen3.8 2B Distill Heretic	0K / 4.4 GB	226	1
Loopl 2B	0K / 4.4 GB	85	1

Note: green Score (e.g. "73.2") means that the model is better than rahul05ranjan/VIC-2B.