What are the hardware requirements for ComputerScience V1 2B?

ComputerScience V1 2B requires approximately 3.9 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed ComputerScience V1 2B and how large is it?

ComputerScience V1 2B is developed by theprint, 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 ComputerScience V1 2B?

ComputerScience V1 2B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

ComputerScience V1 2B by theprint — VRAM 3.9GB, 256K context

Name: ComputerScience V1 2B
Author: theprint

ComputerScience V1 2B is an open-source language model by theprint. Features: 2b LLM, VRAM: 3.9GB, Context: 256K, LLM Explorer Score: 0.32.

Auto-sft Base model:adapter:unsloth/qwe... Base model:unsloth/qwen3.5-2b Conversational En Endpoints compatible Finetuned Lora Qwen3 5 text Region:us Safetensors Sft

Model Card on HF 🤗: https://huggingface.co/theprint/ComputerScience-v1-2B

ComputerScience V1 2B Parameters and Internals

LLM Name	ComputerScience V1 2B
Repository 🤗	https://huggingface.co/theprint/ComputerScience-v1-2B
Base Model(s)	unsloth/Qwen3.5-2B unsloth/Qwen3.5-2B
Model Size	2b
Required VRAM	3.9 GB
Updated	2026-09-15
Maintainer	theprint
Model Type	qwen3_5_text
Model Files	3.9 GB
Supported Languages	en
Model Architecture	Qwen3_5ForCausalLM
Context Length	262144
Model Max Length	262144
Transformers Version	5.5.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|vision_pad\|>
Vocabulary Size	248320
Errors	replace

Rank the ComputerScience V1 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

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