What are the hardware requirements for NOVA 1.5B Instruct 2?

NOVA 1.5B Instruct 2 requires approximately 5.7 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed NOVA 1.5B Instruct 2 and how large is it?

NOVA 1.5B Instruct 2 is developed by VAIBHAV22334455, a model with 1.5b 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 NOVA 1.5B Instruct 2?

NOVA 1.5B Instruct 2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

NOVA 1.5B Instruct 2 by VAIBHAV22334455 — VRAM 5.7GB, 32K context

Name: NOVA 1.5B Instruct 2
Author: VAIBHAV22334455

NOVA 1.5B Instruct 2 is an open-source language model by VAIBHAV22334455. Features: 1.5b LLM, VRAM: 5.7GB, Context: 32K, Instruction-Based, LLM Explorer Score: 0.12.

Arxiv:1910.09700 Conversational Endpoints compatible Instruct Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/VAIBHAV22334455/NOVA-1.5B-Instruct-2

NOVA 1.5B Instruct 2 Parameters and Internals

LLM Name	NOVA 1.5B Instruct 2
Repository 🤗	https://huggingface.co/VAIBHAV22334455/NOVA-1.5B-Instruct-2
Model Size	1.5b
Required VRAM	5.7 GB
Updated	2026-07-23
Maintainer	VAIBHAV22334455
Model Type	qwen2
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 0.7 GB: 2-of-2
Model Architecture	Qwen2ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.42.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|im_end\|>
Vocabulary Size	151646
Torch Data Type	float16
Errors	replace

Rank the NOVA 1.5B Instruct 2 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 NOVA 1.5B Instruct 2

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 1.5B 1.3M Stretched	1280K / 3.1 GB	27	0
Merge Cord V1	128K / 3.1 GB	155	1
Gte Qwen2 1.5B Instruct	128K / 7.1 GB	346204	239
AceInstruct 1.5B	128K / 3.5 GB	139	22
... Abliterated TIES Qwen2.5 1.5B	128K / 3.5 GB	15	0
Saba1 1.8B	128K / 3.6 GB	6	1
Miniclaus Qw1.5B UNAMGS	128K / 3.5 GB	12	8
Bellatrix 1.5B XElite	128K / 3.5 GB	19	3
GCIRS Reasoning 1.5B R1	128K / 3.5 GB	9	1
...illed Scout 1.5B Instruct Gen1	128K / 3.5 GB	10	0

Note: green Score (e.g. "73.2") means that the model is better than VAIBHAV22334455/NOVA-1.5B-Instruct-2.