What are the hardware requirements for Pulsar AI Final?

Pulsar AI Final requires approximately 1 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 Pulsar AI Final and how large is it?

Pulsar AI Final is developed by Sonorix, a model with 0.5b 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 Pulsar AI Final?

Pulsar AI Final is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Pulsar AI Final by Sonorix — VRAM 1GB, 32K context

Name: Pulsar AI Final
Author: Sonorix

Pulsar AI Final is an open-source language model by Sonorix. Features: 0.5b LLM, VRAM: 1GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.32.

Assistant Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-0.5b-i... Chatbot Conversational Endpoints compatible Instruct Qwen Qwen2 Region:us Ru Russian Safe Safetensors

Model Card on HF 🤗: https://huggingface.co/Sonorix/Pulsar-AI-Final

Pulsar AI Final Parameters and Internals

LLM Name	Pulsar AI Final
Repository 🤗	https://huggingface.co/Sonorix/Pulsar-AI-Final
Base Model(s)	Qwen/Qwen2.5-0.5B-Instruct Qwen/Qwen2.5-0.5B-Instruct
Model Size	0.5b
Required VRAM	1 GB
Updated	2026-08-22
Maintainer	Sonorix
Model Type	qwen2
Instruction-Based	Yes
Model Files	1.0 GB
Supported Languages	ru
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	5.5.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Pulsar AI Final capabilities

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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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