What are the hardware requirements for Acx03 Qwen3 1.5B Ternary Giro?

Acx03 Qwen3 1.5B Ternary Giro requires approximately 0.9 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 Acx03 Qwen3 1.5B Ternary Giro and how large is it?

Acx03 Qwen3 1.5B Ternary Giro is developed by Ooriginador, 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 Acx03 Qwen3 1.5B Ternary Giro?

Acx03 Qwen3 1.5B Ternary Giro is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Acx03 Qwen3 1.5B Ternary Giro by Ooriginador — VRAM 0.9GB, 32K context

Name: Acx03 Qwen3 1.5B Ternary Giro
Author: Ooriginador

Acx03 Qwen3 1.5B Ternary Giro is an open-source language model by Ooriginador. Features: 1.5b LLM, VRAM: 0.9GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.31.

1.58bit Arkheionnet Base-3 Conversational Edge-ai En Endpoints compatible Gguf Giro-copilot Pt Q2 Quantized Qwen Qwen2 Region:us Ternary

Model Card on HF 🤗: https://huggingface.co/Ooriginador/acx03-qwen3-1.5b-ternary-giro

Acx03 Qwen3 1.5B Ternary Giro Parameters and Internals

LLM Name	Acx03 Qwen3 1.5B Ternary Giro
Repository 🤗	https://huggingface.co/Ooriginador/acx03-qwen3-1.5b-ternary-giro
Model Size	1.5b
Required VRAM	0.9 GB
Updated	2026-11-10
Maintainer	Ooriginador
Model Type	qwen2
Model Files	0.9 GB
Supported Languages	pt en
GGUF Quantization	Yes
Quantization Type	gguf\|q2
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.43.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

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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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