What are the hardware requirements for Acrux 500M O1 Journey GGUF?

Acrux 500M O1 Journey GGUF requires approximately 0.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Acrux 500M O1 Journey GGUF and how large is it?

Acrux 500M O1 Journey GGUF is developed by prithivMLmods, a model with 500m 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 Acrux 500M O1 Journey GGUF?

Acrux 500M O1 Journey GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Acrux 500M O1 Journey GGUF by prithivMLmods — VRAM 0.3GB

Name: Acrux 500M O1 Journey GGUF
Author: prithivMLmods

Acrux 500M O1 Journey GGUF is an open-source language model by prithivMLmods. Features: 500m LLM, VRAM: 0.3GB, License: creativeml-openrail-m, Quantized, LLM Explorer Score: 0.16.

500m Base model:prithivmlmods/acrux... Base model:quantized:prithivml... Conversational Dataset:gair/o1-journey En Endpoints compatible Gguf Llama-cpp O1-journey Ollama Q2 Quantized Qwen2 Qwen2.5 Region:us

Model Card on HF 🤗: https://huggingface.co/prithivMLmods/Acrux-500M-o1-Journey-GGUF

Acrux 500M O1 Journey GGUF Parameters and Internals

LLM Name	Acrux 500M O1 Journey GGUF
Repository 🤗	https://huggingface.co/prithivMLmods/Acrux-500M-o1-Journey-GGUF
Base Model(s)	Acrux 500M O1 Journey prithivMLmods/Acrux-500M-o1-Journey
Model Size	500m
Required VRAM	0.3 GB
Updated	2026-07-21
Maintainer	prithivMLmods
Model Type	qwen2
Model Files	1.0 GB 0.3 GB 0.4 GB 0.4 GB 0.3 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.5 GB 0.5 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf\|q2\|q4_k\|q5_k
Model Architecture	AutoModel
License	creativeml-openrail-m

Rank the Acrux 500M O1 Journey GGUF 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 Acrux 500M O1 Journey GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Intellite 500M Sft	4K / 1 GB	18	2

Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/Acrux-500M-o1-Journey-GGUF.