Pi3X
yyfz233cc-by-nc-4.0vision

Pi3X

Updated Nov 13, 2026
Parameters
1.4B
Context
8,192
License
cc-by-nc-4.0
Updated
Nov 13, 2026

Will it run on your hardware?

Pick your GPU memory - see which quantizations fit, and the cheapest card for the rest

Runs on your 24 GB - best at FP16
4 of 4 quantizations fit Pi3X with real runtime overhead.
Q4_K_M
1 GB
Q5_K_M
1 GB
Q8_0
1 GB
FP16
3 GB
fits tight too big

Need an exact figure for your context length? Use the VRAM calculator.

Run it locally

Copy-paste - running in under a minute

vLLMOpenAI-compatible API
vllm serve yyfz233/Pi3X

New to this? Start with Ollama · serve to many users with vLLM.

Deep dive

Notes, sources, and the full write-up

Pi3X is an open-weight 3D generation model from yyfz233, published on Hugging Face in December 2025. It has 1.4B parameters and is released under the cc-by-nc-4.0 license.

HardwareLink to this section

At full FP16 precision the weights need about 3 GB of memory; 8-bit quantization brings that to roughly 1 GB. That is small enough for most consumer GPUs, Apple Silicon Macs, and many CPUs.

PopularityLink to this section

Pi3X had 113,204 downloads on Hugging Face in the last month and has 20 likes.

Run it locallyLink to this section

The weights are on Hugging Face. Follow the model card for the exact setup and license terms.

Frequently asked

Quick answers to common questions

How much VRAM does Pi3X need?

Pi3X with 1.4B parameters needs approximately 1 GB at Q4_K_M quantization. Use our VRAM calculator for an exact estimate.

Is Pi3X better than other yyfz233 models?

Pi3X has 1.4B parameters with 8,192 context - a strong choice for 3d-generation.

What license is Pi3X under?

Pi3X is released under the cc-by-nc-4.0 license, making it suitable for most commercial and personal projects.

What hardware runs Pi3X well?

With 1.4B parameters, Pi3X requires adequate VRAM. High-end GPUs like the RTX 4090 (24GB), RTX 5090 (32GB), or Mac Studio with unified memory are good options. Check our hardware directory for specific recommendations.

What is the best quantization for Pi3X?

Q4_K_M is the recommended sweet spot - ~98% of FP16 quality at ~27% of the size. Q5_K_M (~1 GB) is an option if you have spare VRAM. Use our VRAM calculator to compare.

What models compete with Pi3X?

Pi3X competes with other models in its class. Browse our model directory for comparisons, benchmarks, and community reviews to find the best fit.

Nearby options

Similar models and compatible hardware by spec