GPT-X3-150M ONNX

A 150M hybrid language model, quantized down to 134 MB

Axiomic Labs' GDN2 and gated-GQA base model, exported to ONNX and running on CPU with ONNX Runtime. Pick a precision, write a prompt, and compare how each build streams.

0 / 4000
PrecisionONNX build
Sampling
128
0.70
0.90
1.15

Temperature 0 gives deterministic greedy decoding.

CtrlEnter

Output

Ready

Generated text appears here. The prompt is shown muted and the continuation at full strength.

Speed
--tok/s
First token
--s
Tokens
--
Model size
--MB

Precision trade-offs

Measured against the FP32 export: perplexity on a mixed text set, mean next-token KL divergence, and how often the top prediction matches FP32.

BuildSizePerplexityKL vs FP32Top-1 agreement