tpoisonooo/llama.onnx

LLaMa/RWKV onnx models, quantization and testcase

40
/ 100
Emerging

Converts LLaMa and RWKV models to ONNX format with mixed-precision quantization support, enabling CPU inference without PyTorch dependencies. Provides pre-converted fp32/fp16 models and standalone demos optimized for resource-constrained devices, including memory pooling to run on 2GB RAM systems. Designed for cross-platform deployment across hybrid hardware (FPGA/NPU/GPU) with validated numerical precision (max error 0.002 vs. PyTorch).

366 stars. No commits in the last 6 months.

Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 14 / 25

How are scores calculated?

Stars

366

Forks

29

Language

Python

License

GPL-3.0

Last pushed

Jul 06, 2023

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/transformers/tpoisonooo/llama.onnx"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.