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The one-click build now runs all 5 Pingala-8 models: Qwen3-4B, Llama-3.1-8B, Qwen3.5-4B, Qwen3.5-2B and Qwen3.5-0.8B.
What changed
- New runtime: llama.cpp
7ac59a6+ the released CUDA patch (patches/llama_cuda_vs_7ac59a6.patch) +patches/q35_loader_count_delta.patch. The loader now checks that the number of coded tensors equals the file'svr.n_linearinstead of assuming 7 per layer. The hybrid Qwen3.5-2B and Qwen3.5-0.8B models have 6 in each DeltaNet layer, so earlier one-click builds cannot load them. - New launchers, with the same safe download as v2.4.1 (download to
<name>.part, check bytes and sha256 from Hugging Face, then rename; 3 tries):- Windows:
run_qwen35_4b.bat,run_qwen35_2b.bat,run_qwen35_0_8b.bat - Linux:
./run.sh qwen35-4b,./run.sh qwen35-2b,./run.sh qwen35-0.8b(orrun_qwen35_4b.sh,run_qwen35_2b.sh,run_qwen35_0_8b.sh)
- Windows:
- README.txt lists the 5 models and their download sizes.
What did not change
- Same build settings as v2.4.1: Windows CUDA 12.8 (MSVC, GitHub Actions, architectures 86;89;120); Linux CUDA 13.2 (architectures 75-virtual;80;86;89;120). Same CUDA libraries,
env.batsettings and llama-server command line. - The models are unchanged. Model files already in
modelsare kept. - The loader change keeps the earlier files working: on the rebuilt runtime Qwen3-4B gives the same WikiText-2 perplexity (
[73]16.6413) and token generation at 1.01x of the released build.
Tested (RTX 5070 Ti Laptop GPU): on Linux and on Windows (cmd.exe), each of the 5 models loads in this build and answers a 30-token test prompt. A download cut off mid-file was retried and passed the sha256 check on both systems.
| Model | Download | Windows | Linux |
|---|---|---|---|
| Qwen3-4B | 1.24 GB | run_qwen3_4b.bat |
./run.sh qwen |
| Llama-3.1-8B (base model, Built with Llama) | 2.39 GB | run_llama31_8b.bat |
./run.sh llama |
| Qwen3.5-4B (text only) | 1.51 GB | run_qwen35_4b.bat |
./run.sh qwen35-4b |
| Qwen3.5-2B (text only) | 0.78 GB | run_qwen35_2b.bat |
./run.sh qwen35-2b |
| Qwen3.5-0.8B (text only) | 0.35 GB | run_qwen35_0_8b.bat |
./run.sh qwen35-0.8b |
Windows: download pingala8-windows-cuda12.zip, unzip, double-click a launcher. The first run downloads the model from Hugging Face; then a chat page opens at http://127.0.0.1:8080.
Linux: download pingala8-linux-cuda13.tar.gz, extract, run ./run.sh <model> and open http://127.0.0.1:8080.
Needs an NVIDIA GPU (RTX 30, 40 or 50 series) and a recent driver. Stock llama.cpp, Ollama and LM Studio cannot load these files.
Demo video and poster (from v2.4-oneclick):
- https://github.com/Genrius-AI/pingala8-llm/releases/download/v2.4-oneclick/Pingala8-demo-1080p.mp4
- https://github.com/Genrius-AI/pingala8-llm/releases/download/v2.4-oneclick/Pingala8-demo-poster.jpg
Paper: https://doi.org/10.5281/zenodo.23481757
Models: https://huggingface.co/Genrius-AI/Qwen3-4B-Pingala8-2bit, https://huggingface.co/Genrius-AI/Llama-3.1-8B-Pingala8-2bit (Built with Llama), https://huggingface.co/Genrius-AI/Qwen3.5-4B-Pingala8-2bit, https://huggingface.co/Genrius-AI/Qwen3.5-2B-Pingala8-2bit, https://huggingface.co/Genrius-AI/Qwen3.5-0.8B-Pingala8-2bit