Training in progress, epoch 3

Training in progress, epoch 2

Training in progress, epoch 1

Training in progress, epoch 3

Training in progress, epoch 2

Training in progress, epoch 1

Fix: zxing-cpp instead of pyzbar, robust aesthetic predictor loading

Fix: total_mem -> total_memory (PyTorch attribute)

Add QR art batch generation script for HF Jobs

R6 training script: 16,980 examples knowledge-based

Training in progress, epoch 3

Training in progress, epoch 2

Training in progress, epoch 1

Upload train-qwen25-r5-hf-jobs.py with huggingface_hub

Upload convert-and-quantize-gguf-r4.py with huggingface_hub

Training in progress, epoch 3

Training in progress, epoch 2

Training in progress, epoch 1

Upload train-round4-hf-jobs.py with huggingface_hub

Ollama Modelfile for QR-Verse AI Round 3 (Q4_K_M)

Round 3 GGUF Q4_K_M: qr-verse-ai-r3-Q4_K_M.gguf (4.7 GB) — LoRA r64, 3766 examples, loss 0.6704

Combined GGUF convert + quantize script (Round 3)

Training in progress, epoch 3

Training in progress, epoch 2

Training in progress, epoch 1

Round 3 train script: push_to_hub fallback fix

cleanup test

Test write access

Round 2 training script (lower LR, expanded dataset)

Ollama Modelfile for QR-Verse AI (Q4_K_M)

GGUF Q4_K_M quantized: qr-verse-ai-lora-Q4_K_M.gguf (4.7 GB)

Fix: add cmake dep for llama-quantize build

Add F16→Q4_K_M quantization script

Ollama Modelfile for QR-Verse AI

GGUF merged model: qr-verse-ai-lora-F16.gguf (15629 MB)

v4: FP16 loading + strip quantization_config for clean GGUF conversion

Upload convert-gguf-hf-jobs.py with huggingface_hub

Upload convert-gguf-hf-jobs.py with huggingface_hub

Upload convert-gguf-hf-jobs.py with huggingface_hub

Training in progress, epoch 3

Training in progress, epoch 2

Training in progress, epoch 1

Upload train-hf-jobs.py with huggingface_hub

Upload train-hf-jobs.py with huggingface_hub

initial commit