chamber111/VPPO-32B

Full fine-tune vs Qwen/Qwen2.5-VL-32B-Instruct. Fine-tune: 95% of the weights changed, across 64 of 64 layers.

Tensors changed: Attention 576/576, MLP 361/388, Norms 131/194, Embeddings 1/2, lm_head 0/1

2 derivatives checked

• mradermacher/VPPO-32B-i1-GGUF: Quantization (fewer layers)
• mradermacher/VPPO-32B-GGUF: Quantization (fewer layers)

On the Hub · Downloads on Model Pulse