CraftJarvis/JarvisVLA-Qwen2-VL-7B

Full fine-tune vs Qwen/Qwen2-VL-7B. Fine-tune: 92% of the weights changed, across 28 of 32 layers.

Tensors changed: Embeddings 1/2, Norms 59/187, MLP 88/216, Attention 196/324, lm_head 1/1

2 derivatives checked

• mradermacher/JarvisVLA-Qwen2-VL-7B-i1-GGUF: Quantization (fewer layers)
• mradermacher/JarvisVLA-Qwen2-VL-7B-GGUF: Same weights, converted (fewer layers)

On the Hub · Downloads on Model Pulse