Update README.md

Create README.md

Pass dtype through to Gemma init for proper torch_dtype support

Init Gemma in float32, users control dtype via torch_dtype param

Remove Gemma dtype override

Re-save as uniform float32: caption.safetensors

Re-save as uniform float32: tsqa.safetensors

Re-save as uniform float32: ecg.safetensors

Re-save as uniform float32: sleep.safetensors

Re-save as uniform float32: har.safetensors

Re-save as uniform float32: model.safetensors

Uniform float32 weights, clean dtype handling: modeling_slip.py

Uniform float32 weights, clean dtype handling: config.json

Fix mixed-dtype handling in configuration_slip.py

Fix mixed-dtype handling in modeling_slip.py

Use set_default_dtype for uniform dtype init, assert batch size match in CrossAttention

Update configuration_slip.py: use HF torch_dtype instead of hardcoded bfloat16

Update modeling_slip.py: use HF torch_dtype instead of hardcoded bfloat16

Update config.json: use HF torch_dtype instead of hardcoded bfloat16

Fix CrossAttention batch size mismatch: expand context to match query batch

Fix dtype mismatches: cast entire model to bfloat16 in init

Remove old util/ directory

Remove old model_factory/ directory

Upload SLIP model, checkpoints, and source code

Upload SLIP model, checkpoints, and source code

initial commit