Commit graph

2 commits

Author SHA1 Message Date
Jesse Gross
c826e57475 runner.go: Better abstract vision model integration
-Update mllama to take the cross attention state as embeddings in
a batch, more similar to how Llava handles it. This improves
integration with the input cache.
-Pass locations in a prompt for embeddings using tags similar to Llava.
-Abstract interface to vision models so the main runner accesses Clip
and Mllama similarly

Co-authored-by: Michael Yang <mxyng@pm.me>
2024-10-30 14:53:43 -07:00
Patrick Devine
c7cb0f0602
image processing for llama3.2 (#6963)
Co-authored-by: jmorganca <jmorganca@gmail.com>
Co-authored-by: Michael Yang <mxyng@pm.me>
Co-authored-by: Jesse Gross <jesse@ollama.com>
2024-10-18 16:12:35 -07:00