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We don't have the concept of embedding triggers - only model keys and names. We need to be able to represent and embedding using a stable "trigger" word (maybe the mutable "name" of the model), and load the embedding in the backend based on this.
Currently on next, embeddings look nice in the prompt, but don't work. This change was in #580163f7c61.
Prior to that change, on next embeddings showed up as the long model key in the prompt, but did work.
What you expected to happen
Embeddings are represented as a human-readable string in the prompt and are loaded correctly.
How to reproduce the problem
No response
Additional context
No response
Discord username
No response
The text was updated successfully, but these errors were encountered:
Is there an existing issue for this problem?
Operating system
Linux
GPU vendor
Nvidia (CUDA)
GPU model
No response
GPU VRAM
No response
Version number
next
Browser
FF
Python dependencies
No response
What happened
We don't have the concept of embedding triggers - only model keys and names. We need to be able to represent and embedding using a stable "trigger" word (maybe the mutable "name" of the model), and load the embedding in the backend based on this.
Currently on
next
, embeddings look nice in the prompt, but don't work. This change was in #5801 63f7c61.Prior to that change, on
next
embeddings showed up as the long model key in the prompt, but did work.What you expected to happen
Embeddings are represented as a human-readable string in the prompt and are loaded correctly.
How to reproduce the problem
No response
Additional context
No response
Discord username
No response
The text was updated successfully, but these errors were encountered: