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wirthra@gmail.com
When running the embedding server:
./llamafiler -m ~/Downloads/all-MiniLM-L6-v2.F32.gguf
And acessing the open ai api endpoint v1/embedding, the model name is not populated
curl -H 'Content-Type: application/json' -d '{ "content":"foo"}' -X POST localhost:8080/v1/embeddings
This results in an empty model string:
{ "object": "list", "model": "", "usage": { "prompt_tokens": 3, "total_tokens": 3 }, "data": [{ "object": "embedding", "index": 0, "embedding": [0.032392547, 0.010513297, -0.011017947, 0.06687813, -0.066597596, -0.010583614, 0.18420886, 0.03049396,...] }]
Can the model name be extracted from the gguf metadata? Or the name provided using the -m option be used?
llamafiler v0.8.13
Linux
./llamafiler -m ~/Downloads/all-MiniLM-L6-v2.F32.gguf 2024-12-14T04:17:08.220113 llamafile/server/listen.cpp:33 server listen http://127.0.0.1:8080
The text was updated successfully, but these errors were encountered:
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Contact Details
wirthra@gmail.com
What happened?
When running the embedding server:
And acessing the open ai api endpoint v1/embedding, the model name is not populated
This results in an empty model string:
Can the model name be extracted from the gguf metadata? Or the name provided using the -m option be used?
Version
llamafiler v0.8.13
What operating system are you seeing the problem on?
Linux
Relevant log output
./llamafiler -m ~/Downloads/all-MiniLM-L6-v2.F32.gguf 2024-12-14T04:17:08.220113 llamafile/server/listen.cpp:33 server listen http://127.0.0.1:8080
The text was updated successfully, but these errors were encountered: