michaelfeil / michaelfeil/infinity
matryoshka_dim=512 is not in a valid range. Select between 1 and 128.
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Description
### System Info
curl -X 'POST' 'https://localhost:8080/embeddings' -H 'accept: application/json' -H 'Content-Type: application/json' -d '{
"model": "mixedbread-ai/mxbai-embed-large-v1",
"encoding_format": "float",
"dimensions": 512,
"input": [
"test 123"
],
"modality": "text"
}'
{
"error": {
"message": " -> matryoshka_dim=512 is not in a valid range. Select between 1 and 128.",
"type": null,
"param": null,
"code": 400
}
}
### Information
- [x] Docker + cli
- [ ] pip + cli
- [ ] pip + usage of Python interface
### Tasks
- [x] An officially supported CLI command
- [ ] My own modifications
### Reproduction
1. Start michaelf34/infinity:latest using: v2 --model-id mixedbread-ai/mxbai-embed-large-v1 --port 8080 --embedding-dtype ubinary
2. Query embeddings API endpoint.
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Reproduce the failure using the documented Docker CLI command and the POST /embeddings request with mixedbread-ai/mxbai-embed-large-v1, dimensions=512, and embedding-dtype ubinary. Trace the MatryoshkaDimError handling to determine the intended valid dimension range, then verify that the API responds correctly for the supported configuration.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- docker, python
- Domain
- api, backend, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100