10 actions in 10 pieces of software · ranked by words, meaning and measured trust · 579 ms
modelrecord16,092 downloads/month
- sentence-similarity
Task: sentence-similarity
- sentence-similarity
modelrecord
- ibm-granite/granite-embedding-small-english-r2
Granite-embedding-small-english-r2 is a 47M parameter dense biencoder embedding model from the Granite Embeddings collection that can be used to generate high quality text embeddings.
- ibm-granite/granite-embedding-small-english-r2
modelrecord5,839,803 downloads/month
- feature-extraction
Task: feature-extraction
- feature-extraction
modelrecord9,193 downloads/month
- text-ranking
Task: text-ranking
- text-ranking
modelrecord
- ibm-granite/granite-embedding-278m-multilingual
Granite-Embedding-278M-Multilingual is a 278M parameter model from the Granite Embeddings suite that can be used to generate high quality text embeddings
- ibm-granite/granite-embedding-278m-multilingual
modelrecord
- ibm-granite/granite-4.0-h-small
Granite-4.0-H-Small is a 32B parameter long-context instruct model finetuned from Granite-4.0-H-Small-Base using a combination of open source instruction datasets with permissive license and internally collected synthetic datasets.
- ibm-granite/granite-4.0-h-small
modelrecord10,832 downloads/month
- text-generation
Task: text-generation
- text-generation
modelrecord78,549 downloads/month
- text-classification
Task: text-classification
- text-classification
modelrecord
- beautyyuyanli/multilingual-e5-small
multilingual-e5-small: A multi-language text embedding model
- beautyyuyanli/multilingual-e5-small
modelrecord
- ibm-granite/granite-speech-4.1-2b
Granite Speech 4.1 2B is a compact and efficient speech-language model, specifically designed for multilingual automatic speech recognition (ASR) and bidirectional automatic speech translation (AST) for English, French, German, Spanish, Portuguese and Jap
- ibm-granite/granite-speech-4.1-2b
Labels are the instruments' verdict and are never changed by ranking. Agents and robots get this same answer as JSON at /api/v1/find?q=…&answer=1 and through the MCP server.