10 actions in 10 pieces of software · ranked by words, meaning and measured trust · 689 ms
modelrecord20 downloads/month
- text-generation
Task: text-generation
- text-generation
modelrecord1,668,903 downloads/month
- text-ranking
Task: text-ranking
- text-ranking
- 3dr-tulu-sftfound in code, not yet checkedno passport yet
MCP servercyberwenyi2357/dr-tulu-sft
- vllm_hosted_reranker
Rerank a list of documents based on their relevance to the query using VLLM hosted reranker.
- vllm_hosted_reranker
modelrecord326 downloads/month
- robotics
Task: robotics
- robotics
modelrecord
- tejasunku/qwen3-reranker-8b
Rerank query search results using qwen3 reranker 8b model, with support for instructions
- tejasunku/qwen3-reranker-8b
- 6own-ai/oasst-falcon-7b-sft-top1-696demo or tutorialno passport yet
modelrecord
- own-ai/oasst-falcon-7b-sft-top1-696
modelrecord
- yxzwayne/bge-reranker-v2-m3
Newest balance-striking reranker model from BAAI. Outputs rank scores for query-doc pairs. FP16 inference enabled.
- yxzwayne/bge-reranker-v2-m3
- 8nan-mcp-serverfound in code, not yet checkedno passport yet
- rerank_documents
Order documents by how well they answer a query, with Qwen3-Reranker-8B (NaN API). This is the second half of a RAG pipeline: embed_text builds the vectors a search runs over, and this one ranks what that search returns. Returns one line per document with its relevance score and its position in the
- rerank_documents
MCP serverrecord
- ettin_reranker_68m_v1_rerank
Rerank candidate passages by relevance to a query. Returns: A ranking table (rank, relevance score, passage) sorted by score descending,, plus a performance summary (inference latency and pairs-per-second throughput).
- ettin_reranker_68m_v1_rerank
- 10rank_llmfound in code, not yet checkedno passport yet
MCP servercastorini/rank_llm
- rerank
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.