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tencent/KaLM-Embedding-Gemma3-12B-2511
Sentence Similarity • 12B • Updated • 13.5k • 97 -
KaLM-Embedding/KaLM-embedding-multilingual-mini-instruct-v2.5
Feature Extraction • 0.5B • Updated • 3.61k • • 66 -
HIT-TMG/KaLM-embedding-multilingual-mini-instruct-v2
Feature Extraction • 0.5B • Updated • 686 • 35 -
HIT-TMG/KaLM-embedding-multilingual-mini-instruct-v1.5
Sentence Similarity • 0.5B • Updated • 4.43k • • 66
AI & ML interests
None defined yet.
Recent Activity
Papers
KaLM-Reranker-V1: Fast but Not Late Interaction for Compressed Document Reranking
LMEB: Long-horizon Memory Embedding Benchmark
Organization Card
The Lychee-KaLM Team engages in Embedding, Reranker, and RAG. We aim to empower technologies to benefit people and the planet🌍.
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tencent/KaLM-Embedding-Gemma3-12B-2511
Sentence Similarity • 12B • Updated • 13.5k • 97 -
KaLM-Embedding/KaLM-embedding-multilingual-mini-instruct-v2.5
Feature Extraction • 0.5B • Updated • 3.61k • • 66 -
HIT-TMG/KaLM-embedding-multilingual-mini-instruct-v2
Feature Extraction • 0.5B • Updated • 686 • 35 -
HIT-TMG/KaLM-embedding-multilingual-mini-instruct-v1.5
Sentence Similarity • 0.5B • Updated • 4.43k • • 66
models 4
KaLM-Embedding/KaLM-Reranker-V1-Nano
Text Ranking • 0.8B • Updated • 187 • 6
KaLM-Embedding/KaLM-Reranker-V1-Large
Text Ranking • 8B • Updated • 58 • 2
KaLM-Embedding/KaLM-Reranker-V1-Small
Text Ranking • 2B • Updated • 381 • 2
KaLM-Embedding/KaLM-embedding-multilingual-mini-instruct-v2.5
Feature Extraction • 0.5B • Updated • 3.61k • • 66