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granite-embedding-311m-multilingual-r2-fp16
chmielvu/granite-embedding-311m-multilingual-r2-fp16
granite-embedding-311m-multilingual-r2-fp16 is a machine learning model from chmielvu. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Throwaway. Answers: which pack policy finishes LightRAG's asyncio.gather before the 60s worker timeout (2675), given a parameterized Run cost.
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At a glance
- Model type
- modernbert
- Access
- Public
- Created
- Aug 29, 2026
- Updated
- Aug 29, 2026
- SHA
- c0c0bdbc
Model card
From the Hugging Face model README
PROTOTYPE — LightRAG embed adapter packer
Throwaway. Answers: which pack policy finishes LightRAG's asyncio.gather before the 60s worker timeout (#2675), given a parameterized Run cost.
Industry defaults in the sim (not invented): Infinity batch_delay=5e-3, mixedbread batched batch_size=32 timeout_ms=5.
python sim.py
python tui.py
- Type
- modernbert
- Created
- Aug 29, 2026
- Updated
- Aug 29, 2026