[Version] Bump version to 0.2.58, support embedding

[CharlieFRuan]

Change

• Supports embedding via OpenAI API engine.embeddings.create():
  • [Embeddings][OpenAI] Support embeddings via engine.embeddings.create() #538
• Currently, only snowflake-arctic-embed-s and snowflake-arctic-embed-m are supported. We add the following models to the prebuilt model list:
  • snowflake-arctic-embed-m-q0f32-MLC-b32
  • snowflake-arctic-embed-m-q0f32-MLC-b4
  • snowflake-arctic-embed-s-q0f32-MLC-b32
  • snowflake-arctic-embed-s-q0f32-MLC-b4
  • b32 means the model is compiled to support a maximum batch size of 32. If an input with more than 32 entries are provided, we will call multiple forward() (e.g. if input has 67 entries, we forward 3 times). The larger the maximum batch size, the more memory it takes to load the model. See ModelRecord.vram_required_MB in config.ts for specifics.

TVMjs

Still compiled at apache/tvm@1fcb620, no change