Releases: GreenBitAI/gbx-lm
Releases · GreenBitAI/gbx-lm
Release v0.3.5
Updated
- improved fastAPI server
- support libra confidence router
Release v0.3.4
Updated
- improved the hidden states generation method
- project structure refactoring
Release v0.3.3
Added
- langchain integration
- local_rag and graph_rag example
Updated
- generate method to support hidden states output
Release v0.3.2
Added
- model management, FastAPI-server
- unit test
Updated
- synchronized with the mlx-lm
- simplified README
Release v0.3.1
Updated
- updated mlx_fastchat_worker for supporting mlx >= 0.14.
- updated conda config.
Release v0.3.0
Added
- Lora support for GBA low-bit models.
Release v0.2.1
Added
- support for Phi-3
Release v0.2.0
Added
- Conversion: Utilize gba2mlx.py to convert models from GBA format to a format compatible with the MLX framework, ensuring smooth integration and optimal performance.
- Generation: Includes scripts for generating content using GBA quantized models within the MLX environment, empowering users to leverage the advanced capabilities of GBA models for natural language content creation.
- Fully support GreenBitAI's MLX Model Collection