Post
1347
Dear all,
We are happy to share that we have just open-sourced over 200 low-bit LLMs. For the MLX community, we have prepared 2-4 bit versions of mainstream LLMs. You can visit the following collection to access them: GreenBitAI/greenbitai-mlx-llm-6614eb6ceb8da657c2b4ed58.
These low-bit models can be conveniently used through our open-source tool at https://github.com/GreenBitAI/gbx-lm.
Compared to other open-source quantization algorithms, these models provide better accuracy retention. We have provided some model evaluation results here:
https://github.com/GreenBitAI/green-bit-llm/blob/main/green_bit_llm/evaluation/README.md.
You can also evaluate the models yourself using the evaluation script we provided.
We are happy to share that we have just open-sourced over 200 low-bit LLMs. For the MLX community, we have prepared 2-4 bit versions of mainstream LLMs. You can visit the following collection to access them: GreenBitAI/greenbitai-mlx-llm-6614eb6ceb8da657c2b4ed58.
These low-bit models can be conveniently used through our open-source tool at https://github.com/GreenBitAI/gbx-lm.
Compared to other open-source quantization algorithms, these models provide better accuracy retention. We have provided some model evaluation results here:
https://github.com/GreenBitAI/green-bit-llm/blob/main/green_bit_llm/evaluation/README.md.
You can also evaluate the models yourself using the evaluation script we provided.
