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I find that for some models, like Mistral Nemo, it is very beneficial to restrict the number of considered completions to improve the coherence of the output. However, compared to llama.cpp, MLX does not seem to support top K sampling in LM Studio. It does look like the underlying library supports that, so implementing that would be much appreciated.
llama.cpp models support Top-K
MLX models do not support Top-K
The text was updated successfully, but these errors were encountered:
Hello,
I find that for some models, like Mistral Nemo, it is very beneficial to restrict the number of considered completions to improve the coherence of the output. However, compared to llama.cpp, MLX does not seem to support top K sampling in LM Studio. It does look like the underlying library supports that, so implementing that would be much appreciated.
llama.cpp models support Top-K
MLX models do not support Top-K
The text was updated successfully, but these errors were encountered: