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minghuaw
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Mar 2, 2026
mlx-lm/src/utils/rope.rs
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| impl mlx_rs::module::ModuleParameters for Llama3Rope { |
mlx-lm/src/utils/rope.rs
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| let freqs_array = Array::from_slice(&scaled_freqs, &[half_dims]); |
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Instead of converting to mlx array at the end, it might be better to start using mlx ops from the beginning
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| impl mlx_rs::module::ModuleParameters for RopeVariant { |
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todo: support derive ModuleParameters for enum
mlx-lm/src/utils/rope.rs
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| fn get_float_from_config( |
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str variant aren't just float point numbers in string format, there could be values like "default" and "linear" for example.
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This PR attempts to support
meta-llama/Llama-3.2-1B-InstructReference implementation: https://github.com/ml-explore/mlx-examples/blob/main/llms/llama/llama.py
To test, run
hf download meta-llama/Llama-3.2-1B-Instructand the model folder should appear in~/.cache/huggingface/hub/models--meta-llama--Llama-3.2-1B-Instruct/snapshots/<commit_hash>