Related Issues (20)
- Optimization Plans for Conv2D CPU Execution HOT 3
- [BUG] mlx gets stuck with high-dimensional array on Linux HOT 1
- Implement trace analogical to numpy.trace HOT 1
- [BUG] Wrong slice of a 4D array assigned to with GPU HOT 1
- problem of using mlx package HOT 2
- Question about supporting slices of the type a[:, [0]] HOT 2
- Difference in training convergence between PyTorch & MLX HOT 2
- [BUG] mlx.core.topk throws segmentation fault for large dimension HOT 1
- [BUG] JIT compile mode does not work with LoRA
- [Feature] dlpack device HOT 5
- [BUG] Compiled mx.eval(model.state) raises “Attempting to eval an array without a primitive” with mlx.optimizers.Adam HOT 4
- [BUG] compile + checkpoint segfaults HOT 1
- [BUG] Wrong result for sliced matmul on GPU HOT 1
- I'm asking for help with the following error: HOT 1
- Potential mx.load() issue with quantized GGUF's HOT 1
- gpt-neox HOT 4
- Implement a `torch.rand_like` equivalent? HOT 5
- [Feature] Export Lora Adapters as GGML
- [Feature] Add nan_to_num Function HOT 2
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