Comments (1)
It should work if you use the C++ API, but we haven't tried this yet. Let us know if you run into any issues!
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Related Issues (20)
- [Feature] Support Short-Time Fourier Transforms HOT 8
- [BUG] mx.random.uniform throws error HOT 1
- [Feature Request] mlx.core.radians and mlx.core.degrees HOT 9
- [BUG] AttributeError: type object 'QuantizedLinear' has no attribute 'quantize_module' HOT 3
- [BUG] Loading quantized GGUF models fails in 0.11.0 HOT 2
- [BUG] ValueError with mx.array index HOT 8
- [BUG] AttributeError: type object 'QuantizedLinear' has no attribute 'quantize_module' when using whisper with mlx-community/whisper-large-v3-mlx-4bit hf HOT 2
- [BUG] Stubs generation on initial setup HOT 2
- [Feature Request] Support `stop_gradient` globally HOT 1
- [BUG] Cannot delete model from memory after using 'generate' from mlx_lm.utils HOT 4
- [BUG] raise ValueError(f"Received parameters not in model: {extras} HOT 4
- Feature request: Support for dynamic user-defined kernel compilation
- [Feature] Cholesky decomposition
- [BUG] ValueError when loading fused QLoRA model: Parameters not in model HOT 1
- [BUG] Using `make test` (e.g. ctest) causes segfaults
- [BUG] ValueError: [quantize] The last dimension of the matrix needs to be divisible by the quantization group size 64. HOT 7
- [Feature] Add a `clip_grad_norm` to `mlx.optimizers`
- [BUG] Layernorm provide strange results during inference HOT 3
- [Feature Request] Support `numpy.ndarray.view`
- [BUG] Training Step Time Increases after Function Call HOT 2
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