Instructions to use kernels-community/finegrained-fp8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Kernels
How to use kernels-community/finegrained-fp8 with Kernels:
# !pip install kernels from kernels import get_kernel kernel = get_kernel("kernels-community/finegrained-fp8") - Notebooks
- Google Colab
- Kaggle
File size: 886 Bytes
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library_name: kernels
license: apache-2.0
---
This is the repository card of kernels-community/finegrained-fp8 that has been pushed on the Hub. It was built to be used with the [`kernels` library](https://github.com/huggingface/kernels). This card was automatically generated.
## How to use
```python
# make sure `kernels` is installed: `pip install -U kernels`
from kernels import get_kernel
kernel_module = get_kernel("kernels-community/finegrained-fp8")
fp8_act_quant = kernel_module.fp8_act_quant
fp8_act_quant(...)
```
## Available functions
- `fp8_act_quant`
- `w8a8_fp8_matmul`
- `w8a8_block_fp8_matmul`
- `w8a8_tensor_fp8_matmul`
- `w8a8_fp8_matmul_batched`
- `w8a8_block_fp8_matmul_batched`
- `w8a8_tensor_fp8_matmul_batched`
- `w8a8_fp8_matmul_grouped`
- `w8a8_block_fp8_matmul_grouped`
- `w8a8_tensor_fp8_matmul_grouped`
## Benchmarks
No benchmark available yet.
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