Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

[1.18.0][docs] Move LoRA adapters to "Supported Features" #371

Merged
merged 2 commits into from
Oct 8, 2024
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion README_GAUDI.md
Original file line number Diff line number Diff line change
Expand Up @@ -82,12 +82,12 @@ Supported Features
Graphs](https://docs.habana.ai/en/latest/PyTorch/Inference_on_PyTorch/Inference_Using_HPU_Graphs.html)
for accelerating low-batch latency and throughput
- Attention with Linear Biases (ALiBi)
- LoRA adapters

Unsupported Features
====================

- Beam search
- LoRA adapters
- Quantization (AWQ, FP8 E5M2, FP8 E4M3)
- Prefill chunking (mixed-batch inferencing)

Expand Down
2 changes: 1 addition & 1 deletion docs/source/getting_started/gaudi-installation.rst
Original file line number Diff line number Diff line change
Expand Up @@ -77,12 +77,12 @@ Supported Features
- Inference with `HPU Graphs <https://docs.habana.ai/en/latest/PyTorch/Inference_on_PyTorch/Inference_Using_HPU_Graphs.html>`__
for accelerating low-batch latency and throughput
- Attention with Linear Biases (ALiBi)
- LoRA adapters

Unsupported Features
====================

- Beam search
- LoRA adapters
- Quantization (AWQ, FP8 E5M2, FP8 E4M3)
- Prefill chunking (mixed-batch inferencing)

Expand Down