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b2b5df0e94
This PR adds support for AMD Instinct MI210 & MI250 GPUs, with paged attention and FAv2 support. Remaining items to discuss, on top of possible others: * Should we have a `ghcr.io/huggingface/text-generation-inference:1.1.0+rocm` hosted image, or is it too early? * Should we set up a CI on MI210/MI250? I don't have access to the runners of TGI though. * Are we comfortable with those changes being directly in TGI, or do we need a fork? --------- Co-authored-by: Felix Marty <felix@hf.co> Co-authored-by: OlivierDehaene <olivier@huggingface.co> Co-authored-by: Your Name <you@example.com> |
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| .. | ||
| awq/quantize | ||
| gptq | ||
| __init__.py | ||
| convert.py | ||
| dist.py | ||
| flash_attn.py | ||
| hub.py | ||
| import_utils.py | ||
| layers.py | ||
| logits_process.py | ||
| paged_attention.py | ||
| peft.py | ||
| tokens.py | ||
| watermark.py | ||
| weights.py | ||