Comments (1)
Thanks for reporting this @pandada8, looks like this was due to a Triton version change after upgrading PyTorch to 2.1. I just put up PR #140 which should address the issue.
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Related Issues (20)
- Combining multiple LoRA adapters HOT 1
- 10s latency of lora inference caused by None base_model_name_or_path in adapter_config
- [Question] Usage about the `adapter-memory-fraction` HOT 1
- Improve the latency of `load_batched_adapter_weights` HOT 1
- Fix PyTorch CUDA version in Docker
- Idefics2 and LLaVA
- Fallback to Flash Attention v1 for pre-Ampere GPUs HOT 1
- Private LORA Adapter Error - Server error: No valid adapter config file found: tried None and None HOT 1
- Llama3-8b-Instruct won't stop generating
- Speculative tokens fails during warmup in some scenarios HOT 1
- Batch inference endpoint (OpenAI compatible)
- Add HF authentication instructions to lorax-launcher docs HOT 6
- Improve async load for adapters to avoid main thread lockups in server
- Retrieve all lora models from Huggingface hub by base model setting.
- Add all launcher args as optional in the Helm charts
- AutoTokenzier.from_pretrains needs setting with `trust_remote_code` inside `load_module_map` HOT 2
- Ensure api_token is not included in the response on error HOT 3
- [QUESTION] How to change HuggingFace model download Path in Lorax When deployed to Kubernetes through HelmChart HOT 1
- Bug Report: lorax-launcher failed with --source "s3" for model_id "mistralai/Mistral-7B-Instruct-v0.2"
- Improve warmup checking for max new tokens when using speculative decoding
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