Comments (2)
Please follow the template to share the environment and the reproduced steps.
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It is getting OOM ([TensorRT-LLM][ERROR] 2: [safeDeserialize.cpp::load::269] Error Code 2: OutOfMemory (no further information)), could you please share your system or VM configurations
from tensorrt-llm.
Related Issues (20)
- Can not change max_input_len of Encoder while building engine in Encoder-Decoder model (T5) HOT 10
- Llama-2 13B SmoothQuant W8A8 Per-Tensor TP-4 performance is poor in v0.9.0 release HOT 2
- Prefix Caching Does Not Require Prompt Template and Other Ambiguities
- 100% WER on distil-whisper/distil-large-v2 HOT 7
- Possible version mismatch when building from source code on Linux HOT 1
- Increase chunk size while streaming HOT 1
- Build with huggingface-whisper HOT 3
- Inference Qwen1.5-14B-Chat with 2 RTX4090D failed
- Unsupported auto parallel + int4 quantization on models HOT 1
- How to use TensorRT-LLM with custom model not based on HuggingFace
- Failed to convert checkpoint with int8 weight_only for llama3 Model HOT 3
- Fail to build Mixtral-8x22B-v0.1 with w4a16 HOT 3
- In the process of quantizing fp8, how to switch the form of quantization, E4M3 or E5M2? HOT 2
- [Bug] Zero temperature curl request affects non-zero temperature requests HOT 2
- Does TensorRT-LLM support A10? HOT 2
- Fail to build Llama-3-70B-Instruct with w4a16 HOT 8
- [TensorRT-LLM][ERROR] 3: [executionContext.cpp::setInputShape::2309] Error Code 3: API Usage Error
- INT4 AWQ quantization fails for Llama 2 7B & 13B with higher tensor parallel degrees HOT 1
- 【Bug Report】llama v3 70B int4 reasoning abnormal HOT 2
- failed to use "stop_words_list" for tensorrt-llm==0.9.0 HOT 2
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