Comments (1)
Found this https://github.com/NVIDIA/TensorRT-LLM/blob/release/0.5.0/docs/source/2023-05-17-how-to-add-a-new-model.md :))
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Related Issues (20)
- Segmentation fault when reproducing Throughput Benchmark (gptj and llama are both problematic)
- Llama 2 Execution Bug HOT 4
- "High GPU usage leads to NaN values in the encoder output of the T5 model (float16). HOT 1
- failed to convert Qwen1.5-32B-Chat HOT 1
- Llama 3 build error HOT 1
- Assertion failed: Unsupported architecture (/tensorrt_llm/cpp/tensorrt_llm/kernels/contextFusedMultiHeadAttention/fmhaRunner.cpp:89) HOT 2
- Missing kernels for sm_87 (Jetson Orin AGX) HOT 1
- Is there any feature related to GPT-like models that can be applied to BERT-like models? HOT 3
- [feature request] Is it possible to make BERT support variable-seqence length inputs?
- Run MOE 8*7b on 4*A100 gives Cuda OOM HOT 4
- [Quenstion] TensorRT-LLM cannot do inference when sequence length > 200K? HOT 2
- can trtllm-build process on cpu? HOT 2
- TensorRT-LLM Conversion Script Bug: TypeError: Got unsupported ScalarType BFloat16 HOT 1
- when will the high-level-api support qwen model? HOT 1
- Typo of customAllReduce HOT 4
- NotImplementedError: Cannot copy out of meta tensor; no data HOT 1
- KeyError: 'model.layers.0.self_attn.q_proj.qweight' HOT 3
- zephyr-7b-beta fp16 engine outputs "\u68a6\u68a6\u68a6..." for long input ~7000 tokens HOT 7
- Thanks, now it can convert successfully! However, when I running the command: python3 ../run.py --engine_dir llama-2-7b-engine --max_output_len 100 --tokenizer_dir meta-llama/Llama-2-7b-chat-hf --input_text "How do I count to nine in French?" I got the new Error: "root@81b5288ae872:/TensorRT-LLM/examples/llama# python3 ../run.py --engine_dir llama-2-7b-engine --max_output_len 100 --tokenizer_dir meta-llama/Llama-2-7b-chat-hf --input_text "How do I count to nine in French?"
- Mixtral convertation OOM Fix
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