llama.onnx
fastT5
llama.onnx | fastT5 | |
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2 | 5 | |
324 | 540 | |
- | - | |
7.3 | 0.0 | |
10 months ago | about 1 year ago | |
Python | Python | |
GNU General Public License v3.0 only | Apache License 2.0 |
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llama.onnx
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Qnap TS-264
You can find LLM models in the onnx format here: https://github.com/tpoisonooo/llama.onnx
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Langchain question and answer without openai
You also need a LLM to do this. Please check this out to pick one up from the llama family. Other works like llama.onnx, alpaca-native and llama model on hugging face are also worth checking.
fastT5
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Speeding up T5
I've tried https://github.com/Ki6an/fastT5 but it works with CPU only.
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Convert Pegasus model to ONNX
I am working on a project where I fine-tuned a Pegasus model on the Reddit dataset. Now, I need to convert the fine-tuned model to ONNX for the deployment stage. I have followed this guide from Huggingface to convert to the ONNX model for unsupported architects. I got it done but the ONNX model can't generate text. Turned out that Pegasus is an encoder-decoder model and most guides are for either encoder-model (e.g. BERT) or decoder-model (e.g. GPT2). I found the only example of converting an encoder-decoder model to ONNX from here https://github.com/Ki6an/fastT5.
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[P] What we learned by making T5-large 2X faster than Pytorch (and any autoregressive transformer)
Microsoft Onnx Runtime T5 export tool / FastT5: to support caching, it exports 2 times the decoder part, one with cache, and one without (for the first generated token). So the memory footprint is doubled, which makes the solution difficult to use for these large transformer models.
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Conceptually, what are the "Past key values" in the T5 Decoder?
Here is the fastT5 model code for reference code:https://github.com/Ki6an/fastT5/blob/master/fastT5/onnx_models.py
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[P] boost T5 models speed up to 5x & reduce the model size by 3x using fastT5.
for more information on the project refer to the repository here.
What are some alternatives?
llama.cpp - LLM inference in C/C++
Questgen.ai - Question generation using state-of-the-art Natural Language Processing algorithms
Chinese-LLaMA-Alpaca - 中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
mt5-M2M-comparison - Comparing M2M and mT5 on a rare language pairs, blog post: https://medium.com/@abdessalemboukil/comparing-facebooks-m2m-to-mt5-in-low-resources-translation-english-yoruba-ef56624d2b75
motorhead - 🧠 Motorhead is a memory and information retrieval server for LLMs.
json-translate - Translate json files with DeepL or AWS
AST-1 - Join the movement led by IZX.ai to create the world's best open-source LLM.
frame-semantic-transformer - Frame Semantic Parser based on T5 and FrameNet
llama2.openvino - This sample shows how to implement a llama-based model with OpenVINO runtime
OpenSeeFace - Robust realtime face and facial landmark tracking on CPU with Unity integration
openvino - OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
FasterTransformer - Transformer related optimization, including BERT, GPT