GODEL
transformers
| GODEL | transformers | |
|---|---|---|
| 5 | 176 | |
| 835 | 125,369 | |
| 0.5% | 1.7% | |
| 3.4 | 10.0 | |
| 5 months ago | 4 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
GODEL
- Microsoft: Large-scale pretrained models for goal-directed dialog
-
Fine-tuning on Sales data?
I would use something like GODEL for something like this. https://github.com/microsoft/GODEL
- Godel: Large-Scale Pre-Training for Goal-Directed Dialog
-
Microsoft AI Researchers Open-Source 'GODEL': A Large Scale Pre-Trained Language Model For Dialog
Go to the github page here this is able to run on consumer hardware. The largest model they have need 2.7GB of memory. So running an instance will consume almost all the RAM in your GPU and you won't be able to use it for something else, but it will run on it.
-
"GODEL: Large-Scale Pre-Training for Goal-Directed Dialog", Peng et al 2022 {MS}
Github models to 2.7B: https://github.com/Microsoft/GODEL
transformers
-
AI enthusiasm #9 - A multilingual chatbot📣🈸
transformers is a package by Hugging Face, that helps you interact with models on HF Hub (GitHub)
-
Maxtext: A simple, performant and scalable Jax LLM
Is t5x an encoder/decoder architecture?
Some more general options.
The Flax ecosystem
https://github.com/google/flax?tab=readme-ov-file
or dm-haiku
https://github.com/google-deepmind/dm-haiku
were some of the best developed communities in the Jax AI field
Perhaps the “trax” repo? https://github.com/google/trax
Some HF examples https://github.com/huggingface/transformers/tree/main/exampl...
Sadly it seems much of the work is proprietary these days, but one example could be Grok-1, if you customize the details. https://github.com/xai-org/grok-1/blob/main/run.py
-
Lossless Acceleration of LLM via Adaptive N-Gram Parallel Decoding
The HuggingFace transformers library already has support for a similar method called prompt lookup decoding that uses the existing context to generate an ngram model: https://github.com/huggingface/transformers/issues/27722
I don't think it would be that hard to switch it out for a pretrained ngram model.
-
AI enthusiasm #6 - Finetune any LLM you want💡
Most of this tutorial is based on Hugging Face course about Transformers and on Niels Rogge's Transformers tutorials: make sure to check their work and give them a star on GitHub, if you please ❤️
-
Schedule-Free Learning – A New Way to Train
* Superconvergence + LR range finder + Fast AI's Ranger21 optimizer was the goto optimizer for CNNs, and worked fabulously well, but on transformers, the learning rate range finder sadi 1e-3 was the best, whilst 1e-5 was better. However, the 1 cycle learning rate stuck. https://github.com/huggingface/transformers/issues/16013
-
Gemma doesn't suck anymore – 8 bug fixes
Thanks! :) I'm pushing them into transformers, pytorch-gemma and collabing with the Gemma team to resolve all the issues :)
The RoPE fix should already be in transformers 4.38.2: https://github.com/huggingface/transformers/pull/29285
My main PR for transformers which fixes most of the issues (some still left): https://github.com/huggingface/transformers/pull/29402
- HuggingFace Transformers: Qwen2
- HuggingFace Transformers Release v4.36: Mixtral, Llava/BakLlava, SeamlessM4T v2
- HuggingFace: Support for the Mixtral Moe
-
Paris-Based Startup and OpenAI Competitor Mistral AI Valued at $2B
If you want to tinker with the architecture Hugging Face has a FOSS implementation in transformers: https://github.com/huggingface/transformers/blob/main/src/tr...
If you want to reproduce the training pipeline, you couldn't do that even if you wanted to because you don't have access to thousands of A100s.
What are some alternatives?
DialoGPT - Large-scale pretraining for dialogue
fairseq - Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
rasa - 💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
sentence-transformers - Multilingual Sentence & Image Embeddings with BERT
Convoscope - AI tools to augment conversations on smart glasses, wearables, laptops, and smart meeting rooms.
llama - Inference code for Llama models
DialogRPT - EMNLP 2020: "Dialogue Response Ranking Training with Large-Scale Human Feedback Data"
transformer-pytorch - Transformer: PyTorch Implementation of "Attention Is All You Need"
modular-diffusion - Python library for designing and training your own Diffusion Models with PyTorch.
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
TalkToModel - TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!
huggingface_hub - The official Python client for the Huggingface Hub.