-
Design issue for consolidating thoughts on how to map weight handling and fine-tuning for FM on the forecaster interface.
I've summarized the conceptual model involving fitting and fine-tuning, and…
-
To run LLaMA 3.1 (or similar large language models) locally, you need specific hardware requirements, especially for storage and other resources. Here's a breakdown of what you typically need:
### …
-
Hi!
I would like to fine-tune pre-trained model using AVA dataset format. How to achieve this using pytorchvideo?
Current tutorial shows on how to run inference on already fine-tuned models.
T…
-
When I use 8-bit quantization in the pre-training process, the code throws an error.
You cannot perform fine-tuning on purely quantized models. Please attach trainable adapters on top of the qu…
-
Thanks for your excellent work!
At the end of the paper, it says"existing video models such as SVD can generate smoother videos with four times more frame using our video VAE by slightly fine-tuning …
-
-
### Is there an existing integration?
- [x] I have searched the existing integrations.
### Use Case
This feature would allow users to seamlessly integrate Modal's infrastructure for both inference …
mahzy updated
1 month ago
-
Is there a plan to support PEFT methods like LoRA training in maxtext to support larger model fine-tuning / continue pretraining so that bigger models like LLaMA-3-70B can be trainined even with small…
-
https://arxiv.org/pdf/2310.05492
-
Hello,
I've noticed that the ai-training module JSONL format being sent is for legacy fine tuning models such as `babbage-002 `and `davinci-002`. Will there be an OOB support for the [current fine-t…