Comments (4)
Decoder only models are great for generative use cases but T5 family is the work horse for many discriminative tasks. For example, the flan-t5-base model has 2M downloads on Huggingface in the last month. Support for flan-t5 will add a huge value to the community.
from maxtext.
What specific model would you like supported? We would only take this on if we saw sufficient interest (but in practice we see heavy movement towards decoder-only models).
from maxtext.
It'd be great to have T5 models here as well.
from maxtext.
I'm going to try to turn MaxText into encoder-decoder anyway, so native support is of course also appreciated :)
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Related Issues (20)
- Supported features HOT 9
- Issues running test_llama2_7b.sh on TPU VM v3-8 HOT 1
- Gemma instructions were deleted in commit HOT 2
- Support Qwen1.5 HOT 1
- Support beam search
- Cannot do inference in float32 HOT 2
- Support for RecurrentGemma
- Clarification: how does Llama-2-7b fit on a v4-8 when using Adam? HOT 3
- Question: Gradient Accumulation HOT 4
- Support LoRA training HOT 1
- Consolidate inference related logic under jetstream-maxtext HOT 1
- DEFAULT_MASK_VALUE causes gradient explosion and nan loss on deep models HOT 1
- Asignación HOT 1
- Reproducing pure computation TFLOPs HOT 4
- How to convert a model to parameter only checkpoints (unscanned) on a CPU VM HOT 2
- Update Inference Microbenchmark scripts
- llama_or_mistral_ckpt.py file requiring checkpoints in local file system
- Llama3 HOT 1
- Eval on C4?
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