Comments (1)
Yeah, the intended way to do argmax sampling is to use top-p=0 instead
from mesh-transformer-jax.
Related Issues (20)
- TPU not found on VM (jax version 0.2.16)
- Can we please get a quickstart guide? HOT 2
- Do you have any plans to create the open source version of chatGPT ? HOT 2
- Could not find a version that satisfies the requirement ray[default]==1.4.1 HOT 5
- Resolving dependency issues HOT 6
- Fine-tuning on conversations (format of conversations) HOT 2
- GPT-J used in "Domain-Specific Text Generation for Machine Translation"
- Download Link for Model Weights in howto_finetune.md is broken HOT 2
- tpu_driver0.1 is not initialized on colab (cannot infer with GPT-J on Colab) [Again] HOT 7
- Which version of Python does this work with? HOT 2
- Quantization for training / finetuning
- TPU-V4 HOT 11
- How to infer with GPT-J on TPU_driver0.2 or nightly? HOT 1
- Discrepancy between results reported in this repo and in the NeoX paper HOT 2
- Finetuning Hardware Recomendations
- Framework
- About rope embedding
- Web demo must be fixed.
- What about a Hugging Face Spaces demo so we can test this?
- 6b.eleuther.ai mystic model is down for GPT-J-6B.
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from mesh-transformer-jax.