8000 Bump 0.1.0 by francoishernandez · Pull Request #198 · eole-nlp/eole · GitHub
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Jan 24, 2025
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20 changes: 20 additions & 0 deletions CHANGELOG.md
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Expand Up @@ -2,6 +2,26 @@

This is just a centralised version of the Github automatically generated Release changelogs.

## 0.1.0

* reinstate cuda rmsnorm (much faster in fp16/awq) + ct2 enc/dec config by @vince62s in https://github.com/eole-nlp/eole/pull/167
* [patch] remove dummy_load, move gpu_ranks warning out of TrainingConfig by @francoishernandez in https://github.com/eole-nlp/eole/pull/168
* fix batch inference by @vince62s in https://github.com/eole-nlp/eole/pull/169
* Code clean-ups by @vince62s in https://github.com/eole-nlp/eole/pull/171
* 120 columns makes more sense on modern screens by @vince62s in https://github.com/eole-nlp/eole/pull/176
* refactor transformer decoder and revamp the left padding attention mask by @vince62s in https://github.com/eole-nlp/eole/pull/178
* Major refactoring of convert HF by @francoishernandez in https://github.com/eole-nlp/eole/pull/156
* [patch] handle self_attn_backend edge case by @francoishernandez in https://github.com/eole-nlp/eole/pull/180
* hotfix post #178 by @vince62s in https://github.com/eole-nlp/eole/pull/181
* fix update vocab param loading by @vince62s in https://github.com/eole-nlp/eole/pull/184
* remove verbosity at validation/scoring by @vince62s in https://github.com/eole-nlp/eole/pull/185
* [patch] Add missing `is_train` kwarg in `tokenize_id` by @francoishernandez in https://github.com/eole-nlp/eole/pull/187
* Hugging face dataset streaming support by @vince62s in https://github.com/eole-nlp/eole/pull/177
* misc fixes by @vince62s in https://github.com/eole-nlp/eole/pull/192
* Gemma2 support by @francoishernandez in https://github.com/eole-nlp/eole/pull/160
* [convert_HF] handle special tokens defined in tokenizer_config.json by @francoishernandez in https://github.com/eole-nlp/eole/pull/196
* patch max_length handling in tokenize_id by @francoishernandez in https://github.com/eole-nlp/eole/pull/197

## 0.0.3

* [patch] minor fixes for 0.0.2 by @francoishernan 8000 dez in https://github.com/eole-nlp/eole/pull/109
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4 changes: 2 additions & 2 deletions README.md
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Expand Up @@ -61,12 +61,12 @@ You can customize the workflow and build your own images based on specific needs

To pull the Docker image:
```bash
docker pull ghcr.io/eole-nlp/eole:0.0.3-torch2.5.1-ubuntu22.04-cuda12.4
docker pull ghcr.io/eole-nlp/eole:0.1.0-torch2.5.1-ubuntu22.04-cuda12.4
```

Example one-liner to run a container and open a bash shell within it:
```bash
docker run --rm -it --runtime=nvidia ghcr.io/eole-nlp/eole:0.0.3-torch2.5.1-ubuntu22.04-cuda12.4
docker run --rm -it --runtime=nvidia ghcr.io/eole-nlp/eole:0.1.0-torch2.5.1-ubuntu22.04-cuda12.4
```

> **Note**: Ensure you have the [Nvidia Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html) (formerly nvidia-docker) installed to take advantage of CUDA/GPU features.
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2 changes: 1 addition & 1 deletion setup.py
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Expand Up @@ -11,7 +11,7 @@
description="Open language modeling toolkit based on PyTorch",
long_description=long_description,
long_description_content_type="text/markdown",
version="0.0.3",
version="0.1.0",
packages=find_packages(),
project_urls={
"Source": "https://github.com/eole-nlp/eole/",
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