Bump 0.1.0 (#198)

CHANGELOG.md

@@ -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 @francoishernandez in https://github.com/eole-nlp/eole/pull/109

README.md

@@ -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.

setup.py

@@ -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/",