Bump 0.1.1

CHANGELOG.md

@@ -2,6 +2,14 @@
 
 This is just a centralised version of the Github automatically generated Release changelogs.
 
+## 0.1.1
+
+* fix rope when very long sequence precision is key by @vince62s in https://github.com/eole-nlp/eole/pull/200
+* Better fix for long rope (training was not optimized) by @vince62s in https://github.com/eole-nlp/eole/pull/201
+* add filtertooshort transform by @vince62s in https://github.com/eole-nlp/eole/pull/202
+* Basic pixtral support, paving the way for vision models 🖼️ by @francoishernandez in https://github.com/eole-nlp/eole/pull/153
+* Clean / rename / simplify by @vince62s in https://github.com/eole-nlp/eole/pull/203
+
 ## 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

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:0.1.0-torch2.5.1-ubuntu22.04-cuda12.4
+docker pull ghcr.io/eole-nlp/eole:0.1.1-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:0.1.0-torch2.5.1-ubuntu22.04-cuda12.4
+docker run --rm -it --runtime=nvidia ghcr.io/eole-nlp/eole:0.1.1-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="0.1.0",
+    version="0.1.1",
     packages=find_packages(),
     project_urls={
         "Source": "https://github.com/eole-nlp/eole/",