eole-nlp · vince62s · Apr 3, 2025 · Apr 3, 2025
diff --git a/CHANGELOG.md b/CHANGELOG.md
@@ -1,6 +1,16 @@
 # Changelog
 
 This is just a centralised version of the Github automatically generated Release changelogs.
+## 0.2.0
+
+* Fix docs build/deploy by @francoishernandez in https://github.com/eole-nlp/eole/pull/216
+* Enable HF nllb conversion by @francoishernandez in https://github.com/eole-nlp/eole/pull/204
+* Introduce pure BF16 training with Kaha summation - (torch-optimi package) by @vince62s in https://github.com/eole-nlp/eole/pull/213
+* Ensure unicode support, strip carriage returns from vocab by @ArtanisTheOne in https://github.com/eole-nlp/eole/pull/215
+* Recipe to train estimator for Eurollm by @vince62s in https://github.com/eole-nlp/eole/pull/219
+* Support Mistral-3.1-24B by @vince62s in https://github.com/eole-nlp/eole/pull/220
+* Fix typo in wmt17 readme configuration names by @francoishernandez in https://github.com/eole-nlp/eole/pull/224
+* better lora merging + fixes by @vince62s in https://github.com/eole-nlp/eole/pull/226
 
 ## 0.1.2
 

diff --git a/README.md b/README.md
@@ -9,6 +9,7 @@ Our goal is to provide a comprehensive yet compact and modular codebase for expe
 
 ## Latest developments
 
+- **Mistral-3.1-24B-instruct** support (text and image input)
 - **Pure-BF16 Training** thanks to [Kahan Summation](https://arxiv.org/pdf/2010.06192) implemented [here](https://optimi.benjaminwarner.dev/kahan_summation/)
 - **Web-based (Google translator-like) interface** featuring the latest EuroLLM-8B-Instruct LLM: read more [here](https://github.com/eole-nlp/eole/tree/main/recipes/eurollm)
 - **Estimator layer** which enables to rescore multiple beams in the same model. Read article [here](https://medium.com/p/05b00b271a47) and [here](https://medium.com/p/7dccfe167814)
@@ -62,12 +63,12 @@ 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:0.1.2-torch2.5.1-ubuntu22.04-cuda12.4
+docker pull ghcr.io/eole-nlp/eole:0.2.0-torch2.6.0-ubuntu22.04-cuda12.6
 ```
 
 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:0.1.2-torch2.5.1-ubuntu22.04-cuda12.4
+docker run --rm -it --runtime=nvidia ghcr.io/eole-nlp/eole:0.2.0-torch2.6.0-ubuntu22.04-cuda12.6
 ```
 
 > **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.
@@ -82,7 +83,7 @@ Depending on your needs, you can add various flags:
 #### Requirements
 
 - Python >= 3.10
-- PyTorch >= 2.5 < 2.6
+- PyTorch >= 2.5 < 2.8
 
 #### Installation from Source
 

diff --git a/setup.py b/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="0.1.2",
+    version="0.2.0",
     packages=find_packages(),
     project_urls={
         "Source": "https://github.com/eole-nlp/eole/",
@@ -39,7 +39,7 @@
         "spacy",
         "subword-nmt>=0.3.7",
         "tensorboard>=2.3",
-        "torch>=2.5,<2.7",
+        "torch>=2.5,<2.8",
         "torch-optimi",
         "uvicorn",
         "waitress",