From 05e00ac213d91cfa0e31bd8e36299936353a5c30 Mon Sep 17 00:00:00 2001
From: Theia Vogel <theia@vgel.me>
Date: Fri, 13 Dec 2024 22:12:35 -0800
Subject: [PATCH] release 0.4.0 (#58)

---
 CHANGELOG      | 7 ++++++-
 README.md      | 1 +
 pyproject.toml | 2 +-
 3 files changed, 8 insertions(+), 2 deletions(-)

diff --git a/CHANGELOG b/CHANGELOG
index 219b1aa..9712c35 100644
--- a/CHANGELOG
+++ b/CHANGELOG
@@ -1,6 +1,11 @@
 # Changelog
 
-## Unreleased
+## 0.4.0 - 2024-12-13
+
+* SAE support! See `notebooks/sae.ipynb` for an example. (#49)
+* Fixes for models in `bfloat16`. (#49)
+* `accelerate` removed from project dependencies, please install it manually with `pip install accelerate` if you need `device_map="auto"` or other `accelerate` features. (#56)
+* (for devs) Migrate project to `uv` and `ruff` from `poetry` and `black`. (#56)
 
 ## 0.3.1 - 2024-07-01
 
diff --git a/README.md b/README.md
index 6f7cd04..9bc17b2 100644
--- a/README.md
+++ b/README.md
@@ -70,6 +70,7 @@ For a more detailed explanation of how the library works and what it can do, see
 * For a list of changes by version, see the [CHANGELOG](https://github.com/vgel/repeng/blob/main/CHANGELOG).
 * For quantized use, you may be interested in [llama.cpp#5970](https://github.com/ggerganov/llama.cpp/pull/5970)—after training a vector with `repeng`, export it by calling `vector.export_gguf(filename)` and then use it in `llama.cpp` with any quant!
 * Vector training *currently does not work* with MoE models (such as Mixtral). (This is theoretically fixable with some work, let me know if you're interested.)
+* Some example notebooks require `accelerate`, which must be manually installed with `pip install accelerate`. (This can also be done in the notebook with the IPython magic `%pip install accelerate`.)
 
 ## Notice
 
diff --git a/pyproject.toml b/pyproject.toml
index 2b534ea..e0d7e0f 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [project]
 name = "repeng"
-version = "0.3.1"
+version = "0.4.0"
 description = "representation engineering / control vectors"
 authors = [{ name = "Theia Vogel", email = "theia@vgel.me" }]
 readme = "README.md"