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Merged
akanyaani merged 1 commit into from
Oct 23, 2026
Merged

Release 0.2.0 #7

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16 changes: 7 additions & 9 deletions README.md
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@@ -1,6 +1,6 @@
# DecisionFormer

![DecisionFormer](assets/decisionformer.svg)
![DecisionFormer](https://raw.githubusercontent.com/FrontiersMindAI/decisionformer/main/assets/decisionformer.svg)

The simplest way to fine-tune and serve decision models on any Hugging Face model. Give it a *state* and typed
*questions*; it returns a calibrated probability for every option in a single forward pass, with no text
Expand All @@ -10,23 +10,21 @@ generation. Three lines to decide, one command to train, one command to serve.

Python 3.10 or newer, with PyTorch 2.6+ and transformers 5.20+.

**From GitHub**
```bash
pip install decisionformer # the library and CLI
pip install "decisionformer[serve]" # with the API server
```

The latest code, or a development install:

```bash
pip install "decisionformer[serve] @ git+https://github.com/FrontiersMindAI/decisionformer.git"

# or, to develop
git clone https://github.com/FrontiersMindAI/decisionformer.git
cd decisionformer
pip install -e ".[dev]"
```

**With pip**, once v0.2.0 is published on PyPI (the name currently holds an empty placeholder):

```bash
pip install "decisionformer[serve]"
```

Optional extras, combined as `pip install "decisionformer[serve,qlora]"`:

| extra | adds |
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9 changes: 8 additions & 1 deletion pyproject.toml
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[project]
name = "decisionformer"
version = "0.2.0.dev0"
version = "0.2.0"
description = "Train, load, serve and benchmark one-pass decision models on any Hugging Face backbone."
readme = "README.md"
license = "Apache-2.0"
Expand Down Expand Up @@ -28,6 +28,13 @@ dependencies = [
"protobuf>=4",
]

[project.urls]
Homepage = "https://github.com/FrontiersMindAI/decisionformer"
Repository = "https://github.com/FrontiersMindAI/decisionformer"
Issues = "https://github.com/FrontiersMindAI/decisionformer/issues"
Documentation = "https://github.com/FrontiersMindAI/decisionformer#readme"
Dataset = "https://huggingface.co/datasets/FrontiersMind/deciformer-15k"

[project.optional-dependencies]
qlora = ["bitsandbytes>=0.45"]
serve = ["fastapi>=0.110", "uvicorn>=0.29"]
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2 changes: 1 addition & 1 deletion src/decisionformer/__init__.py
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Expand Up @@ -9,7 +9,7 @@
decisionformer.train("deciformer15k_qwen3") # fine-tune from a bundled recipe, a YAML file or a dict
"""

__version__ = "0.2.0.dev0"
__version__ = "0.2.0"

from decisionformer.api import AutoDecisionModel, Decider, UnsupportedInput # noqa: E402
from decisionformer.config import RunConfig, list_recipes, load_config # noqa: E402
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