Text Classification
MLX
Safetensors
jev-style
qwen3_5
decision-model
decision-making
system-one
calibration
long-context
qwen3.5
apple-silicon
on-device
llm-routing
guardrails
Instructions to use chaoliangUNSW/Jev-Style-2B-Decision-v3-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use chaoliangUNSW/Jev-Style-2B-Decision-v3-MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download chaoliangUNSW/Jev-Style-2B-Decision-v3-MLX --local-dir Jev-Style-2B-Decision-v3-MLX
- jev-style
How to use chaoliangUNSW/Jev-Style-2B-Decision-v3-MLX with jev-style:
# Apple silicon pip install "jev-style[mlx]"
from jev_style import JevStyle, noul, choice js = JevStyle.from_pretrained("chaoliangUNSW/Jev-Style-2B-Decision-v3-MLX") out = js.decide("I was charged twice for one order.", { "billing": noul("This message is about billing."), "team": choice("Which team should handle it?", ["billing", "shipping", "tech"]), }) print(out["answers"]["team"]["choice"]) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
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Download THIRD_PARTY_NOTICES.md from chaoliangUNSW/Jev-Style-2B-Decision-v3-MLX: direct link, hf CLI and curl.
- Browser
- Download file 2.15 kB
-
https://huggingface.co/chaoliangUNSW/Jev-Style-2B-Decision-v3-MLX/resolve/11ce5d718e22412b38624bb863a1eee73c0a5934/THIRD_PARTY_NOTICES.md
- Command line
-
hf download hf://chaoliangUNSW/Jev-Style-2B-Decision-v3-MLX@11ce5d718e22412b38624bb863a1eee73c0a5934/THIRD_PARTY_NOTICES.md
-
curl -L -o THIRD_PARTY_NOTICES.md https://huggingface.co/chaoliangUNSW/Jev-Style-2B-Decision-v3-MLX/resolve/11ce5d718e22412b38624bb863a1eee73c0a5934/THIRD_PARTY_NOTICES.md
2.15 kB
Third-party notices
This file covers third-party code that is contained in this repository. Libraries that are only imported at run time (mlx, mlx-lm, tokenizers, numpy) are not redistributed here and keep their own licences.
mlx-lm 0.31.3 (MIT License)
jev_style_decision_mlx.py contains a modified copy of GatedDeltaNet.__call__ from
mlx_lm/models/qwen3_5.py of mlx-lm 0.31.3 (https://github.com/ml-explore/mlx-lm; that source file carries the
header "Copyright © 2026 Apple Inc."). In the runtime it is the function _gdn_hf_call. Changes made:
- the q/k normalisation epsilon:
mx.fast.rms_norm(x, None, 1e-6)becamemx.fast.rms_norm(x, None, 1e-6 / Dk), so that q/k are l2-normalised with eps 1e-6 as in Hugging Face transformers / llama.cpp; - the tensor-parallel (sharding) branches were removed: a sharded layer is refused with an error;
- rewritten as a module-level function (installed per model instance, never globally) and reformatted.
The mlx-lm licence (the LICENSE file distributed with mlx-lm 0.31.3), reproduced verbatim:
MIT License
Copyright © 2023 Apple Inc.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.