Text Classification
Transformers
Safetensors
English
qwen3_5_text
feature-extraction
darwin
ztc
zero-token-classifier
decision-engine
typed-decisions
system-one
calibration
probabilistic-classification
Eval Results
Instructions to use FINAL-Bench/Darwin-27B-ZTC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FINAL-Bench/Darwin-27B-ZTC with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="FINAL-Bench/Darwin-27B-ZTC")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("FINAL-Bench/Darwin-27B-ZTC") model = AutoModel.from_pretrained("FINAL-Bench/Darwin-27B-ZTC", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Clean up: public base model id in decision_config, remove internal notes and pycache
Browse files
autojev/__pycache__/__init__.cpython-312.pyc
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autojev/__pycache__/model.cpython-312.pyc
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autojev/__pycache__/types.cpython-312.pyc
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autojev/model.py
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"""A fully trainable Qwen backbone with a 255-option decision readout.
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VIDRAFT
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text-only Qwen3_5ForCausalLM checkpoint (e.g. Darwin-27B-RSI
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In that mode the prompt is built with the tokenizer only (no images), the
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readout is initialised from the base lm_head rows of the answer-code tokens,
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the "revision" is ``local-sha256:<sha256 of config.json + model index>``, and
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"""A fully trainable Qwen backbone with a 255-option decision readout.
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VIDRAFT patch (2026-10-06): the model can also start from a LOCAL,
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text-only Qwen3_5ForCausalLM checkpoint (e.g. FINAL-Bench/Darwin-27B-RSI).
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In that mode the prompt is built with the tokenizer only (no images), the
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readout is initialised from the base lm_head rows of the answer-code tokens,
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the "revision" is ``local-sha256:<sha256 of config.json + model index>``, and
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decision_config.json
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"uv.lock": "a2f8f7f7b5c683112c85c94b3376b35d323e90b50b2c7f15102ad2a6b17e2621"
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},
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"format_version": 1,
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"base_model": "/
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"revision": "local-sha256:e07f3091ed9a143103f6c0f65ace5d9f1effd4b4c6d3183e6a4de1c820a734f4",
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"codes": [
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"A",
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"uv.lock": "a2f8f7f7b5c683112c85c94b3376b35d323e90b50b2c7f15102ad2a6b17e2621"
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},
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"format_version": 1,
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"base_model": "FINAL-Bench/Darwin-27B-RSI",
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"revision": "local-sha256:e07f3091ed9a143103f6c0f65ace5d9f1effd4b4c6d3183e6a4de1c820a734f4",
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"codes": [
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"A",
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