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stephanj
parallelConstraintDecoding
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Parallel Constrained Decoding — local port
This project vendors the `python/core/` engine and `presets/` from
https://huggingface.co/harshatheg/Qwen-2.5-1B-RLCD (Apache License 2.0),
which is a source-code repository (no model weights) implementing
"Parallel Constrained Decoding" on top of mlx-community/Qwen2.5-1.5B-Instruct-4bit.
Local modifications:
- python/core/engine.py: PyTorch/Spaces backend router removed; imports the MLX engine directly.
- python/core/benchmark.py: default preset list includes presets/code_security.json.
- python/core/schema.py: to_parallel_schema_str() now lists each field's allowed choices in the parallel prefill prompt.
- python/example.py, python/pyproject.toml, README.md, NOTICE added.
- java/: new Java implementation of the technique on llama.cpp (FFM); the schema catalog
prompt text in java/src/main/java/pcd/Prompts.java is ported from upstream core/schema.py;
java/src/main/java/llama: bindings generated from llama.cpp headers (MIT).
- java/src/main/resources/web/vendor/chart.umd.min.js: Chart.js 4.4.1 (MIT), vendored so the web app works offline.
- The web app can load GGUF model files from a local Ollama store read-only; it does not include or modify Ollama.
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