harshatheg/Qwen-2.5-1B-RLCD

text-generation model by harshatheg

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[](https://huggingface.co/spaces/drinkmoonshine/parallel-constrained-decoding) A high-throughput inference engine for structured information extraction, decision routing, and categorical classification on Apple Silicon using MLX. Parallel Constrained Decoding evaluates multi-field JSON schemas simultaneously rather than generating tokens sequentially. On an Apple Silicon M4 Max, it delivers 5.6x to 7.0x latency reductions compared to standard autoregressive decoding with 100% schema validity and calibrated field-level confidence scores. Evaluated with mlx-community/Qwen2.5-1.5B-Instruct-4bit on macOS Sequoia: Standard LLM structured generation (such as JSON mode or grammar-guided sampling) relies on token-by-token autoregressive decoding: Each token requires a distinct GPU/NPU forward pass and sequential memory bandwidth roundtrips. As schema size grows, latency scales linearly with output token length: $T{\text{autoregressive}} = \sum{k=1}^{K} t{\text{step}}(k)$ Additionally, autoregressive decoding is susceptible to syntax degradation, field omission, and hallucinated keys. In structured extraction and classification, field values belong to bounded candidate sets (booleans or categorical enums). Parallel Constrained Decoding exploits this property: $P(ci) = \frac{\exp(zi / T)}{\sum{j=1}^{C} \exp(zj…

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Model overview

harshatheg/Qwen-2.5-1B-RLCD is a text-generation model repository published by harshatheg on Hugging Face. The source reports the mlx library.

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Model facts

Task: text-generation
Library: mlx
Recent downloads (30 days): 0
Cumulative likes: 573
Hugging Face trending score: 84
Reported safetensors parameters: Not reported
Architecture: Not reported
License: apache-2.0
Access: Not gated by Hugging Face
Created: 2026-09-16T01:35:33.000Z
Last modified: 2026-09-16T06:23:02.000Z

Compatibility and lineage

Reported languages: en

Reported base models: Qwen/Qwen2.5-1.5B-Instruct

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Source: Hugging Face Hub. Metadata observed 2026-09-28T06:37:58.127Z. Daily imports are snapshots, not real-time monitoring.

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