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decog-hmms
hk/decog-hmms
decog-hmms is a machine learning model from hk. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This repository hosts the HMM checkpoints used by Deco-G for the public GSM8K and SummEval experiments in Decoupling Task-Solving and Output Formatting in LLM Generation.
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Public
Updated Jul 1, 2026
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7.3 GB
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.safetensors7.3 GB · 100%
At a glance
- Access
- Public
- Created
- Jul 1, 2026
- Updated
- Jul 1, 2026
- SHA
- 551a1b4d
Model card
From the Hugging Face model README
Deco-G HMM Checkpoints
This repository hosts the HMM checkpoints used by Deco-G for the public GSM8K and SummEval experiments in Decoupling Task-Solving and Output Formatting in LLM Generation.
The code release at https://github.com/haikangdeng/deco-g downloads these checkpoints automatically for Deco-G decoding. The checkpoints are organized by model-specific subfolder:
| Deco-G alias | Base model | Subfolder |
|---|---|---|
llama8b | meta-llama/Llama-3.1-8B-Instruct | llama3.1-8b-instruct |
qwen7b | Qwen/Qwen2.5-7B-Instruct | qwen2.5-7b-instruct |
qwen3-8b | Qwen/Qwen3-8B | qwen3-8b |
Each subfolder contains a config.json and model.safetensors compatible with Deco-G's HMM class.
- Created
- Jul 1, 2026
- Updated
- Jul 1, 2026