paaya/Payo-0.8B-Core-Preview
text-generation model by paaya
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Model card & documentation
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A small specialized model for keeping structured state up to date. Given a schema, the current structured state, and a natural-language observation, Payo emits only the smallest state change justified by that observation. Instead of regenerating the full state, it produces a compact, executable patch — or [] when no change to the current state is justified. This release is the frozen RR08 LoRA adapter for Qwen/Qwen3.5-0.8B-Base. Current state: Schema: For the observation: Payo emits: For the observation: the correct output is: The second observation describes a future event, not a change that has already happened to the current state. The reference example was smoke-tested with: In an activated virtual environment: Run the baseline example: By default, the example loads the adapter from: To use a local adapter directory instead: The example loads the Qwen base model at the exact frozen revision, applies this LoRA adapter, and decodes greedily. It…
Read the full model card ↗ · Preview checked 2026-10-01T08:44:23.832Z
Inside the original model card — Document outline
- Payo-0.8B-Core-Preview
- Example
- Quickstart
- Model Details
- Inputs and outputs
- set
- delete
- append
- No-op
- null, delete, and no-op are different
- Open-world state updates
- Intended Use
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Model overview
paaya/Payo-0.8B-Core-Preview is a text-generation model repository published by paaya on Hugging Face. The source reports the peft library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-generation
- Library
- peft
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-10-01T06:26:42.000Z
- Last modified
- 2026-10-01T06:32:46.000Z
Compatibility and lineage
Reported languages: en
Reported base models: Qwen/Qwen3.5-0.8B-Base
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-01T06:38:27.225Z. Daily imports are snapshots, not real-time monitoring.
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