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punk-records-research-kernel-v0.1
wasnaga/punk-records-research-kernel-v0.1
punk-records-research-kernel-v0.1 is a other model from wasnaga. Use it for the other task on the model card, and read the license before you ship it in a product. It is set up for pytorch. The card lists the license as apache-2.0.
Access
Public
Updated Jun 27, 2026
Repo size
20.9 MB
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0
Public
Repo makeup
Click a slice to open those files.
.pt20 MB · 100%
At a glance
- Task
- other
- Library
- pytorch
- License
- apache-2.0
- Access
- Public
- Created
- Jun 27, 2026
- Updated
- Jun 27, 2026
- SHA
- b1d05239
Datasets
Model card
From the Hugging Face model README
Punk Records Research — Agent Kernel v0.1
Research artifact — not a chat LLM.
Punk Records — lawful agent memory as kernel state transitions (One Piece punk records metaphor: immutable logs that outlive any speaker).
| Layer | Artifact | Role |
|---|---|---|
| Kernel law | policies/*.json + KERNEL.md | 8-opcode invariants, gas, overflow |
| Encoder E6 | encoder_e6_best.pt | Learned opcodes + slot keys + values |
| NL parser E7 | encoder_e7_best.pt | Learned intent/slot + percept value bootstrap |
| Renderer E3 | renderer_e3_best.pt | Untrusted text from storage |
Source code: github.com/umbecanessa/punk-records-research
Results (v0.1)
| Metric | Score |
|---|---|
| Mean reward (A–F) | 0.991 |
| Query accuracy | 1.0 all stages |
| Render fidelity | 1.0 full stack |
| Value exact match | 1.0 |
| E7 NL parse (intent / slot / value) | 1.0 / 1.0 / 1.0 |
Frozen reports in eval/. Reproduce with the GitHub repo + these weights.
Download
pip install -U "huggingface_hub[cli]"
huggingface-cli download wasnaga/punk-records-research-kernel-v0.1 --local-dir ./kernel-v0.1
| File | Description |
|---|---|
encoder_e6_best.pt | Release encoder (~460 KB) |
encoder_e7_best.pt | NL event parser (~510 KB) |
encoder_e10a_best.pt | Open-phrasing NL parser v2, 96-char (~7 MB) |
encoder_e9a_best.pt | Transformer NL front (~3 MB) |
renderer_e9b_best.pt | Transformer renderer (~3 MB) |
renderer_e3_best.pt | Byte renderer (~5 MB) |
stack.json | Bundle manifest |
policies/ | Kernel policy JSON |
eval/ | Training eval reports |
KERNEL.md | Opcode ABI summary |
Architecture
structured event + machine state
↓
encoder E6 (MLP)
↓
opcode trace (OBS → PUT → SEAL → … → GET → RENDER)
↓
deterministic kernel
↓
storage (+ cold overflow)
↓
renderer E3 → answer text
Values at inference come from OBS percept bytes in features, not chat payload strings.
Metrics
- query_accuracy — storage read matches world truth
- revert_rate — invalid ops rejected by kernel
- render_fidelity — template match (renderer untrusted)
- reward —
query_accuracy − 0.5 × revert_rate
Citation
@software{punk_records_research_kernel_v01,
title = {Punk Records Research — Agent Kernel v0.1},
year = {2026},
url = {https://huggingface.co/wasnaga/punk-records-research-kernel-v0.1},
note = {8-opcode session state machine; structured-event training.}
}
License
Apache-2.0
- Task
- other
- Library
- pytorch
- License
- apache-2.0
- Languages
- en
- Created
- Jun 27, 2026
- Updated
- Jun 27, 2026