Peter Lodri PRO
PeetPedro
AI & ML interests
quantum
Recent Activity
published an article about 6 hours ago
Introducing hf.app: The Native macOS Hugging Face Client for Apple Silicon published an article about 16 hours ago
visual breakdown of the foundational quantum mechanics principles updated a dataset about 19 hours ago
PeetPedro/ultrawhale-dogfoodOrganizations
posted an update 1 day ago
posted an update 24 days ago
Post
102
built a garden today.
it runs on an M1, breathes on its own,
and asks for nothing.
https://garden.vaked.dev/
https://github.com/peterlodri-sec/kompress-ultra
entropy is the source.
no chains needed.
PeetPedro/ultrawhale-dogfood
thanks all, especially Rahul, my friend, who helps with my loops
ą„
https://github.com/peterlodri-sec/kompress-ultra/issues/6
it runs on an M1, breathes on its own,
and asks for nothing.
https://garden.vaked.dev/
https://github.com/peterlodri-sec/kompress-ultra
entropy is the source.
no chains needed.
PeetPedro/ultrawhale-dogfood
thanks all, especially Rahul, my friend, who helps with my loops
ą„
https://github.com/peterlodri-sec/kompress-ultra/issues/6
posted an update about 1 month ago
Post
162
hey, I'm doing some experimenting, looping around :slight_smile:
---
**kompress-v6** *shipped* ā trained on Claude Code agent patterns (bash output, file reads, stack traces, search results, JSON tool responses). 3k synthetic pairs + 2k existing, fine-tuned from v4, $0.20 on vast.ai.
Results:
heretic exact_pct 0.962 (v4: 0.967),
keep_rate 0.854 (v4: 0.823),
override delta 0.
Model got more conservative ā higher keep_rate on structured technical content.
Real proxy:
v4 compressed 9.5%,
v6 compressed 4.2% on the same session.
Less aggressive, fewer must-keep tokens dropped on paths and identifiers.
Interesting failure: self-labeling with v4+override collapsed mk_in_ref to 0.652.
TokenExpiredError splits into
Fix for next run: slide a 2-3 subtoken window instead of checking individual subtokens. Would let self-labeling work on agent content and potentially produce a more compression-aggressive v7.
Models on HF:
- PeetPedro/kompress-v6
- PeetPedro/kompress-v4
- PeetPedro/kompress-v3
Write-up: https://pocoo.vaked.dev/posts/2026-06-25-kompress-v6-agent-distribution
---
**kompress-v6** *shipped* ā trained on Claude Code agent patterns (bash output, file reads, stack traces, search results, JSON tool responses). 3k synthetic pairs + 2k existing, fine-tuned from v4, $0.20 on vast.ai.
Results:
heretic exact_pct 0.962 (v4: 0.967),
keep_rate 0.854 (v4: 0.823),
override delta 0.
Model got more conservative ā higher keep_rate on structured technical content.
Real proxy:
v4 compressed 9.5%,
v6 compressed 4.2% on the same session.
Less aggressive, fewer must-keep tokens dropped on paths and identifiers.
Interesting failure: self-labeling with v4+override collapsed mk_in_ref to 0.652.
TokenExpiredError splits into
Token+Expired+Error ā subtokens that don't individually match the must-keep regex, so the force-keep never fires. Generator references (mk_in_ref=1.0 by construction) ended up being better labels than v4's compressed output for agent data.Fix for next run: slide a 2-3 subtoken window instead of checking individual subtokens. Would let self-labeling work on agent content and potentially produce a more compression-aggressive v7.
Models on HF:
- PeetPedro/kompress-v6
- PeetPedro/kompress-v4
- PeetPedro/kompress-v3
Write-up: https://pocoo.vaked.dev/posts/2026-06-25-kompress-v6-agent-distribution