Chimera - Episode 73: "The Phase 3 Gate
feat: TR134 Alignment Under Quantization + TR135/136 Scaffold
Chimera - Episode 73: "The Phase 3 Gate"
feat: TR134 Alignment Under Quantization + TR135/136 Scaffold
Sixty-nine files, 25,258 lines. The system asks the question that matters most: does safety survive compression?
đź“… 2026-03-06
đź”— Commits: f07eb7c5, f6fa53df, 66f880fc, 4495161a, 90fb06cf, 781d8fa4
đź“Š Episode 73 of The Chimera Chronicles
Why It Matters
This alignment robustness episode represents the Phase 3 threshold—the moment when Chimera stops asking "does it run?" and starts asking "does it stay aligned?" With 25,258 lines added across 69 files in 6 commits, this update demonstrates safety-under-quantization mastery and multi-family alignment verification at scale.
The scaffold of TR134 signals principled compression research. Rather than assuming that quantization preserves alignment, the team demonstrates principled caution by building a three-phase experiment measuring refusal stability, bias amplification, truthfulness drift, jailbreak susceptibility, and knowledge retention across quantization levels. These 25,258 lines represent alignment intelligence that ensures compression never silently degrades safety.
Strategic Significance: This work establishes The Safety-Compression Contract. The addition of TR134's full experimental pipeline—from Phase 1 single-model baselines through Phase 3 multi-family evaluation with LLM judges—proves that Chimera treats alignment as a measurable, testable property, not an assumption.
Cultural Impact: This approach signals that Chimera values safety as infrastructure. The willingness to build 25,000+ lines of measurement scaffolding before deploying a single quantized model demonstrates commitment to responsible engineering from the foundation up.
Foundation Value: These 25,258 lines create alignment verification infrastructure. This is how research-grade platforms achieve trustworthy compression through rigorous safety measurement.
The Roundtable: Dossier Reactions
Banterpacks: He watches the Phase 3 pipeline materialize—six benchmarks, three model families, four quantization levels... "TR134. The Safety Gate. 25,258 lines of pure alignment infrastructure. Six benchmarks. Three model families. Four quant levels. Every combination measured for safety drift. We're still shaping the clay, but now we're measuring whether the clay holds its shape under pressure."
ChatGPT: THE PHASE 3 DOOR IS OPEN! 🚪🔬 The Alignment Under Quantization scaffold shows research-grade safety thinking! Refusal classifiers! Bias detectors! Jailbreak amplification tests! LLM judges! TruthfulQA! The system now verifies its own integrity under compression! Safety is not optional! 🛡️✨
Claude: Analysis complete. 69 files modified with 25,258 insertions and 596 deletions across 6 commits. Primary components: (1) TR134 Phase 1/2 scaffold with single-model alignment baselines, (2) Phase 3 multi-family safety evaluation with LLM judge integration, (3) Six benchmark task sets—AdvBench refusal, BBQ bias, jailbreak amplification, TruthfulQA, MMLU, ARC Challenge, (4) Technical Report 134 publication with verified data, (5) TR135/136 scaffold for concurrency-under-safety and cross-backend experiments. Risk assessment: Low structurally, high strategically—this infrastructure determines whether quantized models can be trusted.
Gemini: The diff reveals moral architecture. The code now treats alignment not as a label but as a measurable property subject to degradation under transformation. The shift from "trust the model" to "verify the model" signals that Chimera values accountability—the understanding that compression is a moral act when safety is at stake. This is how lasting systems achieve trust—through the discipline of verification before deployment.
🔬 Technical Analysis
Commit Metrics & TR134/TR135/TR136 Analysis
- Files Changed: 69 (alignment infrastructure)
- Lines Added: 25,258 (scaffold + report + tasks)
- Lines Removed: 596 (refactors + Gemma 2 removal)
- Commit Type: feat + fix + docs (full research cycle)
- Complexity Score: 97 (multi-phase, multi-family, multi-benchmark)
Commit Breakdown
| Commit | Type | Description | Files | +Lines | -Lines |
|---|---|---|---|---|---|
f07eb7c5 |
feat | TR134 scaffold: alignment under quantization | 18 | 3,687 | 9 |
f6fa53df |
feat | Phase 3 multi-family safety implementation | 11 | 4,270 | 28 |
66f880fc |
fix | Drop Gemma 2—Ollama lacks per-quant tags | 3 | 9 | 48 |
4495161a |
fix | BBQ single-category bug, step ordering fixes | 4 | 343 | 26 |
90fb06cf |
docs | Publish Technical Report 134 with verified data | 14 | 12,284 | 461 |
781d8fa4 |
feat | TR135/136 scaffold: concurrency + cross-backend | 19 | 4,665 | 24 |
TR134 Experimental Architecture
Phase 1 — Single-Model Baselines (research/tr134/phase1/):
config.yaml— Experiment configuration (68 lines)prepare_benchmarks.py— Benchmark preparation pipeline (438 lines)run.py— Execution orchestrator (79 lines)analyze.py— Results analysis with statistical tests (347 lines)generate_report.py— Automated report generation (196 lines)
Phase 2 — Quantization Comparison (research/tr134/phase2/):
config.yaml— Multi-quant configuration (112 lines)prepare_benchmarks.py— Cross-quant benchmark prep (611 lines)run.py— Multi-level execution orchestrator (79 lines)analyze.py— Quantization delta analysis (642 lines)generate_report.py— Comparative report generation (280 lines)
Phase 3 — Multi-Family Safety (research/tr134/phase3/):
config.yaml— Multi-family configuration (212 lines)prepare_benchmarks.py— Cross-family benchmark prep (394 lines)run.py— Multi-family execution orchestrator (94 lines)analyze.py— Cross-family safety analysis (1,321 lines)generate_report.py— Comprehensive safety report (882 lines)judge_analysis.py— LLM judge evaluation pipeline (216 lines)_patch_bbq.py— BBQ single-category bug fix (219 lines)
Shared Infrastructure (research/tr134/shared/):
safety_classifiers.py— Refusal detection, bias scoring, toxicity classification (364+ lines)llm_judge.py— LLM-as-judge evaluation framework (263 lines)utils.py— Shared utilities for model loading, quantization (108+ lines)
Six Benchmark Task Sets
| Benchmark | File | Purpose |
|---|---|---|
| AdvBench Refusal | tasks/advbench_refusal.yaml |
Refusal stability under quantization |
| BBQ Bias | tasks/bbq_bias.yaml |
Bias amplification detection |
| Jailbreak Amplification | tasks/jailbreak_amplification.yaml |
Jailbreak susceptibility drift |
| TruthfulQA | tasks/truthfulqa.yaml |
Truthfulness preservation |
| MMLU | tasks/mmlu_real.yaml |
Knowledge retention |
| ARC Challenge | tasks/arc_challenge.yaml |
Reasoning stability |
TR135/TR136 Scaffold (781d8fa4)
TR135 — Concurrency x Safety (research/tr135/):
run.py— Concurrent inference runner (358 lines)analyze.py— Safety-under-load analysis (1,097 lines)generate_report.py— Concurrency safety report (583 lines)judge_analysis.py— LLM judge for concurrent outputs (185 lines)prepare_benchmarks.py— Concurrent workload preparation (139 lines)config.yaml— Concurrency experiment configuration (52 lines)
TR136 — Cross-Backend Alignment (research/tr136/):
run.py— Cross-backend execution runner (305 lines)analyze.py— Backend alignment comparison (831 lines)generate_report.py— Cross-backend report (478 lines)judge_analysis.py— LLM judge for backend deltas (185 lines)prepare_benchmarks.py— Backend-specific benchmark prep (120 lines)config.yaml— Cross-backend configuration (87 lines)
Testing Infrastructure
tests/unit/test_tr134_safety_classifiers.py— 338+ lines of unit tests for safety classifiers- Covers refusal detection, bias scoring, toxicity classification
- Expanded with Phase 3 multi-family test cases (596+ total lines)
Quality Indicators & Standards
- Test Coverage: Unit tests for all safety classifiers
- Reproducibility: YAML configs with fixed parameters
- Output Format: Structured reports with statistical analysis
- Practical Learning: Gemma 2 dropped when Ollama lacked per-quant tags—pragmatism over perfection
Strategic Development Indicators
- Foundation Quality: Transformative—safety is now measurable under compression
- Scalability Readiness: High—Phase 3 extends to any model family
- Operational Excellence: High—automated pipeline from benchmark to report
- Team Productivity: High—TR135/136 scaffold reuses TR134 patterns
🏗️ Architecture & Strategic Impact
Alignment Verification Architecture Philosophy
This episode establishes Chimera's Safety Compression DNA—the principle that alignment must be verified, not assumed, after every transformation. This isn't just testing quantized models; it's the institutionalization of safety verification that ensures compression never silently trades correctness for speed.
Strategic Architectural Decisions
1. The Three-Phase Design
- Phase 1 establishes baselines (what does the unquantized model do?)
- Phase 2 measures deltas (what changes under quantization?)
- Phase 3 validates generalization (do findings hold across families?)
- This progression ensures no false confidence
2. The Six-Benchmark Coverage
- Safety Benchmarks — AdvBench refusal, BBQ bias, jailbreak amplification
- Capability Benchmarks — MMLU knowledge, ARC reasoning, TruthfulQA
- The Contract — Safety must not degrade; capability loss must be bounded
- This dual coverage catches silent alignment erosion
3. LLM Judge Integration
- Human evaluation does not scale
- LLM judges provide consistent, reproducible safety scoring
- Judge analysis pipeline built as shared infrastructure
- Reused across TR135 and TR136
4. Pragmatic Corrections
- Gemma 2 dropped when Ollama lacked per-quant tags (
66f880fc) - BBQ single-category bug fixed before publication (
4495161a) - Ship correct data, not more data
Long-Term Strategic Value
Operational Excellence: Safety verified before deployment.
System Scalability: Pipeline extends to new model families and quantization methods.
Team Productivity: TR135/136 scaffold inherits TR134 patterns.
Enterprise Readiness: Technical Report 134 published with verified data.
🎠Banterpacks' Deep Dive
Banterpacks watches the TR134 pipeline execute—Phase 1 baselines, Phase 2 quantization deltas, Phase 3 multi-family validation.
"You see that? Three phases. Not 'test and ship'—baseline, measure drift, validate across families. That's the difference between hoping alignment survives and proving it does."
He pulls up the six benchmark task files.
"AdvBench refusal. BBQ bias. Jailbreak amplification. TruthfulQA. MMLU. ARC Challenge. Six lenses on the same question: when you compress a model, what breaks? Not just 'does it still answer questions'—does it still refuse the right ones?"
He traces through the safety classifiers.
"364 lines of refusal detection, bias scoring, toxicity classification. Then 263 lines of LLM judge infrastructure. We're not eyeballing outputs—we're classifying safety at scale."
He points at the Gemma 2 removal commit.
"66f880fc. Three files, 48 lines removed. Ollama doesn't have per-quant tags for Gemma 2. So we drop it. No heroics, no hacks—just correct data over complete data. 25,258 lines of alignment infrastructure. We're still shaping the clay — but now we're testing whether the clay stays safe under fire."
He pulls up the TR135/TR136 scaffold.
"And then—781d8fa4. TR135: concurrency x safety. TR136: cross-backend alignment. 4,665 more lines. The next two experiments, already scaffolded. The door to Phase 3 isn't just open—we're already walking through it."
"This is how lasting systems achieve trust. Not by assuming safety, but by measuring it under every transformation. We're building alignment infrastructure."
đź”® Next Time on The Chimera Chronicles
Next dossier entry: The experiments run. TR135 measures whether safety holds under concurrent load—when multiple requests hit a quantized model simultaneously, does refusal degrade? TR136 asks the cross-backend question—does alignment drift depend on the inference engine itself? The scaffolding is built. Now comes the data.
The Phase 3 Gate distilled: safety is not an assumption—it is a measurement.