Initial upload: E1-E 2B verdict-slot adapter (opencodifier-e1e-2b)

README.md

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+---
+base_model: Qwen3.5-2B
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:Qwen3.5-2B
+- lora
+- verdict-slot
+- opencodifier
+- decision-model
+inference: false
+---
+
+# OpenCodifier E1-E 2B Decision Model
+
+A verdict-slot LoRA adapter on Qwen3.5-2B for typed decision-making (choice, boolean, score).
+Part of the OpenCodifier decision runtime: opencodifier.pages.dev.
+
+## Model Details
+
+- **Model type:** Decision classifier — verdict-slot LoRA on Qwen3.5-2B
+- **Base model:** Qwen3.5-2B (Apache-2.0)
+- **Adapter architecture:** LoRA r=16, alpha=32, dropout=0.05
+- **License:** Apache-2.0
+- **Developed by:** TaskWizerAI
+- **Released by:** TaskWizerAI
+
+## Gates Passed
+
+| Benchmark | Result | Gate | Status |
+|---|---|---|---|
+| Suite holdout (231 items) | 0.8083 accuracy | ≥ 0.75 | ✅ PASS |
+| JevBench public 231 | 0.6840 accuracy | ≥ 0.6494 | ✅ PASS |
+
+Full evaluation evidence: `benchmarks/decision-model/results/CALIBRATION.md` and
+`benchmarks/decision-model/results/e1e-slot-231/results.jsonl`.
+
+## Training
+
+- **Corpus:** 187,822 decision items (e1-softlabel-v2), teacher distributions from MiMo
+- **Teacher-gold agreement:** 96.1–97.7% argmax match
+- **Hyperparameters:** lr=1e-4, batch=2, accum=8, max_len=2048, fp16, sdpa, seed=42, 1 epoch
+- **Platform:** T5500 (2× V100, 120W GPU cap)
+
+## Evaluation Results
+
+### JevBench Public 231 (231 items, authors' harness)
+
+| Metric | Value |
+|---|---|
+| Accuracy | 0.6840 |
+| Macro | 0.6840 |
+| ECE | 0.127 (calibrated T=3.362) |
+| Brier | 0.332 |
+| p50 latency | ~1.7 s (CPU, single decision) |
+| Replay determinism | 231/231 |
+
+### Suite Holdout (231 items, internal)
+
+| Metric | Value |
+|---|---|
+| Accuracy | 0.8083 |
+
+## Uses
+
+### Direct Use
+
+Use via the OpenCodifier binary:
+
+```bash
+# Engine-only (no model needed)
+opencodifier decide --input request.json
+
+# With E1-E model (requires llama-server running the decision fork)
+opencodifier decide --input request.json --ladder-url http://127.0.0.1:8080
+```
+
+### Out-of-Scope Use
+
+- Not a general-purpose language model
+- Not trained for prose generation
+- Not calibrated for non-decision classification
+
+## Calibration
+
+Temperature fitted on the suite holdout: T = 3.362.
+Apply the calibration artifact from `results/calibration/qwen3.5-2b-q4_k_m/fit.json`
+before evaluating on any surface other than the holdout.
+
+## How to Cite
+
+OpenCodifier decision runtime: https://github.com/TaskWizerAI/OpenCodifier
+
+## Remarks
+
+- Corpus withheld (per OpenCodifier model release policy)
+- Calibration artifacts published separately
+- Explicit opt-in pull only — never auto-downloaded at build time

adapter_config.json

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+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": null,
+  "base_model_name_or_path": "/home/mkinney/t5500-bundle/models/Qwen3.5-2B",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "kasa_config": null,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "lora_ga_config": null,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "monteclora_config": null,
+  "peft_type": "LORA",
+  "peft_version": "0.21.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v_proj",
+    "o_proj",
+    "k_proj",
+    "q_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_bdlora": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false,
+  "velora_config": null
+}

adapter_model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:532be3bdf2ebc560bbbad95c7927937785dddaf0967a7918a5a4c030689d3a9f
+size 5904616

calibration/fit.json

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+{
+  "format_version": 1,
+  "scheme": "temperature",
+  "model_id": "e1e-qwen3.5-2b-holdout",
+  "calibration_version": 1,
+  "default_temperature": 3.361557,
+  "temperatures": {
+    "choice": 3.361557
+  },
+  "fit": {
+    "items": 120,
+    "ece_before": 0.179237,
+    "ece_after": 0.116711,
+    "source": "e1 slot-readout eval of /home/mkinney/t5500-bundle/eval/suite_holdout.json (sha256 6e9b6e0fe3ded2bb), single-run arm eval-holdout-best, model /home/mkinney/t5500-bundle/runs/e1-e-qwen2b/adapter-best; winner-vs-rest margin fit, in-sample"
+  }
+}