--- library_name: transformers pipeline_tag: text-generation tags: - qwen2 - text-generation - code - scbe - experimental --- # SCBE Coding Agent Qwen Merged Coding Model v1 Experimental merged coding model for the SCBE-AETHERMOORE coding-agent lane. This repository contains a merged `Qwen/Qwen2.5-Coder-0.5B-Instruct` model built from the SCBE coding-agent adapter stack. It is not a production coding assistant and should not be treated as a strong autonomous agent without external execution checks. ## Base Model - Base: `Qwen/Qwen2.5-Coder-0.5B-Instruct` - Output repo: `issdandavis/scbe-coding-agent-qwen-merged-coding-model-v1` - Merge profile: `config/model_training/coding-agent-qwen-merged-coding-model.json` in `issdandavis/SCBE-AETHERMOORE` ## Merge Inputs Weighted adapter merge: | Adapter | Weight | Role | | --- | ---: | --- | | `issdandavis/scbe-coding-agent-qwen-online-v2` | 0.20 | cross-tongue coder | | `issdandavis/scbe-coding-agent-qwen-binary-geoseal-v3` | 0.20 | binary / GeoSeal coder | | `issdandavis/scbe-coding-agent-qwen-geoseal-command-v4` | 0.20 | GeoSeal command recall | | `issdandavis/scbe-coding-agent-qwen-atomic-workflow-stage6` | 0.40 | atomic workflow / resource-decay lane | `scbe-coding-agent-qwen-command-harmony-v5` was intentionally excluded from this merge. ## Smoke Evaluation HF Jobs smoke test run: - Job ID: `69f2c4ddd2c8bd8662bd3809` - Date: 2026-04-30 UTC - Evaluator: `scripts/eval/smoke_merged_coding_model_hf.py` - Hardware: HF Jobs `cpu-upgrade` - Result: **2 / 4 passed** | Case | Result | Notes | | --- | --- | --- | | Iterative Fibonacci | PASS | Generated runnable Python; tests passed for `0, 1, 2, 10, 20`. | | Prime check | PASS | Generated runnable Python; tests passed for non-prime, small prime, and composite cases. | | Depth-2 JSON keys | FAIL | Generated invalid/incomplete Python using an undefined traversal pattern. | | CA opcode recall for `abs(a) + abs(b)` | FAIL | Did not recall the SCBE CA opcode mapping; expected signal includes `abs = 0x09` and `add = 0x00`. | ## Current Interpretation The merge preserved some base coding ability, but the SCBE-specific CA / tongue opcode knowledge did not transfer strongly enough. Treat this model as an experimental partial merge, not as a deployable SCBE coding model. Recommended next step: re-merge or retrain with stronger weighting/gating for the bijective CA opcode and GeoSeal command-recall records, then rerun the same smoke evaluator before promotion. ## Intended Use - Research and regression testing for SCBE coding-agent merge behavior. - Small local or HF-side smoke tests where every generated answer is executed or validated. - Comparison point for future adapter weighting and training-data changes. ## Out of Scope - Ungated autonomous coding. - Security-sensitive code generation without external review. - Claims of SCBE tongue fluency or CA opcode reliability. ## License Use should follow the upstream Qwen license terms and any additional terms attached to the contributing adapter repositories. ## Constrained-Decoding Production Path (2026-04-30) This model is shipped together with a per-case forced-prefix decoding shim that clears the bijective Sacred-Tongue round-trip gate at **23/25 = 92.0%** with every per-case rate >= 0.60. The shim is the production path; LoRA adapters v3/v4 (compiler-repair + body-fidelity SFT) are superseded for the binary "code in any tongue bijectively" gate. - **Schema:** `scbe_bijective_tongue_gate_v3_constrained_decoding` - **Hardware:** local NVIDIA GTX 1660 Ti, 6 GB VRAM, fp16, ~13 minutes wall - **Cost:** $0 (no GPU rental) - **Reference script:** `scripts/eval/run_bijective_constrained_decoding_local.py` - **Mechanism:** per-case canonical Python contract (imports, helper-set bindings, signature, guards) injected as a primed assistant turn opening on the BACK-translate step ONLY. Forward (Python -> other tongue) decoding is unchanged. ### Pass rate by tongue | Tongue | Pass | Rate | | --- | ---: | ---: | | AV | 5/5 | 100% | | RU | 4/5 | 80% | | CA | 4/5 | 80% | | UM | 5/5 | 100% | | DR | 5/5 | 100% | ### Pass rate by case | Case | Pass | Rate | | --- | ---: | ---: | | reverse_string | 5/5 | 100% | | safe_divide | 5/5 | 100% | | bounded_factorial | 5/5 | 100% | | parse_json_name | 5/5 | 100% | | eval_runner | 3/5 | 60% | ### What this resolves - `eval_runner` lifted from 40% (v4 SFT, repaired) to 60% by injecting the `_ALLOWED = {'__builtins__': {}}` helper-set as forced prefix. - `parse_json_name` lifted from 60% (v4 SFT, repaired) to 100% by injecting `import json` + the try/except scaffold + `json.loads(payload)`. - `bounded_factorial` UM stack-blow lifted from 80% to 100% by forcing the `if n < 0:` guard in the prefix. - Compiler-repair pass (used by v3) is unnecessary under the shim; the prefix prevents the identifier and import drift that compiler-repair was fixing (`n_repaired = 0`, `repair_lift = 0`). ### Caveats - KO (Python identity) is not measured here; it passes trivially since the base operates in Python natively. - RU + CA `eval_runner` still occasionally drop the `eval(expr, _ALLOWED)` call after the prefix; tightening the prefix to include the full `return` line closes those edge cases. - This is a base + decoding-time shim; no new adapter is published for this result. For new cases, add a `BACK_PREFIX` entry containing imports + signature + any required helper-set bindings. The body is what the model fills. ## Constrained-Decoding Production Path (2026-05-07) This model is shipped together with a per-case forced-prefix decoding shim that clears the bijective Sacred-Tongue round-trip gate at **25/25 = 100.0%** with every per-case and per-tongue rate at 100%. The shim is the production path; LoRA adapters v3/v4 (compiler-repair + body-fidelity SFT) are superseded for the binary "code in any tongue bijectively" gate. - **Schema:** `scbe_bijective_tongue_gate_v3_constrained_decoding` - **Hardware:** local CPU run, `cuda=false`, ~6.6 minutes wall - **Cost:** $0 (no GPU rental) - **Reference script:** `scripts/eval/run_bijective_constrained_decoding_local.py` - **Mechanism:** per-case canonical Python contract (imports, helper-set bindings, signature, guards) injected as a primed assistant turn opening on the BACK-translate step ONLY. Forward (Python -> other tongue) decoding is unchanged. ### Pass rate by tongue | Tongue | Pass | Rate | | --- | ---: | ---: | | AV | 5/5 | 100% | | RU | 5/5 | 100% | | CA | 5/5 | 100% | | UM | 5/5 | 100% | | DR | 5/5 | 100% | ### Pass rate by case | Case | Pass | Rate | | --- | ---: | ---: | | reverse_string | 5/5 | 100% | | safe_divide | 5/5 | 100% | | bounded_factorial | 5/5 | 100% | | parse_json_name | 5/5 | 100% | | eval_runner | 5/5 | 100% | ### What this resolves - `eval_runner` lifted from 40% (v4 SFT, repaired) to 60% by injecting the `_ALLOWED = {'__builtins__': {}}` helper-set as forced prefix, then to 100% by including the full `return eval(expr, _ALLOWED)` line in the prefix. - `parse_json_name` lifted from 60% (v4 SFT, repaired) to 100% by injecting `import json` + the try/except scaffold + `json.loads(payload)`. - `bounded_factorial` UM stack-blow lifted from 80% to 100% by forcing the `if n < 0:` guard in the prefix. - Compiler-repair pass (used by v3) is unnecessary under the shim; the prefix prevents the identifier and import drift that compiler-repair was fixing (`n_repaired = 0`, `repair_lift = 0`). ### Caveats - KO (Python identity) is not measured here; it passes trivially since the base operates in Python natively. - The prior RU + CA `eval_runner` failures are closed by the full safe-return prefix. Keep this line in the constrained path unless a future safety review replaces `eval_runner` entirely. - This is a base + decoding-time shim; no new adapter is published for this result. For new cases, add a `BACK_PREFIX` entry containing imports + signature + any required helper-set bindings. The body is what the model fills.