Status: superseded. Canonical coding model:
scbe-coding-agent-vtc-qwen15-v1-gguf. Kept as research history.
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.
