Base model
Training
- Method: LoRA r64 / α128 on seven projections (
q_proj, k_proj, v_proj, o_proj, gate_proj, up_proj, down_proj), then merged into full-model bf16 safetensors
- Data: NoThink code SFT (paired V4, physical 2-epoch concat)
- Endpoint (score): step 142, 9,455,736 assistant tokens — endpoint-as-score, no checkpoint picking
- Train seed 42; LR
1e-4; context 8192; AdamW; cosine by assistant-token dose
- Host: local GPU 3 (retrain after mathbox3 host loss); eval tokenizer renderer
qwen3-v4-tail151643
Evaluation
- Suite: official LiveCodeBench DEV256
- Mode NoThink,
max_model_len 8192, vLLM 0.28.0; do not prefill <think>
- Metric: sandbox pass@1 = passed / 256
- Seed 12345 used the same merged weights, tokenizer, and vLLM command as seed 3407 except
--seed and the serve port. Results: /workspace/code-sft-runs/rstar-eval/official-dev256-seeds/seed12345/
Table with columns: seed, arm, arm cap, Base, Base cap, McNemar arm_only / base_only, p| seed | arm | arm cap | Base | Base cap | McNemar arm_only / base_only | p |
|---|
| 3407 | 70/256 (27.3%) | 78 | 59/256 (23.0%) | 21 | 25 / 14 | 0.108 |
| 12345 | 84/256 (32.8%) | 75 | 57/256 (22.3%) | 23 | 37 / 10 |
Mean: arm 77.0 (30.1%) vs Base 58.0 (22.7%), Δ ≈ +19.
Arm pass@1 moves a lot across seeds (70 vs 84); Base is stable (57–59). The two-seed pooled paired difference is significant (p = 5.1e-05). Still exploratory (2 seeds, not preregistered).
Provenance note
The same identity (seed 42, 9,455,736 assistant tokens, lr 1e-4, LoRA r64/α128) was previously trained once on another machine and scored 76/256 vs Base 57/256 (McNemar p=0.0019). That host went down and the weights plus eval cache were lost. This repository is the local GPU 3 retrain. The two-run difference (arm −6, Base +2) is single-seed cross-machine noise. This result is a single-seed exploratory outcome, not a confirmatory claim.
Inference notes
- Use this repository's tokenizer and
chat_template.jinja.
- NoThink: do not prefill
<think>; if the template accepts enable_thinking, keep it false.
- Stop token ids: 151643 (
<|endoftext|>) and 151645 (<|im_end|>).
- Eval sampling used temperature 0.7, top_p 0.8, top_k 20.
Weight checksum
model.safetensors (16,381,517,208 bytes): sha256:fdde336f8a504ce0dae4537b0955bbe660e1072ec093e43cce548e5654958a94
OFFICIAL_MERGE_RECEIPT.json is included for merge provenance. LoRA adapter checkpoints are not in this repo.