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: mathbox; eval tokenizer renderer
qwen3-v4-tail151643
Evaluation
- Suite: official LiveCodeBench DEV256
- Seed 3407, mode NoThink,
max_model_len 8192, vLLM 0.28.0
- Metric: sandbox pass@1 = passed / 256
- This arm: 67/256 (26.2%), caps 99
- Base (
Qwen/Qwen3-4B-Base, same NoThink protocol): 36/256 (14.1%), caps 48
- McNemar exact p = 7.8e-07
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 (8,822,894,520 bytes): sha256:4309b112b8635695282a1c18f7d9e301862ef028c83e2b000a34caa08b47ef1f
OFFICIAL_MERGE_RECEIPT.json is included for merge provenance. LoRA adapter checkpoints are not in this repo.