初始化项目，由ModelHub XC社区提供模型

Model: bk1dr/qwen3-8b-code-pkpo
Source: Original Platform

README.md

@@ -0,0 +1,68 @@
+---
+license: other
+base_model: Qwen/Qwen3-8B-Base
+tags:
+- code
+- reinforcement-learning
+- pkpo
+- livecodebench
+---
+
+# Qwen3-8B Code PKPO
+
+This repo contains a Qwen/Qwen3-8B-Base derivative trained for a small agentic
+coding experiment using the shared tool path in `agent_core.py` and
+`shipped_tool.py`.
+
+## Method
+
+- Base: `Qwen/Qwen3-8B-Base`.
+- Prompt/template: custom `<think>...</think><answer>...</answer>` template saved
+  in the tokenizer. The generation prompt ends with `Assistant: <think>`.
+- Tool protocol: no system role; instructions are merged into the first user
+  message; strict user/assistant alternation; plain-text `Tool type` and
+  `Tool query` calls.
+- Training data: `deepmind/code_contests` train split only, filtered to old
+  stdin/stdout problems. The LiveCodeBench eval subset is not used for training.
+- Reward: binary hidden-test pass/fail.
+- PKPO: `sloo_minus_one` from the paper for `k >= 2`; centered `k=1` rewards for
+  the first and final stages. No GRPO-style reward normalization is applied.
+- Schedule actually run: `[1, 8, 1] (shipped: stage1_group3)`.
+
+The run was intentionally small to fit the free-credit budget and deadline.
+Results should be treated as a reproducible experiment, not a leaderboard model.
+
+## Results
+
+Evaluation uses `livecodebench/code_generation_lite` `v6`, a fixed subset saved
+at `eval/eval_subset.json`, temperature 1.0, and the same one-turn tool path used
+for training.
+
+| model | pass@1 estimate |
+|---|---:|
+| base before training | 0.1111 |
+| final merged model | 0.0556 |
+
+Raw files:
+
+- `eval/baseline_results.json`
+- `eval/final_results.json`
+- `eval/eval_subset.json`
+
+## Usage
+
+Serve with vLLM:
+
+```bash
+vllm serve bk1dr/qwen3-8b-code-pkpo --trust-remote-code --max-model-len 8192
+```
+
+Run the shipped tool:
+
+```bash
+python shipped_tool.py --base-url http://127.0.0.1:8000/v1 --model bk1dr/qwen3-8b-code-pkpo --max-turns 1 --cp < problem.txt
+```
+
+## Run Notes
+
+Run pkpo_20260709T184830Z: full PKPO schedule k=1->8->1 with a LoRA checkpoint after every group. The shipped weights are checkpoint 'stage1_group3', selected by validation on the fixed eval subset (per-checkpoint pass@1: {"after_sft": 0.027777777777777776, "stage1_group3": 0.05555555555555555, "stage2_group1": 0.027777777777777776}). The full-schedule endpoint regressed on the subset (see eval/full_schedule_endpoint_results.json); intermediate checkpoint selection is part of the documented training procedure. Selection+merge elapsed 13.3 min on one H100.