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Adds examples/evolve/ with the SkyRL training integration for the EvolveAgent advisor RL loop (main_evolve.py + train_evolve.sh). Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
…s=10 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
enable_auto_tool_choice + tool_call_parser=qwen3_coder (advisor uses get_call_code tool) language_model_only=true + attention_backend=FLASH_ATTN Intentionally omitting reasoning_parser so thinking tokens stay in content and are captured in the training token sequence.
- CKPTS_DIR, EXPORTS_DIR, LOG_DIR → /data/qmang/outputs/ (avoid ~18GB checkpoints in home) - HF_HOME → /data/qmang/hf_cache - TRITON_CACHE_DIR → /data/qmang/triton_cache - TORCH_HOME → /data/qmang/torch_cache
…pyarrow fixes - Configure all 8 GPUs for advisor vLLM + FSDP training (frozen solver uses GPT-5 via OpenAI API) - Pin pyarrow>=20,<22 to avoid jemalloc background thread segfault in multiprocessing.spawn - Set ARROW_DEFAULT_MEMORY_POOL=system and disable jemalloc background thread in runtime env - Guard eval when eval_dataloader is None in trainer - Add Qwen3.5 accuracy+thinking jinja2 template - Add binary_search full_context example config - Update uv.lock
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