Haixin Nan

This is a Hugging Face safetensors export of the completed Step 8 full-parameter GRPO checkpoint. The language-model tensors are converted from the Miles/Megatron training checkpoint. The visual and MTP tensors, tokenizer, configuration, and processor assets come from Qwen/Qwen3.8-27B at revision The run trained on 1,586 SWE-rebench v2 Filtered tasks using independent mini-swe-agent rollouts. It used eight NVIDIA B300 GPUs (TP=2, CP=4), 32 prompt groups with eight rollouts each per optimizer step, global batch size 256, and learning rate 2e-6. This is the no-branch GRPO baseline checkpoint, not a branching-policy checkpoint. Source training-checkpoint completion marker SHA-256…

This repository preserves the completed Step 8 checkpoint from a full-parameter GRPO run using a 1,586-task SWE-rebench v2 Filtered corpus. It is a Miles/Megatron distributed checkpoint, including model and optimizer state, metadata, and the dataset cursor. It is intended for research recovery and continued training. The model weights for direct inference are published separately as a Hugging Face safetensors export. The archived run used eight NVIDIA B300 GPUs with tensor parallelism 2 and context parallelism 4. Each step requested 32 prompt groups with eight rollouts per group (global batch size 256); the learning rate was 2e-6. Training used mini-swe-agent, independent sandboxes and…