TIGER-Lab / FIM-Mid-7B

FIM-Mid-7B

FIM-Mid-7B is the mid-trained checkpoint of the FIM 7B pipeline: Qwen2.5-Coder-7B-Instruct after FIM mid-training, before agent post-training. Post-training this checkpoint on R2E-Gym agent trajectories produces TIGER-Lab/FIM-7B .

Model

Local path: models/FIM-Mid-7B/ (checkpoints are gitignored; do not commit them).

• Base model: Qwen/Qwen2.5-Coder-7B-Instruct
• FIM mid-training: train/FIM_Midtrain_7B.yaml (AdamW, lr 1.0e-5 , cosine schedule, warmup ratio 0.1 , weight decay 0.05 , one epoch, sequence length 32768 , bf16)
• Post-training: none — see TIGER-Lab/FIM-7B for the post-trained agent model

Serve with vLLM

A standard Qwen2.5 checkpoint; no overrides needed at its native 32768 context:

CUDA_VISIBLE_DEVICES=0 \
python -m vllm.entrypoints.openai.api_server \
  --model models/FIM-Mid-7B \
  --served-model-name FIM-Mid-7B \
  --host 127.0.0.1 \
  --port 8400 \
  --tensor-parallel-size 1 \
  --max-model-len 32768 \
  --gpu-memory-utilization 0.9 \
  > vllm_fim_mid7b.log 2>&1 &

Post-training

To reproduce FIM-7B, run R2E-Gym trajectory SFT from this checkpoint (LLaMA-Factory, full fine-tuning, lr 1.0e-5 , 2 epochs, cutoff 32768).