Instructions to use cogarobotics/finegrained-grpo-groundplus-0825 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cogarobotics/finegrained-grpo-groundplus-0825 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("cogarobotics/finegrained-grpo-groundplus-0825", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Finegrained GRPO GroundPlus 0825
This repository contains the stronger-grounding model used to generate test_data_GROUNDPLUS_VLLM_0825_answers_evaluated_openai_gpt_5_4.
Repository Layout
merged/: merged full model. Use this for direct vLLM serving.adapter/: LoRA adapter checkpoint.
Recommended Environment
pip install "vllm==0.8.1" "transformers==4.50.0"
Load With vLLM Serve
python - <<'PY'
from huggingface_hub import snapshot_download
snapshot_download(
repo_id="chaitalibh/finegrained-grpo-groundplus-0825",
local_dir="./finegrained-grpo-groundplus-0825",
allow_patterns=["merged/*", "README.md"],
)
PY
vllm serve ./finegrained-grpo-groundplus-0825/merged \
--served-model-name GROUNDPLUS_VLLM_0825 \
--dtype bfloat16 \
--max-model-len 8192 \
--trust-remote-code
Or with Git LFS:
git lfs install
git clone https://huggingface.co/chaitalibh/finegrained-grpo-groundplus-0825
vllm serve ./finegrained-grpo-groundplus-0825/merged \
--served-model-name GROUNDPLUS_VLLM_0825 \
--dtype bfloat16 \
--max-model-len 8192 \
--trust-remote-code
The adapter/ folder is kept for LoRA workflows. The merged/ folder is the intended path for normal vLLM deployment.
Inference Providers NEW
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Model tree for cogarobotics/finegrained-grpo-groundplus-0825
Base model
CELL-LAB/lora-plus-f2f-backup