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cogarobotics/finegrained-grpo-groundplus-0825
finegrained-grpo-groundplus-0825 is a machine learning model from cogarobotics. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
This repository contains the stronger-grounding model used to generate testdataGROUNDPLUSVLLM0825answersevaluatedopenaigpt54.
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Updated Aug 26, 2026
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From the Hugging Face model README
This repository contains the stronger-grounding model used to generate test_data_GROUNDPLUS_VLLM_0825_answers_evaluated_openai_gpt_5_4.
merged/: merged full model. Use this for direct vLLM serving.adapter/: LoRA adapter checkpoint.pip install "vllm==0.8.1" "transformers==4.50.0"
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.