Instructions to use akhadangi/RLDP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use akhadangi/RLDP with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="akhadangi/RLDP")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("akhadangi/RLDP", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use akhadangi/RLDP with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "akhadangi/RLDP" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "akhadangi/RLDP", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/akhadangi/RLDP
- SGLang
How to use akhadangi/RLDP with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "akhadangi/RLDP" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "akhadangi/RLDP", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "akhadangi/RLDP" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "akhadangi/RLDP", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use akhadangi/RLDP with Docker Model Runner:
docker model run hf.co/akhadangi/RLDP
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---
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library_name: transformers
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license: apache-2.0
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language:
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- en
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base_model:
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- mistralai/Mistral-7B-v0.1
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pipeline_tag: text-generation
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---
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## Model Details
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- **Model Type:** Fine tuned of mistralai/Mistral-7B-v0.1 using [RLDP](https://arxiv.org/abs/2507.22565)
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- **Original Model:** mistralai/Mistral-7B-v0.1
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- **Architecture:** Same as original model
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- **Language(s):** Same as original model
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- **License:** Same as original model
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- **Developed by:** [Afshin Khadangi](https://huggingface.co/akhadangi)
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