Instructions to use quin210/vitutor-deepseek-r1-8b-sft-full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use quin210/vitutor-deepseek-r1-8b-sft-full with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/DeepSeek-R1-Distill-Llama-8B") model = PeftModel.from_pretrained(base_model, "quin210/vitutor-deepseek-r1-8b-sft-full") - Transformers
How to use quin210/vitutor-deepseek-r1-8b-sft-full with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="quin210/vitutor-deepseek-r1-8b-sft-full") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("quin210/vitutor-deepseek-r1-8b-sft-full", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use quin210/vitutor-deepseek-r1-8b-sft-full with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "quin210/vitutor-deepseek-r1-8b-sft-full" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "quin210/vitutor-deepseek-r1-8b-sft-full", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/quin210/vitutor-deepseek-r1-8b-sft-full
- SGLang
How to use quin210/vitutor-deepseek-r1-8b-sft-full 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 "quin210/vitutor-deepseek-r1-8b-sft-full" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "quin210/vitutor-deepseek-r1-8b-sft-full", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'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 "quin210/vitutor-deepseek-r1-8b-sft-full" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "quin210/vitutor-deepseek-r1-8b-sft-full", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Unsloth Desktop
- Docker Model Runner
How to use quin210/vitutor-deepseek-r1-8b-sft-full with Docker Model Runner:
docker model run hf.co/quin210/vitutor-deepseek-r1-8b-sft-full
Upload best LoRA adapter
Browse files- adapter_model.safetensors +1 -1
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- trainer_state.json +2071 -0
- training_args.bin +3 -0
adapter_model.safetensors
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trainer_state.json
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