Instructions to use QuixiAI/samantha-phi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use QuixiAI/samantha-phi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="QuixiAI/samantha-phi", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("QuixiAI/samantha-phi", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use QuixiAI/samantha-phi with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "QuixiAI/samantha-phi" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "QuixiAI/samantha-phi", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/QuixiAI/samantha-phi
- SGLang
How to use QuixiAI/samantha-phi 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 "QuixiAI/samantha-phi" \ --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": "QuixiAI/samantha-phi", "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 "QuixiAI/samantha-phi" \ --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": "QuixiAI/samantha-phi", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use QuixiAI/samantha-phi with Docker Model Runner:
docker model run hf.co/QuixiAI/samantha-phi
Commit ·
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Parent(s): b4421d1
Update README.md Vicuna 1.1 conversation format link
Browse filesOobabooga moved their templates in this commit https://github.com/oobabooga/text-generation-webui/commit/c237ce607e75b536f4807575aff846a6cad0da7b.
README.md
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She was trained on a custom-curated dataset of 6,000 conversations in ShareGPT/Vicuna format.
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Her conversation format is the same as Vicuna 1.1
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https://github.com/oobabooga/text-generation-webui/blob/main/
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Prompt Template:
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```
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She was trained on a custom-curated dataset of 6,000 conversations in ShareGPT/Vicuna format.
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Her conversation format is the same as Vicuna 1.1
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https://github.com/oobabooga/text-generation-webui/blob/main/instruction-templates/Vicuna-v1.1.yaml
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Prompt Template:
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```
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