Text Generation
Transformers
Safetensors
English
mistral
instruct
finetune
chatml
gpt4
conversational
text-generation-inference
Instructions to use FPHam/Autolycus-Mistral_7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FPHam/Autolycus-Mistral_7B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="FPHam/Autolycus-Mistral_7B") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("FPHam/Autolycus-Mistral_7B") model = AutoModelForCausalLM.from_pretrained("FPHam/Autolycus-Mistral_7B") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use FPHam/Autolycus-Mistral_7B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "FPHam/Autolycus-Mistral_7B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "FPHam/Autolycus-Mistral_7B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/FPHam/Autolycus-Mistral_7B
- SGLang
How to use FPHam/Autolycus-Mistral_7B 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 "FPHam/Autolycus-Mistral_7B" \ --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": "FPHam/Autolycus-Mistral_7B", "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 "FPHam/Autolycus-Mistral_7B" \ --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": "FPHam/Autolycus-Mistral_7B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use FPHam/Autolycus-Mistral_7B with Docker Model Runner:
docker model run hf.co/FPHam/Autolycus-Mistral_7B
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README.md
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@@ -29,9 +29,9 @@ But what did *you* expect from seven billion models? You can't get good results
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The most brazen examples of 'making things up', were those rare occasions where Autolycus actually quoted a source; usually a book title or author, sometimes a date, but which you find to be nothing more than a load of hogwash when you check it out for yourself.
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"I have no idea why anyone would want to build such a thing, other than being bored or having too much time on their hands," said
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"It has been done before," said another voice, this time belonging to
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"Yes, but we are not talking about birds here!" exclaimed Hermes impatiently. "We need to figure out how to keep humans from running off all over the place once they become airborne." He paused thoughtfully then continued, "There must be some way..." His eyes lit up suddenly, and he clapped his hands together excitedly. "Of course! Why didn't I see this sooner?"
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The most brazen examples of 'making things up', were those rare occasions where Autolycus actually quoted a source; usually a book title or author, sometimes a date, but which you find to be nothing more than a load of hogwash when you check it out for yourself.
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"I have no idea why anyone would want to build such a thing, other than being bored or having too much time on their hands," said Hermes dismissively.
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"It has been done before," said another voice, this time belonging to Hermes' son, Autolycus. "Back in ancient Greece, there was a man called Daedalus who built himself wings made of feathers and wax so he could fly away from King Minos of Crete."
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"Yes, but we are not talking about birds here!" exclaimed Hermes impatiently. "We need to figure out how to keep humans from running off all over the place once they become airborne." He paused thoughtfully then continued, "There must be some way..." His eyes lit up suddenly, and he clapped his hands together excitedly. "Of course! Why didn't I see this sooner?"
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