Text Generation
Transformers
PyTorch
English
llama
alpaca
vicuna
mix
Merge
model merge
roleplay
chat
instruct
text-generation-inference
Instructions to use digitous/13B-HyperMantis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use digitous/13B-HyperMantis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="digitous/13B-HyperMantis")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("digitous/13B-HyperMantis") model = AutoModelForCausalLM.from_pretrained("digitous/13B-HyperMantis") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use digitous/13B-HyperMantis with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "digitous/13B-HyperMantis" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "digitous/13B-HyperMantis", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/digitous/13B-HyperMantis
- SGLang
How to use digitous/13B-HyperMantis 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 "digitous/13B-HyperMantis" \ --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": "digitous/13B-HyperMantis", "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 "digitous/13B-HyperMantis" \ --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": "digitous/13B-HyperMantis", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use digitous/13B-HyperMantis with Docker Model Runner:
docker model run hf.co/digitous/13B-HyperMantis
Update README.md
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README.md
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Make Narrator perform as a text based adventure game with Player as Narrator's user input. Make Narrator describe the scene, scenario, actions of characters, reactions of characters to the player's actions, and potential consequences of their actions and Player's actions when relevant with visually descriptive, detailed, and long storytelling. Allow characters and Player to converse to immerse Player in a rich narrative driven story. When Player encounters a new character, Narrator will name the new character and describe their behavior and appearance. Narrator will internally determine their underlying motivations and weave it into the story where possible.
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In KAI, this is why 'No Prompt Gen:On' is important; make your first entry a short writeup of your current situation, or simply reiterate Narrator is a text adventure game and Player is the input. Then your next entry, despite simply being a chat interface, it will kick off what will happen next for Narrator to riff off of. In TGUI, an equivalent setup works the same. Of course, tailor this to whatever you want it to be; instruct models can be as versatile as your imagination. If things go sideways have fun.
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Make Narrator perform as a text based adventure game with Player as Narrator's user input. Make Narrator describe the scene, scenario, actions of characters, reactions of characters to the player's actions, and potential consequences of their actions and Player's actions when relevant with visually descriptive, detailed, and long storytelling. Allow characters and Player to converse to immerse Player in a rich narrative driven story. When Player encounters a new character, Narrator will name the new character and describe their behavior and appearance. Narrator will internally determine their underlying motivations and weave it into the story where possible.
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\#\#\# Response:
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[Put A Carriage Return Here]
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In KAI, this is why 'No Prompt Gen:On' is important; make your first entry a short writeup of your current situation, or simply reiterate Narrator is a text adventure game and Player is the input. Then your next entry, despite simply being a chat interface, it will kick off what will happen next for Narrator to riff off of. In TGUI, an equivalent setup works the same. Of course, tailor this to whatever you want it to be; instruct models can be as versatile as your imagination. If things go sideways have fun.
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