Instructions to use theNovaAI/Hypernova-experimental with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use theNovaAI/Hypernova-experimental with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="theNovaAI/Hypernova-experimental")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("theNovaAI/Hypernova-experimental") model = AutoModelForCausalLM.from_pretrained("theNovaAI/Hypernova-experimental", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use theNovaAI/Hypernova-experimental with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "theNovaAI/Hypernova-experimental" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "theNovaAI/Hypernova-experimental", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/theNovaAI/Hypernova-experimental
- SGLang
How to use theNovaAI/Hypernova-experimental 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 "theNovaAI/Hypernova-experimental" \ --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": "theNovaAI/Hypernova-experimental", "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 "theNovaAI/Hypernova-experimental" \ --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": "theNovaAI/Hypernova-experimental", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use theNovaAI/Hypernova-experimental with Docker Model Runner:
docker model run hf.co/theNovaAI/Hypernova-experimental
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Download README.md from theNovaAI/Hypernova-experimental: direct link, hf CLI and curl.
- Browser
- Download file 990 Bytes
-
https://huggingface.co/theNovaAI/Hypernova-experimental/resolve/main/README.md
- Command line
-
hf download hf://theNovaAI/Hypernova-experimental/README.md
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curl -L -o README.md https://huggingface.co/theNovaAI/Hypernova-experimental/resolve/main/README.md
990 Bytes
| language: | |
| - en | |
| license: cc-by-nc-sa-4.0 | |
| library_name: transformers | |
| base_model: | |
| - Undi95/Emerald-13B | |
| - Gryphe/MythoMax-L2-13b | |
| inference: false | |
| ## Hypernova-experimental | |
| Tried some new stuff this time around. Very different outcome than I expected. | |
| This is an experimental model that was created for the development of NovaAI. | |
| Good at chatting and some RP. Sometimes gets characters mixed up. Can occasionally struggle with context. | |
| Quantized model here: [theNovaAI/Hypernova-experimental-GPTQ](https://huggingface.co/theNovaAI/Hypernova-experimental-GPTQ) | |
| ## Prompt Template: Alpaca | |
| ``` | |
| Below is an instruction that describes a task. Write a response that appropriately completes the request. | |
| ### Instruction: | |
| {prompt} | |
| ### Response: | |
| ``` | |
| ### Models Merged | |
| The following models were included in the merge: | |
| * [Undi95/Emerald-13B](https://huggingface.co/Undi95/Emerald-13B) | |
| * [Gryphe/MythoMax-L2-13b](https://huggingface.co/Gryphe/MythoMax-L2-13b) | |
| Some finetuning done as well |