Instructions to use NeverSleep/Noromaid-13b-v0.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NeverSleep/Noromaid-13b-v0.2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="NeverSleep/Noromaid-13b-v0.2")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("NeverSleep/Noromaid-13b-v0.2") model = AutoModelForCausalLM.from_pretrained("NeverSleep/Noromaid-13b-v0.2") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use NeverSleep/Noromaid-13b-v0.2 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "NeverSleep/Noromaid-13b-v0.2" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "NeverSleep/Noromaid-13b-v0.2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/NeverSleep/Noromaid-13b-v0.2
- SGLang
How to use NeverSleep/Noromaid-13b-v0.2 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 "NeverSleep/Noromaid-13b-v0.2" \ --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": "NeverSleep/Noromaid-13b-v0.2", "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 "NeverSleep/Noromaid-13b-v0.2" \ --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": "NeverSleep/Noromaid-13b-v0.2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use NeverSleep/Noromaid-13b-v0.2 with Docker Model Runner:
docker model run hf.co/NeverSleep/Noromaid-13b-v0.2
Disclaimer:
This is a VERY EXPERIMENTAL version, don't expect everything to work!!!
If you don't like this model, use Noromaid 0.1.1
You may use our custom prompting format(scroll down to download them!), or simple alpaca. (Choose which fits best for you!)
Expect that many things will change in the next version!!
Mergemonster and a new dataset were used.
If you want a 7b, or 20b hit us up in the Community tab!
This model is a collab between IkariDev and Undi!
Test model. Suitable for RP, ERP and general stuff.
[Recommended settings - No settings yet(Please suggest some over in the Community tab!)]
Description
This repo contains FP16 files of Noromaid-13b-v0.2.
Ratings:
Note: We have permission of all users to upload their ratings, we DONT screenshot random reviews without asking if we can put them here!
No ratings yet!
If you want your rating to be here, send us a message over on DC and we'll put up a screenshot of it here. DC name is "ikaridev" and "undi".
Prompt template: Custom format, or Alpaca
Custom format:
UPDATED!! SillyTavern config files: Context, Instruct.
Alpaca:
Below is an instruction that describes a task. Write a response that appropriately completes the request.
### Instruction:
{prompt}
### Response:
Training data used:
- no_robots dataset let the model have more human behavior, enhances the output.
- [Aesir Private RP dataset] New data from a new and never used before dataset, add fresh data, no LimaRP spam, this is 100% new. Thanks to the MinvervaAI Team and, in particular, Gryphe for letting us use it!
- [Another private Aesir dataset]
Others
Undi: If you want to support me, you can here.
IkariDev: Visit my retro/neocities style website please kek
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