Instructions to use NeverSleep/Noromaid-7b-v0.1.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use NeverSleep/Noromaid-7b-v0.1.1 with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="NeverSleep/Noromaid-7b-v0.1.1")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("NeverSleep/Noromaid-7b-v0.1.1")
model = AutoModelForCausalLM.from_pretrained("NeverSleep/Noromaid-7b-v0.1.1", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use NeverSleep/Noromaid-7b-v0.1.1 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "NeverSleep/Noromaid-7b-v0.1.1"
# 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-7b-v0.1.1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/NeverSleep/Noromaid-7b-v0.1.1

SGLang

How to use NeverSleep/Noromaid-7b-v0.1.1 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-7b-v0.1.1" \
    --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-7b-v0.1.1",
		"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-7b-v0.1.1" \
        --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-7b-v0.1.1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use NeverSleep/Noromaid-7b-v0.1.1 with Docker Model Runner:
```
docker model run hf.co/NeverSleep/Noromaid-7b-v0.1.1
```

Noromaid built on top of Starling-LM-7B-alpha

by Joseph717171 - opened Dec 5, 2023

Discussion

Joseph717171

Dec 5, 2023

•

edited Dec 5, 2023

Maywell’s PiVoT-0.1-Starling-LM-RP is based on berkeley-nest/Starling-LM-7B-alpha, which is based on OpenChat 3.5, and it does well at RP. I think Starling-LM-7B-alpha would work as a terrific base for Noromaid.
https://huggingface.co/maywell/PiVoT-0.1-Starling-LM-RP
https://huggingface.co/berkeley-nest/Starling-LM-7B-alpha
https://huggingface.co/openchat/openchat_3.5

OPENCHAT 3.5:
🔥 The first 7B model Achieves Comparable Results with ChatGPT (March)! 🔥

🤖 #1 Open-source model on MT-bench scoring 7.81, outperforming 70B models 🤖

OpenChat is an innovative library of open-source language models, fine-tuned with C-RLFT - a strategy inspired by offline reinforcement learning. Our models learn from mixed-quality data without preference labels, delivering exceptional performance on par with ChatGPT, even with a 7B model. Despite our simple approach, we are committed to developing a high-performance, commercially viable, open-source large language model, and we continue to make significant strides toward this vision.

athirdpath

Dec 5, 2023

•

edited Dec 5, 2023

I got notified for this, and it seems like a good opportunity to shill my PivotMaid-Starling-11b, something that might work for your use case. Sorry if that's out of line.

Joseph717171

Dec 5, 2023

•

edited Dec 5, 2023

No worries. I’ll give it a try. I’m always looking for new models to play with. Thanks🤘😁

IkariDev

NeverSleep org Dec 6, 2023

This is not an official finetune so it will loose quality ofc, if you can show us that it is a good model in practise me way consider training on it.

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