Instructions to use NeverSleep/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use NeverSleep/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss with Transformers:

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

pipe = pipeline("text-generation", model="NeverSleep/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("NeverSleep/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss")
model = AutoModelForCausalLM.from_pretrained("NeverSleep/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss")
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 Settings

vLLM

How to use NeverSleep/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "NeverSleep/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "NeverSleep/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/NeverSleep/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss

SGLang

How to use NeverSleep/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss 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-v0.4-Mixtral-Instruct-8x7b-Zloss" \
    --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": "NeverSleep/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss",
		"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 "NeverSleep/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss" \
        --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": "NeverSleep/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use NeverSleep/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss with Docker Model Runner:
```
docker model run hf.co/NeverSleep/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

Disclaimer:

This model is experimental, do not expect everything to work.

This model uses the Chatml prompting format

Beeg noromaid on steroids. Suitable for RP, ERP.

This model was trained on the Zloss fork of Charles, and should fix issue the model had.

Use Chatml prompt format, but not the special token.

The reason is that Axolotl merge the finetune with the base model at 1.0 weight basically, but this is too much, so I use another script available HERE to merge with less weight, sadly, it don't take the special Chatml token. It's like Orca2 for the matter.

Credits:

Undi
IkariDev

Description

This repo contains FP16 files of Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss.

FP16 - by IkariDev and Undi

GGUF - by IkariDev and Undi

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 format: Chatml

<|im_start|>system
{sysprompt}<|im_end|>
<|im_start|>user
{input}<|im_end|>
<|im_start|>assistant
{output}<|im_end|>

Datasets used:

Aesir 1, 2 & 3 modified by us, credit to (MinervaAI / Gryphe)
LimaRP-20231109 (Lemonilia)
ToxicQAFinal (NobodyExistsOnTheInternet
No-robots-ShareGPT (Doctor-Shotgun)

Others

Undi: If you want to support me, you can here.

IkariDev: Visit my retro/neocities style website please kek

Downloads last month: 26

Safetensors

Model size

47B params

Tensor type

BF16

Model tree for NeverSleep/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss

Merges

16 models

Quantizations

6 models