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text-generation-inference

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Community

Instructions to use NeverSleep/MiquMaid-v3-70B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

Transformers

How to use NeverSleep/MiquMaid-v3-70B with Transformers:

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

pipe = pipeline("text-generation", model="NeverSleep/MiquMaid-v3-70B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForMultimodalLM

tokenizer = AutoTokenizer.from_pretrained("NeverSleep/MiquMaid-v3-70B")
model = AutoModelForMultimodalLM.from_pretrained("NeverSleep/MiquMaid-v3-70B")
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/MiquMaid-v3-70B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "NeverSleep/MiquMaid-v3-70B"
# 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/MiquMaid-v3-70B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/NeverSleep/MiquMaid-v3-70B

SGLang

How to use NeverSleep/MiquMaid-v3-70B 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/MiquMaid-v3-70B" \
    --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/MiquMaid-v3-70B",
		"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/MiquMaid-v3-70B" \
        --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/MiquMaid-v3-70B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use NeverSleep/MiquMaid-v3-70B with Docker Model Runner:
```
docker model run hf.co/NeverSleep/MiquMaid-v3-70B
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

MiquMaid v3

Check out our blogpost about this model series Here! - Join our Discord server Here!

This model uses the Alpaca prompting format

Model trained for RP conversation on Miqu-70B with our magic sauce. Then we made an enormous merge containing all out old iteration of Miqumaid, and some other RP Miqu based model, with the new Model Stock merging method.

Credits:

Undi
IkariDev

Description

This repo contains FP16 files of MiquMaid-v3-70B.

Switch: FP16 - GGUF

Training data used:

Aesir datasets
NoRobots
limarp - 8k ctx
toxic-dpo-v0.1-sharegpt
ToxicQAFinal
Luminae-i1 - Ikari's Dataset
Squish42/bluemoon-fandom-1-1-rp-cleaned - 50% (randomly)
NobodyExistsOnTheInternet/PIPPAsharegptv2test - 5% (randomly)
cgato/SlimOrcaDedupCleaned - 5% (randomly)

Models used

Custom format:

### Instruction:
{system prompt}
### Input:
{input}
### Response:
{reply}

Mistral [INST][/INST] prompt format should work too.

Others

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

IkariDev: Visit my retro/neocities style website please kek

Downloads last month: 88

Safetensors

Model size

69B params

Tensor type

BF16

Model tree for NeverSleep/MiquMaid-v3-70B

Merges

3 models

Quantizations

3 models

Collection including NeverSleep/MiquMaid-v3-70B

MiquMaid

Collection

6 items • Updated Jul 26, 2024 • 12

Paper for NeverSleep/MiquMaid-v3-70B

Model Stock: All we need is just a few fine-tuned models

Paper • 2403.19522 • Published Mar 28, 2024 • 15