Not-For-All-Audiences

nsfw

Instructions to use NeverSleep/MiquMaid-v1-70B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use NeverSleep/MiquMaid-v1-70B with Transformers:

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

pipe = pipeline("text-generation", model="NeverSleep/MiquMaid-v1-70B")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("NeverSleep/MiquMaid-v1-70B")
model = AutoModelForCausalLM.from_pretrained("NeverSleep/MiquMaid-v1-70B")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use NeverSleep/MiquMaid-v1-70B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "NeverSleep/MiquMaid-v1-70B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "NeverSleep/MiquMaid-v1-70B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/NeverSleep/MiquMaid-v1-70B

SGLang

How to use NeverSleep/MiquMaid-v1-70B 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-v1-70B" \
    --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/MiquMaid-v1-70B",
		"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/MiquMaid-v1-70B" \
        --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/MiquMaid-v1-70B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use NeverSleep/MiquMaid-v1-70B with Docker Model Runner:
```
docker model run hf.co/NeverSleep/MiquMaid-v1-70B
```

MiquMaid

Disclaimer:

This model is HIGHLY EXPERIMENTAL, do not expect everything to work.

This model uses the Alpaca prompting format

Quick train to see if miqu finetuned results in good models

Credits:

Undi
IkariDev

Description

This repo contains FP16 files of MiquMaid-v1-70B.

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".

Custom format:

### Instruction:
{system prompt}

### Input:
{input}

### Response:
{reply}

Others

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

IkariDev: Visit my retro/neocities style website please kek

Downloads last month: 886

Model tree for NeverSleep/MiquMaid-v1-70B

Merges

6 models

Collection including NeverSleep/MiquMaid-v1-70B

MiquMaid

Collection

6 items • Updated Jul 26, 2024 • 12