Instructions to use mistral-community/Mixtral-8x22B-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mistral-community/Mixtral-8x22B-v0.1 with Transformers:

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

pipe = pipeline("text-generation", model="mistral-community/Mixtral-8x22B-v0.1")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("mistral-community/Mixtral-8x22B-v0.1")
model = AutoModelForCausalLM.from_pretrained("mistral-community/Mixtral-8x22B-v0.1", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use mistral-community/Mixtral-8x22B-v0.1 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "mistral-community/Mixtral-8x22B-v0.1"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "mistral-community/Mixtral-8x22B-v0.1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/mistral-community/Mixtral-8x22B-v0.1

SGLang

How to use mistral-community/Mixtral-8x22B-v0.1 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 "mistral-community/Mixtral-8x22B-v0.1" \
    --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": "mistral-community/Mixtral-8x22B-v0.1",
		"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 "mistral-community/Mixtral-8x22B-v0.1" \
        --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": "mistral-community/Mixtral-8x22B-v0.1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use mistral-community/Mixtral-8x22B-v0.1 with Docker Model Runner:
```
docker model run hf.co/mistral-community/Mixtral-8x22B-v0.1
```

mistral-community/Mixtral-8x22B-v0.1

#10

by savinmb - opened Apr 12, 2024

Discussion

savinmb

Apr 12, 2024

Is it possible to translate a large paragraph text to another language using this model?. If possible is there any free API key available for testing purpose.
My intention is to translate website content from default language to another language form typo3 cms backend.
Let say german to english language using mixtral model

Atala

Apr 12, 2024

how to get the .bin flle for mixtral-8x22B

Upload images, audio, and videos by dragging in the text input, pasting, or clicking here.

Tap or paste here to upload images

· Sign up or log in to comment