Instructions to use mistralai/Mistral-7B-Instruct-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mistralai/Mistral-7B-Instruct-v0.1 with Transformers:

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

pipe = pipeline("text-generation", model="mistralai/Mistral-7B-Instruct-v0.1")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("mistralai/Mistral-7B-Instruct-v0.1")
model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.1", device_map="auto")
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]:]))

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use mistralai/Mistral-7B-Instruct-v0.1 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Install mistral-common:
pip install --upgrade mistral-common
# Start the vLLM server:
vllm serve "mistralai/Mistral-7B-Instruct-v0.1" --tokenizer_mode mistral --config_format mistral --load_format mistral --tool-call-parser mistral --enable-auto-tool-choice
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "mistralai/Mistral-7B-Instruct-v0.1",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/mistralai/Mistral-7B-Instruct-v0.1

SGLang

How to use mistralai/Mistral-7B-Instruct-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 "mistralai/Mistral-7B-Instruct-v0.1" \
    --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": "mistralai/Mistral-7B-Instruct-v0.1",
		"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 "mistralai/Mistral-7B-Instruct-v0.1" \
        --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": "mistralai/Mistral-7B-Instruct-v0.1",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use mistralai/Mistral-7B-Instruct-v0.1 with Docker Model Runner:
```
docker model run hf.co/mistralai/Mistral-7B-Instruct-v0.1
```

Access request for Mistral model

#162

by Code-fy - opened Jun 15, 2025

Discussion

Code-fy

Jun 15, 2025

Hello,
I am a developer working on a project to run the Mistral 7B model locally with ONNX. I need access to download the tokenizer and model files to continue my work. Thank you very much for your consideration.

Code-fy

Jun 15, 2025

Hello,

I would like to cancel my access request for version 0.1 of the model, as I am now requesting access for version 0.3 instead. Please disregard my previous request.

Thank you for your understanding.

Best regards,

deleted

Jun 16, 2025

Hello,
I am a developer working on a personal project to run the Mistral 7B model locally with COLAP. I need access to download the tokenizer and model to continue my work. Thank you very much for your consideration.

gattsu21

Jun 18, 2025

me too i'd love access :)

dsmlanu

Jun 23, 2025

For accessing this model required permission because it's a gated repo. For permission, please follow the steps: - login hugging face->click https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1->click on Access Repository->click on Request Access->click on agree-> some time its given access instantly or take few min.

ARtOrias11

Jun 28, 2025

Hello,

I’m a developer currently working on a project that requires running the Mistral 7B model via API inference. I’d like to request access to the model for evaluation and integration purposes.

Thank you for your time and consideration.

Best regards,

TheAnalyzer

Jun 29, 2025

For accessing this model required permission because it's a gated repo. For permission, please follow the steps: - login hugging face->click https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1->click on Access Repository->click on Request Access->click on agree-> some time its given access instantly or take few min.

I tried that but its still not working even when it says "You have been granted the access".

Did you all received access later after messaging here?

ZiggyS

Jun 29, 2025

Leaving messages and dirtying up the 'list' is the wrong way to do it. Following directions, is the correct way.

With luck you pissed them off and wont ever get it.

asomiddinsaidov07

Sep 30, 2025

I am requesting access to the mistralai/Mistral-7B-Instruct-v0.1 model for a non-commercial educational project. I am developing an educational platform that leverages fine-tuned language models to provide Q&A and tutoring features for students, focusing on subjects like math, science, and programming.

Faruna01

Apr 13

Hello,

I would love access to the model "Mistral-7B-Instruct-v0.3" for personal/research use.

Details:

Username: Faruna01
Purpose: Personal project
Email: farunagodwin01@gmail.com

Thanks!

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