Instructions to use uncensoredai/Mistral-Small-24B-Instruct-2501 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use uncensoredai/Mistral-Small-24B-Instruct-2501 with Transformers:

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

pipe = pipeline("text-generation", model="uncensoredai/Mistral-Small-24B-Instruct-2501")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("uncensoredai/Mistral-Small-24B-Instruct-2501")
model = AutoModelForCausalLM.from_pretrained("uncensoredai/Mistral-Small-24B-Instruct-2501")
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

vLLM

How to use uncensoredai/Mistral-Small-24B-Instruct-2501 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "uncensoredai/Mistral-Small-24B-Instruct-2501"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "uncensoredai/Mistral-Small-24B-Instruct-2501",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/uncensoredai/Mistral-Small-24B-Instruct-2501

SGLang

How to use uncensoredai/Mistral-Small-24B-Instruct-2501 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 "uncensoredai/Mistral-Small-24B-Instruct-2501" \
    --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": "uncensoredai/Mistral-Small-24B-Instruct-2501",
		"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 "uncensoredai/Mistral-Small-24B-Instruct-2501" \
        --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": "uncensoredai/Mistral-Small-24B-Instruct-2501",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use uncensoredai/Mistral-Small-24B-Instruct-2501 with Docker Model Runner:
```
docker model run hf.co/uncensoredai/Mistral-Small-24B-Instruct-2501
```

LHC88 commited on Feb 2, 2025

Commit

745c263

1 Parent(s): 99da7d1

Add tokenizer.json using Git LFS

Browse files

Files changed (11) hide show

.gitattributes +1 -0
model-00001-of-00010.safetensors +3 -0
model-00002-of-00010.safetensors +3 -0
model-00003-of-00010.safetensors +3 -0
model-00004-of-00010.safetensors +3 -0
model-00005-of-00010.safetensors +3 -0
model-00006-of-00010.safetensors +3 -0
model-00007-of-00010.safetensors +3 -0
model-00008-of-00010.safetensors +3 -0
model-00009-of-00010.safetensors +3 -0
model-00010-of-00010.safetensors +3 -0

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text

 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

+version https://git-lfs.github.com/spec/v1
+oid sha256:75a14c708eea501700a723dc74bc886cf36a1393686a3fb098ee106b160da32f
+size 4781571736

+version https://git-lfs.github.com/spec/v1
+oid sha256:1ff40fbfd9e042b7dab3f3c9442f870a4701f53e394dda769807a160ba40f32a
+size 4781592784

+version https://git-lfs.github.com/spec/v1
+oid sha256:4cc2d059fded71efd2947a414f32053b4ed3fa84383edf97b6d91fd9f04e4235
+size 4781592800

+version https://git-lfs.github.com/spec/v1
+oid sha256:aa0e9acacf161c45ae0d71ca3f7e4ec9ee55dae2153398da52f81ee4f9e1b8d2
+size 4886471600

+version https://git-lfs.github.com/spec/v1
+oid sha256:dafb696763d31a1fda58010b73ecc05c19d395da8ec2c24aa9c41da33f2230d3
+size 4781592824

+version https://git-lfs.github.com/spec/v1
+oid sha256:d9a433b19fd4d6986660a616a0d6fc7d02d9e8c0ab3c9b98940217ee6bd4e053
+size 4781592816

+version https://git-lfs.github.com/spec/v1
+oid sha256:c4c3bcedc02f4dd7e04c8b0fe1199f4f27de7a37790d1510a8772ffe05093543
+size 3900777072

	@@ -0,0 +1,3 @@

	@@ -0,0 +1,3 @@

	@@ -0,0 +1,3 @@

	@@ -0,0 +1,3 @@