Instructions to use ChevalierJoseph/typtop10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ChevalierJoseph/typtop10 with Transformers:

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

pipe = pipeline("text-generation", model="ChevalierJoseph/typtop10")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("ChevalierJoseph/typtop10")
model = AutoModelForCausalLM.from_pretrained("ChevalierJoseph/typtop10", 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]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use ChevalierJoseph/typtop10 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ChevalierJoseph/typtop10"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ChevalierJoseph/typtop10",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/ChevalierJoseph/typtop10

SGLang

How to use ChevalierJoseph/typtop10 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 "ChevalierJoseph/typtop10" \
    --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": "ChevalierJoseph/typtop10",
		"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 "ChevalierJoseph/typtop10" \
        --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": "ChevalierJoseph/typtop10",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Unsloth Studio

How to use ChevalierJoseph/typtop10 with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for ChevalierJoseph/typtop10 to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for ChevalierJoseph/typtop10 to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for ChevalierJoseph/typtop10 to start chatting

Load model with FastModel

pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="ChevalierJoseph/typtop10",
    max_seq_length=2048,
)

Docker Model Runner
How to use ChevalierJoseph/typtop10 with Docker Model Runner:
```
docker model run hf.co/ChevalierJoseph/typtop10
```

ChevalierJoseph commited on Jul 22, 2025

Commit

9facc76

verified ·

1 Parent(s): 2b62a8e

(Trained with Unsloth)

Browse files

Files changed (3) hide show

config.json +1 -1
model-00001-of-00002.safetensors +2 -2
model.safetensors.index.json +1 -1

config.json CHANGED Viewed

@@ -46,7 +46,7 @@
   "torch_dtype": "bfloat16",
   "transformers_version": "4.53.2",
   "unsloth_fixed": true,
-  "unsloth_version": "2025.7.5",
   "use_cache": true,
   "vocab_size": 128256
 }

   "torch_dtype": "bfloat16",
   "transformers_version": "4.53.2",
   "unsloth_fixed": true,
+  "unsloth_version": "2025.7.6",
   "use_cache": true,
   "vocab_size": 128256
 }

model-00001-of-00002.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1f8ba74707ead90bab9e7f4c88f9900f5a18157298ed2ede0e3344f1b93ed980
-size 4652072902

 version https://git-lfs.github.com/spec/v1
+oid sha256:5c5df06741f8f91a0b07bda4735969f226e77d4ece19b538771e32c367714fec
+size 4652072908

model.safetensors.index.json CHANGED Viewed

@@ -1,7 +1,7 @@
 {
   "metadata": {
     "total_parameters": 8030261248,
-    "total_size": 5702577718
   },
   "weight_map": {
     "lm_head.weight": "model-00002-of-00002.safetensors",

 {
   "metadata": {
     "total_parameters": 8030261248,
+    "total_size": 5702577724
   },
   "weight_map": {
     "lm_head.weight": "model-00002-of-00002.safetensors",