Instructions to use ayan4m1/Claudette-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ayan4m1/Claudette-7B with Transformers:

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

pipe = pipeline("text-generation", model="ayan4m1/Claudette-7B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("ayan4m1/Claudette-7B")
model = AutoModelForCausalLM.from_pretrained("ayan4m1/Claudette-7B")
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 ayan4m1/Claudette-7B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ayan4m1/Claudette-7B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ayan4m1/Claudette-7B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/ayan4m1/Claudette-7B

SGLang

How to use ayan4m1/Claudette-7B 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 "ayan4m1/Claudette-7B" \
    --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": "ayan4m1/Claudette-7B",
		"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 "ayan4m1/Claudette-7B" \
        --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": "ayan4m1/Claudette-7B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use ayan4m1/Claudette-7B with Docker Model Runner:
```
docker model run hf.co/ayan4m1/Claudette-7B
```

Make a New Version of Claudette.

by User8213 - opened Mar 10, 2025

Discussion

User8213

Mar 10, 2025

Claude Sonnet 3.7 (Thinking) Datasets are starting to surface onto HuggingFace; I suggest taking a look.

Datasets:

https://huggingface.co/datasets/davidbai/Stratos-3k-3.7Sonnet
https://huggingface.co/datasets/reedmayhew/claude-3.7-sonnet-reasoning

And many more to come...

ayan4m1

Owner Mar 10, 2025

I tried to train a reasoning/thinking version of Mistral a few weeks ago using unsloth and did not end up with a model that was capable of reasoning correctly, so I'll give it another shot with these datasets but not sure I'll be able to deliver what you're asking for.

rakeshchow202

Mar 17, 2025

try QWQ its already great at reasoning

ayan4m1 changed discussion status to closed Mar 18, 2025

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