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

Libraries

How to use maywell/Mini_Synatra_SFT with Transformers:

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

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

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("maywell/Mini_Synatra_SFT")
model = AutoModelForCausalLM.from_pretrained("maywell/Mini_Synatra_SFT")
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 maywell/Mini_Synatra_SFT with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/maywell/Mini_Synatra_SFT

SGLang

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

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

maywell commited on Nov 25, 2023

Commit

fc042f6

1 Parent(s): abaab2b

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@@ -1,3 +1,27 @@
 ---
 license: cc-by-sa-4.0
 ---

 ---
+language:
+- ko
+library_name: transformers
+pipeline_tag: text-generation
 license: cc-by-sa-4.0
 ---
+# **Mini_Synatra_SFT🐧**
+## Support Me
+시나트라는 개인 프로젝트로, 1인의 자원으로 개발되고 있습니다. 모델이 마음에 드셨다면 약간의 연구비 지원은 어떨까요?
+[<img src="https://cdn.buymeacoffee.com/buttons/default-orange.png" alt="Buy me a Coffee" width="217" height="50">](https://www.buymeacoffee.com/mwell)
+Wanna be a sponser? Contact me on Telegram **AlzarTakkarsen**
+# **Model Details**
+**Base Model**
+[Minirecord/Mini_synatra_7b_02](https://huggingface.co/Minirecord/Mini_synatra_7b_02)
+**Trained On**
+A100 80GB * 1
+**Instruction format**
+It follows [ChatML](https://github.com/openai/openai-python/blob/main/chatml.md) format.