Instructions to use Ba2han/sft-test2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Ba2han/sft-test2 with Transformers:

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

pipe = pipeline("text-generation", model="Ba2han/sft-test2", trust_remote_code=True)
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Ba2han/sft-test2", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("Ba2han/sft-test2", trust_remote_code=True, 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 Ba2han/sft-test2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Ba2han/sft-test2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Ba2han/sft-test2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Ba2han/sft-test2

SGLang

How to use Ba2han/sft-test2 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 "Ba2han/sft-test2" \
    --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": "Ba2han/sft-test2",
		"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 "Ba2han/sft-test2" \
        --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": "Ba2han/sft-test2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Unsloth Studio

How to use Ba2han/sft-test2 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 Ba2han/sft-test2 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 Ba2han/sft-test2 to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Ba2han/sft-test2 to start chatting

Load model with FastModel

pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="Ba2han/sft-test2",
    max_seq_length=2048,
)

Docker Model Runner
How to use Ba2han/sft-test2 with Docker Model Runner:
```
docker model run hf.co/Ba2han/sft-test2
```

Ba2han commited on Jun 3

Commit

4560a85

verified ·

1 Parent(s): 4e1c50b

Training in progress, step 1189, checkpoint

Browse files

Files changed (7) hide show

last-checkpoint/model.safetensors +1 -1
last-checkpoint/optimizer.pt +1 -1
last-checkpoint/rng_state_0.pth +1 -1
last-checkpoint/rng_state_1.pth +1 -1
last-checkpoint/scheduler.pt +1 -1
last-checkpoint/trainer_state.json +0 -0
last-checkpoint/training_args.bin +1 -1

last-checkpoint/model.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3bac6493d515a7ccc7b723f9ed401c640a59c79f2d36c7e4be7d48002a4e8473
 size 1049614696

 version https://git-lfs.github.com/spec/v1
+oid sha256:d063101b3e38387df2bfd3e87ebcb97b09cd97b49a24877ae80c586e0c858703
 size 1049614696

last-checkpoint/optimizer.pt CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:671270517c33ff5fa65718e29b765ebb373a543c51c5bf9aa29f7413430d2790
 size 962892367

 version https://git-lfs.github.com/spec/v1
+oid sha256:ce8f14d0b8f37ae3816071ca92d999094027a71a612821411071db92bd0368a0
 size 962892367

last-checkpoint/rng_state_0.pth CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9de537433b473b3b75a3c1b10ca47a1821fdf2b7b6f501ee03adc5caf6563bdf
 size 14917

 version https://git-lfs.github.com/spec/v1
+oid sha256:17fb87d58729750b6a822803a97d31e8b5a10298c7ed151e194ef2326ce4cae7
 size 14917

last-checkpoint/rng_state_1.pth CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ce221981a704f30cfbc27253a165c15733b7002f28ea175255b5730b028be19a
 size 14917

 version https://git-lfs.github.com/spec/v1
+oid sha256:af0a7ee263c86993827e78489f8453a2f5e2dc4a319bacd7852b7779734bee70
 size 14917

last-checkpoint/scheduler.pt CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fc632092b9959669b18c82b76135f4369c0c3402d5894d80342fded58cbc8dae
 size 1465

 version https://git-lfs.github.com/spec/v1
+oid sha256:a8f794337bfb279ff2cabeaad92c1b51156a224de47a69a425853bd0689d3132
 size 1465

last-checkpoint/trainer_state.json CHANGED Viewed

The diff for this file is too large to render. See raw diff

last-checkpoint/training_args.bin CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:df2914beb17e8d6b0f414b18bdfad46be81f0ffee8c30550463d4ec49a3b3dca
 size 5777

 version https://git-lfs.github.com/spec/v1
+oid sha256:9ea887f2afc834e3c73ba2bb0d323cb4dbd0efcdd558cf130896b2f59beba6cd
 size 5777