Instructions to use Ba2han/test_CPTlsft2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Ba2han/test_CPTlsft2 with Transformers:

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

pipe = pipeline("text-generation", model="Ba2han/test_CPTlsft2")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Ba2han/test_CPTlsft2")
model = AutoModelForCausalLM.from_pretrained("Ba2han/test_CPTlsft2", 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=256)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Ba2han/test_CPTlsft2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Ba2han/test_CPTlsft2"
# 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/test_CPTlsft2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Ba2han/test_CPTlsft2

SGLang

How to use Ba2han/test_CPTlsft2 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/test_CPTlsft2" \
    --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/test_CPTlsft2",
		"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/test_CPTlsft2" \
        --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/test_CPTlsft2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Unsloth Desktop
Docker Model Runner
How to use Ba2han/test_CPTlsft2 with Docker Model Runner:
```
docker model run hf.co/Ba2han/test_CPTlsft2
```

Ba2han commited on Aug 5

Commit

a631c31

verified ·

1 Parent(s): 1aa6e91

Training in progress, step 4222, checkpoint

Browse files

Files changed (4) hide show

last-checkpoint/model.safetensors +1 -1
last-checkpoint/optimizer.pt +1 -1
last-checkpoint/scheduler.pt +1 -1
last-checkpoint/trainer_state.json +0 -0

last-checkpoint/model.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:83fe4f6b795672b22e82a4dd681c7081d1845728df00ea04b1de92ee966d7f18
 size 2934397032

 version https://git-lfs.github.com/spec/v1
+oid sha256:4473cd17aba2590dc4c596dc1bdb44de0d0c287b67600826dcc4a39d87d4bff8
 size 2934397032

last-checkpoint/optimizer.pt CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:42c5795da12c70a56422577da9be7debdcc428fda6ae4f7e9912756cea5c6dc7
 size 1474377656

 version https://git-lfs.github.com/spec/v1
+oid sha256:54c9f2e6311bbe8cd21eb2692a02405bc929fcf22155f3d77592e46aaf7a80d9
 size 1474377656

last-checkpoint/scheduler.pt CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f42fd73ed2bbd56e70a993258d280224d341fc48f42b4f77eb93b2468b5a7692
 size 9785

 version https://git-lfs.github.com/spec/v1
+oid sha256:fe97f02af13eb4f4337958606d4a5c942d59590126cdd55ec9f43076bc17ccb4
 size 9785

last-checkpoint/trainer_state.json CHANGED Viewed

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