Instructions to use Ba2han/test-pt-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Ba2han/test-pt-2 with Transformers:

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

pipe = pipeline("text-generation", model="Ba2han/test-pt-2", trust_remote_code=True)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("Ba2han/test-pt-2", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use Ba2han/test-pt-2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Ba2han/test-pt-2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Ba2han/test-pt-2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Ba2han/test-pt-2

SGLang

How to use Ba2han/test-pt-2 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-pt-2" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Ba2han/test-pt-2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

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-pt-2" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Ba2han/test-pt-2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Unsloth Studio new

How to use Ba2han/test-pt-2 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/test-pt-2 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/test-pt-2 to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Ba2han/test-pt-2 to start chatting

Load model with FastModel

pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="Ba2han/test-pt-2",
    max_seq_length=2048,
)

Docker Model Runner
How to use Ba2han/test-pt-2 with Docker Model Runner:
```
docker model run hf.co/Ba2han/test-pt-2
```

Ba2han commited on Apr 23

Commit

0536fb7

verified ·

1 Parent(s): 9d42866

Upload config.json

Browse files

Files changed (1) hide show

config.json +5 -1

config.json CHANGED Viewed

@@ -9,6 +9,10 @@
   "eos_token_id": 50031,
   "head_dim": 128,
   "hidden_act": "squared_relu",
   "hidden_size": 1152,
   "initializer_range": 0.02,
   "intermediate_size": 2880,
@@ -57,7 +61,7 @@
   "max_position_embeddings": 8192,
   "max_window_layers": 40,
   "model_name": "test_checkpoint",
-  "model_type": "qwen3",
   "num_attention_heads": 8,
   "num_hidden_layers": 40,
   "num_key_value_heads": 8,

   "eos_token_id": 50031,
   "head_dim": 128,
   "hidden_act": "squared_relu",
+  "auto_map": {
+    "AutoConfig": "configuration_patched.PatchedQwen3Config",
+    "AutoModelForCausalLM": "modeling_patched.PatchedQwen3ForCausalLM"
+  },
   "hidden_size": 1152,
   "initializer_range": 0.02,
   "intermediate_size": 2880,
   "max_position_embeddings": 8192,
   "max_window_layers": 40,
   "model_name": "test_checkpoint",
+  "model_type": "patched_qwen3",
   "num_attention_heads": 8,
   "num_hidden_layers": 40,
   "num_key_value_heads": 8,