Instructions to use kyubeen/test-checkpoint-1000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use kyubeen/test-checkpoint-1000 with Transformers:

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

pipe = pipeline("text-generation", model="kyubeen/test-checkpoint-1000")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("kyubeen/test-checkpoint-1000")
model = AutoModelForCausalLM.from_pretrained("kyubeen/test-checkpoint-1000")
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 kyubeen/test-checkpoint-1000 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "kyubeen/test-checkpoint-1000"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "kyubeen/test-checkpoint-1000",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/kyubeen/test-checkpoint-1000

SGLang

How to use kyubeen/test-checkpoint-1000 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 "kyubeen/test-checkpoint-1000" \
    --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": "kyubeen/test-checkpoint-1000",
		"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 "kyubeen/test-checkpoint-1000" \
        --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": "kyubeen/test-checkpoint-1000",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use kyubeen/test-checkpoint-1000 with Docker Model Runner:
```
docker model run hf.co/kyubeen/test-checkpoint-1000
```

kyubeen commited on Mar 29

Commit

2ab118f

verified ·

1 Parent(s): 1d9de84

Upload Qwen3ForCausalLM

Browse files

Files changed (2) hide show

config.json +3 -6
generation_config.json +1 -1

config.json CHANGED Viewed

@@ -4,7 +4,6 @@
   ],
   "attention_bias": false,
   "attention_dropout": 0.0,
-  "bos_token_id": null,
   "dtype": "bfloat16",
   "eos_token_id": 151645,
   "head_dim": 128,
@@ -50,13 +49,11 @@
   "num_key_value_heads": 8,
   "pad_token_id": 151643,
   "rms_norm_eps": 1e-06,
-  "rope_parameters": {
-    "rope_theta": 1000000,
-    "rope_type": "default"
-  },
   "sliding_window": null,
   "tie_word_embeddings": true,
-  "transformers_version": "5.4.0",
   "use_cache": true,
   "use_sliding_window": false,
   "vocab_size": 151936

   ],
   "attention_bias": false,
   "attention_dropout": 0.0,
   "dtype": "bfloat16",
   "eos_token_id": 151645,
   "head_dim": 128,
   "num_key_value_heads": 8,
   "pad_token_id": 151643,
   "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000,
   "sliding_window": null,
   "tie_word_embeddings": true,
+  "transformers_version": "4.57.6",
   "use_cache": true,
   "use_sliding_window": false,
   "vocab_size": 151936

generation_config.json CHANGED Viewed

@@ -5,5 +5,5 @@
   ],
   "max_new_tokens": 2048,
   "pad_token_id": 151643,
-  "transformers_version": "5.4.0"
 }

   ],
   "max_new_tokens": 2048,
   "pad_token_id": 151643,
+  "transformers_version": "4.57.6"
 }