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

Libraries

How to use alibidaran/Qwen_COG_Thinker_Merged with Transformers:

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

pipe = pipeline("text-generation", model="alibidaran/Qwen_COG_Thinker_Merged")
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("alibidaran/Qwen_COG_Thinker_Merged")
model = AutoModelForCausalLM.from_pretrained("alibidaran/Qwen_COG_Thinker_Merged", 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 alibidaran/Qwen_COG_Thinker_Merged with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/alibidaran/Qwen_COG_Thinker_Merged

SGLang

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

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

alibidaran commited on Apr 7

Commit

a2e852d

verified ·

1 Parent(s): c951214

(Trained with Unsloth)

Browse files

Files changed (2) hide show

config.json +2 -2
tokenizer_config.json +1 -1

config.json CHANGED Viewed

@@ -49,7 +49,7 @@
     ],
     "max_position_embeddings": 32768,
     "max_window_layers": 70,
-    "model_name": "unsloth/qwen2.5-3b-instruct-unsloth-bnb-4bit",
     "model_type": "qwen2",
     "num_attention_heads": 16,
     "num_hidden_layers": 36,
@@ -61,7 +61,7 @@
     "sliding_window": null,
     "tie_word_embeddings": true,
     "unsloth_fixed": true,
-    "unsloth_version": "2026.3.17",
     "use_cache": true,
     "use_sliding_window": false,
     "vocab_size": 151936

     ],
     "max_position_embeddings": 32768,
     "max_window_layers": 70,
+    "model_name": "unsloth/Qwen2.5-3B-Instruct-bnb-4bit",
     "model_type": "qwen2",
     "num_attention_heads": 16,
     "num_hidden_layers": 36,
     "sliding_window": null,
     "tie_word_embeddings": true,
     "unsloth_fixed": true,
+    "unsloth_version": "2026.4.4",
     "use_cache": true,
     "use_sliding_window": false,
     "vocab_size": 151936

tokenizer_config.json CHANGED Viewed

@@ -209,7 +209,7 @@
   "extra_special_tokens": {},
   "model_max_length": 32768,
   "pad_token": "<|PAD_TOKEN|>",
-  "padding_side": "right",
   "split_special_tokens": false,
   "tokenizer_class": "Qwen2Tokenizer",
   "unk_token": null,

   "extra_special_tokens": {},
   "model_max_length": 32768,
   "pad_token": "<|PAD_TOKEN|>",
+  "padding_side": "left",
   "split_special_tokens": false,
   "tokenizer_class": "Qwen2Tokenizer",
   "unk_token": null,