Instructions to use pankajpandey-dev/qwen3.5-9b-hindi-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use pankajpandey-dev/qwen3.5-9b-hindi-instruct with Transformers:

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

pipe = pipeline("text-generation", model="pankajpandey-dev/qwen3.5-9b-hindi-instruct")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# Load model directly
from transformers import AutoProcessor, AutoModelForMultimodalLM

processor = AutoProcessor.from_pretrained("pankajpandey-dev/qwen3.5-9b-hindi-instruct")
model = AutoModelForMultimodalLM.from_pretrained("pankajpandey-dev/qwen3.5-9b-hindi-instruct", device_map="auto")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
inputs = processor.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(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use pankajpandey-dev/qwen3.5-9b-hindi-instruct with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "pankajpandey-dev/qwen3.5-9b-hindi-instruct"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "pankajpandey-dev/qwen3.5-9b-hindi-instruct",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/pankajpandey-dev/qwen3.5-9b-hindi-instruct

SGLang

How to use pankajpandey-dev/qwen3.5-9b-hindi-instruct 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 "pankajpandey-dev/qwen3.5-9b-hindi-instruct" \
    --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": "pankajpandey-dev/qwen3.5-9b-hindi-instruct",
		"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 "pankajpandey-dev/qwen3.5-9b-hindi-instruct" \
        --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": "pankajpandey-dev/qwen3.5-9b-hindi-instruct",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Unsloth Desktop
Docker Model Runner
How to use pankajpandey-dev/qwen3.5-9b-hindi-instruct with Docker Model Runner:
```
docker model run hf.co/pankajpandey-dev/qwen3.5-9b-hindi-instruct
```

pankajpandey-dev commited on Jul 4

Commit

ea802c4

verified ·

1 Parent(s): 3a11eb4

Upload generation_config.json with huggingface_hub

Browse files

Files changed (1) hide show

generation_config.json +5 -2

generation_config.json CHANGED Viewed

@@ -6,5 +6,8 @@
   ],
   "pad_token_id": 248055,
   "transformers_version": "5.5.0",
-  "use_cache": true
-}

   ],
   "pad_token_id": 248055,
   "transformers_version": "5.5.0",
+  "use_cache": true,
+  "repetition_penalty": 1.1,
+  "no_repeat_ngram_size": 6,
+  "max_new_tokens": 512
+}