Instructions to use aymanbakiri/MNLP_M2_mcqa_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use aymanbakiri/MNLP_M2_mcqa_model with Transformers:

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

pipe = pipeline("text-generation", model="aymanbakiri/MNLP_M2_mcqa_model")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("aymanbakiri/MNLP_M2_mcqa_model")
model = AutoModelForCausalLM.from_pretrained("aymanbakiri/MNLP_M2_mcqa_model")
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 aymanbakiri/MNLP_M2_mcqa_model with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "aymanbakiri/MNLP_M2_mcqa_model"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "aymanbakiri/MNLP_M2_mcqa_model",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/aymanbakiri/MNLP_M2_mcqa_model

SGLang

How to use aymanbakiri/MNLP_M2_mcqa_model 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 "aymanbakiri/MNLP_M2_mcqa_model" \
    --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": "aymanbakiri/MNLP_M2_mcqa_model",
		"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 "aymanbakiri/MNLP_M2_mcqa_model" \
        --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": "aymanbakiri/MNLP_M2_mcqa_model",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use aymanbakiri/MNLP_M2_mcqa_model with Docker Model Runner:
```
docker model run hf.co/aymanbakiri/MNLP_M2_mcqa_model
```

MNLP_M2_mcqa_model

Commit History

Upload 10 files

8a9edba
verified

aymanbakiri commited on May 28, 2025

📦 upload full final_model directory

073e277
verified

aymanbakiri commited on May 28, 2025

Upload Qwen3ForCausalLM

76d099e
verified

aymanbakiri commited on May 28, 2025

Upload Qwen3ForCausalLM

9b93fd8
verified

aymanbakiri commited on May 25, 2025

Upload Qwen3ForCausalLM

e376e18
verified

aymanbakiri commited on May 25, 2025

Upload tokenizer

8e5985d
verified

aymanbakiri commited on May 25, 2025

Upload Qwen3ForCausalLM

474c254
verified

aymanbakiri commited on May 25, 2025

Initial minimal MCQA model checkpoint

e195ace

Ayman commited on May 25, 2025

Commit History

Upload 10 files 8a9edba verified

📦 upload full final_model directory 073e277 verified

Upload Qwen3ForCausalLM 76d099e verified

Upload Qwen3ForCausalLM 9b93fd8 verified

Upload Qwen3ForCausalLM e376e18 verified

Upload tokenizer 8e5985d verified

Upload Qwen3ForCausalLM 474c254 verified

Initial minimal MCQA model checkpoint e195ace

Upload 10 files

8a9edba
verified

📦 upload full final_model directory

073e277
verified

Upload Qwen3ForCausalLM

76d099e
verified

Upload Qwen3ForCausalLM

9b93fd8
verified

Upload Qwen3ForCausalLM

e376e18
verified

Upload tokenizer

8e5985d
verified

Upload Qwen3ForCausalLM

474c254
verified

Initial minimal MCQA model checkpoint

e195ace