Instructions to use cs-552-2026-catma/general_knowledge_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use cs-552-2026-catma/general_knowledge_model with Transformers:

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

pipe = pipeline("text-generation", model="cs-552-2026-catma/general_knowledge_model")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("cs-552-2026-catma/general_knowledge_model")
model = AutoModelForCausalLM.from_pretrained("cs-552-2026-catma/general_knowledge_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 cs-552-2026-catma/general_knowledge_model with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "cs-552-2026-catma/general_knowledge_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": "cs-552-2026-catma/general_knowledge_model",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/cs-552-2026-catma/general_knowledge_model

SGLang

How to use cs-552-2026-catma/general_knowledge_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 "cs-552-2026-catma/general_knowledge_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": "cs-552-2026-catma/general_knowledge_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 "cs-552-2026-catma/general_knowledge_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": "cs-552-2026-catma/general_knowledge_model",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use cs-552-2026-catma/general_knowledge_model with Docker Model Runner:
```
docker model run hf.co/cs-552-2026-catma/general_knowledge_model
```

general_knowledge_model

Commit History

Update Automated MNLP evaluation report (2026-05-19)

bf5dc2b
verified

zechen-nlp commited on May 19

Automated MNLP evaluation report (2026-05-18)

1113e2b
verified

zechen-nlp commited on May 18

Upload hard CI r64 checkpoint 800

b4f02c5
verified

mariem38 commited on May 17

Automated MNLP evaluation report (2026-05-17) (#4)

27d4195

TuanNguyen2003

zechen-nlp commited on May 17

Remove backup chat template file

c571073
verified

mariem38 commited on May 16

Patch chat template with boxed-answer fallback system prompt

c9c0e8e
verified

mariem38 commited on May 16

Automated MNLP evaluation report (2026-05-16) (#3)

c482908

mariem38

zechen-nlp commited on May 16

Automated MNLP evaluation report (2026-05-13) (#2)

41bb2c9

TuanNguyen2003

zechen-nlp commited on May 14

Upload mixed long SFT checkpoint 1750

726d851
verified

TuanNguyen2003 commited on May 13

Automated MNLP evaluation report (2026-05-13) (#1)

9fd20c9

TuanNguyen2003

zechen-nlp commited on May 13

Create README.md

515e131
verified

TuanNguyen2003 commited on May 12

Upload medium SFT general knowledge checkpoint

907e87b
verified

TuanNguyen2003 commited on May 12

initial commit

7a298d6
verified

cristiano-masutti commited on May 11

Commit History

Update Automated MNLP evaluation report (2026-05-19) bf5dc2b verified

Automated MNLP evaluation report (2026-05-18) 1113e2b verified

Upload hard CI r64 checkpoint 800 b4f02c5 verified

Automated MNLP evaluation report (2026-05-17) (#4) 27d4195

Remove backup chat template file c571073 verified

Patch chat template with boxed-answer fallback system prompt c9c0e8e verified

Automated MNLP evaluation report (2026-05-16) (#3) c482908

Automated MNLP evaluation report (2026-05-13) (#2) 41bb2c9

Upload mixed long SFT checkpoint 1750 726d851 verified

Automated MNLP evaluation report (2026-05-13) (#1) 9fd20c9

Create README.md 515e131 verified

Upload medium SFT general knowledge checkpoint 907e87b verified

initial commit 7a298d6 verified

Update Automated MNLP evaluation report (2026-05-19)

bf5dc2b
verified

Automated MNLP evaluation report (2026-05-18)

1113e2b
verified

Upload hard CI r64 checkpoint 800

b4f02c5
verified

Automated MNLP evaluation report (2026-05-17) (#4)

27d4195

Remove backup chat template file

c571073
verified

Patch chat template with boxed-answer fallback system prompt

c9c0e8e
verified

Automated MNLP evaluation report (2026-05-16) (#3)

c482908

Automated MNLP evaluation report (2026-05-13) (#2)

41bb2c9

Upload mixed long SFT checkpoint 1750

726d851
verified

Automated MNLP evaluation report (2026-05-13) (#1)

9fd20c9

Create README.md

515e131
verified

Upload medium SFT general knowledge checkpoint

907e87b
verified

initial commit

7a298d6
verified