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

Automated MNLP evaluation report (2026-05-20)

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Automated MNLP evaluation report (2026-05-19) (#5)

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TuanNguyen2003

zechen-nlp commited on May 19

Upload hard CI r64 checkpoint 800

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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
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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
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TuanNguyen2003 commited on May 12

initial commit

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cristiano-masutti commited on May 11

Commit History

Automated MNLP evaluation report (2026-05-20) 1d6ea68 verified

Upload big hard weighted CI r128 checkpoint 4400 d042f58 verified

Automated MNLP evaluation report (2026-05-19) (#5) 47c82d8

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

Automated MNLP evaluation report (2026-05-20)

1d6ea68
verified

Upload big hard weighted CI r128 checkpoint 4400

d042f58
verified

Automated MNLP evaluation report (2026-05-19) (#5)

47c82d8

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