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

Libraries

How to use cs-552-2026-flab/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-flab/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-flab/general_knowledge_model")
model = AutoModelForCausalLM.from_pretrained("cs-552-2026-flab/general_knowledge_model", 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=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-flab/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-flab/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-flab/general_knowledge_model",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

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

SGLang

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

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

general_knowledge_model / chat_template.jinja

Commit History

Use the group_model safety chat template

a57405f
verified

amir-ammar commited on Jun 10

Restore chat_template.jinja to commit 6bc2deb

9d44fd4
verified

amir-ammar commited on Jun 10

Switch chat_template to the conservative group prompt (Knowledge CI 0.45 -> 0.51; identical weights to group_model)

b087c9c
verified

amir-ammar commited on Jun 10

Knowledge-v2 chat_template (structurally identical to safety teams winning 0.81 template; 3 worked examples baked into system msg)

a8c481f
verified

amir-ammar commited on Jun 9

Adaptive chat_template (head-to-head +0.092 vs old on clean Qs)

6bc2deb
verified

amir-ammar commited on Jun 6

Revert chat_template.jinja to the commit 8ae4d06 version (the 0.44-CI template)

b121d05
verified

amir-ammar commited on Jun 5

Adaptive chat_template: bake boxed-LETTER instruction as system msg (no weight change)

cab6a97
verified

amir-ammar commited on Jun 5

Restore sft-bare 30 pct CI baseline

8ae4d06
verified

amir-ammar commited on Jun 1

base Qwen3-1.7B with chat_template.txt baked (no SFT, no RLVR baseline)

7447838
verified

amir-ammar commited on May 30

flab general_knowledge/sft 20260519_111857

3d3b7cd
verified

amir-ammar commited on May 19

flab general_knowledge/sft 20260518_214917

b8c1ebb
verified

amir-ammar commited on May 18

flab general_knowledge/sft 20260517_151047

480271d
verified

amir-ammar commited on May 17

flab general_knowledge/sft 20260513_173326

1ad2001
verified

amir-ammar commited on May 13

Commit History

Use the group_model safety chat template a57405f verified

Restore chat_template.jinja to commit 6bc2deb 9d44fd4 verified

Switch chat_template to the conservative group prompt (Knowledge CI 0.45 -> 0.51; identical weights to group_model) b087c9c verified

Knowledge-v2 chat_template (structurally identical to safety teams winning 0.81 template; 3 worked examples baked into system msg) a8c481f verified

Adaptive chat_template (head-to-head +0.092 vs old on clean Qs) 6bc2deb verified

Revert chat_template.jinja to the commit 8ae4d06 version (the 0.44-CI template) b121d05 verified

Adaptive chat_template: bake boxed-LETTER instruction as system msg (no weight change) cab6a97 verified

Restore sft-bare 30 pct CI baseline 8ae4d06 verified

base Qwen3-1.7B with chat_template.txt baked (no SFT, no RLVR baseline) 7447838 verified

flab general_knowledge/sft 20260519_111857 3d3b7cd verified

flab general_knowledge/sft 20260518_214917 b8c1ebb verified

flab general_knowledge/sft 20260517_151047 480271d verified

flab general_knowledge/sft 20260513_173326 1ad2001 verified

Use the group_model safety chat template

a57405f
verified

Restore chat_template.jinja to commit 6bc2deb

9d44fd4
verified

Switch chat_template to the conservative group prompt (Knowledge CI 0.45 -> 0.51; identical weights to group_model)

b087c9c
verified

Knowledge-v2 chat_template (structurally identical to safety teams winning 0.81 template; 3 worked examples baked into system msg)

a8c481f
verified

Adaptive chat_template (head-to-head +0.092 vs old on clean Qs)

6bc2deb
verified

Revert chat_template.jinja to the commit 8ae4d06 version (the 0.44-CI template)

b121d05
verified

Adaptive chat_template: bake boxed-LETTER instruction as system msg (no weight change)

cab6a97
verified

Restore sft-bare 30 pct CI baseline

8ae4d06
verified

base Qwen3-1.7B with chat_template.txt baked (no SFT, no RLVR baseline)

7447838
verified

flab general_knowledge/sft 20260519_111857

3d3b7cd
verified

flab general_knowledge/sft 20260518_214917

b8c1ebb
verified

flab general_knowledge/sft 20260517_151047

480271d
verified

flab general_knowledge/sft 20260513_173326

1ad2001
verified