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

Libraries

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

Use Docker

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

SGLang

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

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

OmarEl03 commited on Jun 1

Commit

cf73a7c

verified ·

1 Parent(s): 4e8847f

Backup: explanation SFT model, 12k examples

Browse files

Files changed (6) hide show

chat_template.jinja +0 -6
config.json +2 -2
generation_config.json +1 -1
model.safetensors +1 -1
tokenizer.json +2 -2
tokenizer_config.json +5 -1

chat_template.jinja CHANGED Viewed

@@ -1,9 +1,3 @@
-{# SUFFIX_ONLY_BOXED_HF_V1 #}
-{%- set enable_thinking = true %}
-{%- if messages[0].role != 'system' %}
-    {%- set messages = [{'role': 'system', 'content': 'Explain the answer briefly and compare the relevant choices when useful. End with exactly one final answer in the format \\boxed{LETTER}. The box must contain only the option letter.'}] + messages %}
-{%- endif %}
-{%- set enable_thinking = true %}
 {%- if tools %}
     {{- '<|im_start|>system\n' }}
     {%- if messages[0].role == 'system' %}

 {%- if tools %}
     {{- '<|im_start|>system\n' }}
     {%- if messages[0].role == 'system' %}

config.json CHANGED Viewed

@@ -56,8 +56,8 @@
   },
   "sliding_window": null,
   "tie_word_embeddings": true,
-  "transformers_version": "5.9.0",
-  "use_cache": false,
   "use_sliding_window": false,
   "vocab_size": 151936
 }

   },
   "sliding_window": null,
   "tie_word_embeddings": true,
+  "transformers_version": "5.7.0",
+  "use_cache": true,
   "use_sliding_window": false,
   "vocab_size": 151936
 }

generation_config.json CHANGED Viewed

@@ -3,5 +3,5 @@
   "eos_token_id": 151645,
   "max_new_tokens": 4096,
   "pad_token_id": 151643,
-  "transformers_version": "5.9.0"
 }

   "eos_token_id": 151645,
   "max_new_tokens": 4096,
   "pad_token_id": 151643,
+  "transformers_version": "5.7.0"
 }

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tokenizer.json CHANGED Viewed

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tokenizer_config.json CHANGED Viewed

@@ -20,11 +20,15 @@
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     "<|video_pad|>"
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   "tokenizer_class": "Qwen2Tokenizer",
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 }