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

Libraries

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

Use Docker

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

SGLang

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

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

Salma204 commited on about 4 hours ago

Commit

c429f1e

verified ·

1 Parent(s): d7e7165

M3: GK SFT v3 fixed format + 99K MMLU examples

Browse files

Files changed (4) hide show

chat_template.jinja +0 -1
config.json +3 -3
generation_config.json +5 -9
model.safetensors +1 -1

chat_template.jinja CHANGED Viewed

@@ -1,5 +1,4 @@
 {%- set enable_thinking = true %}
-{%- set enable_thinking = false %}
 {%- if tools %}
     {{- '<|im_start|>system\n' }}
     {%- if messages[0].role == 'system' %}

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

config.json CHANGED Viewed

@@ -4,7 +4,7 @@
   ],
   "attention_bias": false,
   "attention_dropout": 0.0,
-  "bos_token_id": null,
   "dtype": "bfloat16",
   "eos_token_id": 151645,
   "head_dim": 128,
@@ -48,7 +48,7 @@
   "num_attention_heads": 16,
   "num_hidden_layers": 28,
   "num_key_value_heads": 8,
-  "pad_token_id": 151643,
   "rms_norm_eps": 1e-06,
   "rope_parameters": {
     "rope_theta": 1000000,
@@ -57,7 +57,7 @@
   "sliding_window": null,
   "tie_word_embeddings": true,
   "transformers_version": "5.7.0",
-  "use_cache": false,
   "use_sliding_window": false,
   "vocab_size": 151936
 }

   ],
   "attention_bias": false,
   "attention_dropout": 0.0,
+  "bos_token_id": 151643,
   "dtype": "bfloat16",
   "eos_token_id": 151645,
   "head_dim": 128,
   "num_attention_heads": 16,
   "num_hidden_layers": 28,
   "num_key_value_heads": 8,
+  "pad_token_id": null,
   "rms_norm_eps": 1e-06,
   "rope_parameters": {
     "rope_theta": 1000000,
   "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

@@ -1,13 +1,9 @@
 {
-  "bos_token_id": 151643,
   "do_sample": true,
-  "eos_token_id": [
-    151645,
-    151643
-  ],
-  "pad_token_id": 151643,
-  "temperature": 0.6,
-  "top_k": 20,
   "top_p": 0.9,
-  "transformers_version": "4.51.0"
 }

 {
   "do_sample": true,
+  "temperature": 0.4,
   "top_p": 0.9,
+  "top_k": 20,
+  "max_new_tokens": 96,
+  "pad_token_id": 151643,
+  "eos_token_id": 151645
 }

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