Instructions to use whynlp/pccot-llama1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use whynlp/pccot-llama1b with Transformers:

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

pipe = pipeline("text-generation", model="whynlp/pccot-llama1b")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("whynlp/pccot-llama1b", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use whynlp/pccot-llama1b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "whynlp/pccot-llama1b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "whynlp/pccot-llama1b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/whynlp/pccot-llama1b

SGLang

How to use whynlp/pccot-llama1b 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 "whynlp/pccot-llama1b" \
    --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": "whynlp/pccot-llama1b",
		"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 "whynlp/pccot-llama1b" \
        --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": "whynlp/pccot-llama1b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use whynlp/pccot-llama1b with Docker Model Runner:
```
docker model run hf.co/whynlp/pccot-llama1b
```

whynlp commited on Mar 24

Commit

0252641

verified ·

1 Parent(s): a1be6e6

Upload config

Browse files

Files changed (1) hide show

pccot_args.json +15 -0

pccot_args.json ADDED Viewed

	@@ -0,0 +1,15 @@

+{
+    "bot_token_id": 128256,
+    "eot_token_id": 128257,
+    "latent_token_id": 128258,
+    "label_pad_token_id": -100,
+    "use_chat_template": false,
+    "answer_prompt": "The answer is:",
+    "num_latent_tokens": 24,
+    "use_peft": true,
+    "lora_r": 128,
+    "lora_alpha": 32,
+    "lora_dropout": 0.1,
+    "lora_target_modules": "q_proj-k_proj-v_proj-o_proj-down_proj-up_proj-gate_proj",
+    "lora_modules_to_save": ""
+}