Instructions to use 0labs-in/V1.3-CSD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use 0labs-in/V1.3-CSD with Transformers:

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

pipe = pipeline("text-generation", model="0labs-in/V1.3-CSD", trust_remote_code=True)
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("0labs-in/V1.3-CSD", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use 0labs-in/V1.3-CSD with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "0labs-in/V1.3-CSD"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "0labs-in/V1.3-CSD",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/0labs-in/V1.3-CSD

SGLang

How to use 0labs-in/V1.3-CSD 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 "0labs-in/V1.3-CSD" \
    --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": "0labs-in/V1.3-CSD",
		"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 "0labs-in/V1.3-CSD" \
        --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": "0labs-in/V1.3-CSD",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use 0labs-in/V1.3-CSD with Docker Model Runner:
```
docker model run hf.co/0labs-in/V1.3-CSD
```

V1.3-CSD / tokenizer_config.json

Atharvsinh

Upload Sky v1.3 CSD checkpoint

7b713b4 verified 26 days ago

raw

history blame contribute delete

3.42 kB

	{
	"add_prefix_space": false,
	"added_tokens_decoder": {
	"199999": {
	"content": "<\|endoftext\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"200010": {
	"content": "<\|endoftext10\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"200011": {
	"content": "<\|endoftext11\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"200018": {
	"content": "<\|endofprompt\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"200019": {
	"content": "<\|assistant\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": true,
	"single_word": false,
	"special": true
	},
	"200020": {
	"content": "<\|end\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": true,
	"single_word": false,
	"special": true
	},
	"200021": {
	"content": "<\|user\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": true,
	"single_word": false,
	"special": true
	},
	"200022": {
	"content": "<\|system\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": true,
	"single_word": false,
	"special": true
	},
	"200023": {
	"content": "<\|tool\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": true,
	"single_word": false,
	"special": false
	},
	"200024": {
	"content": "<\|/tool\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": true,
	"single_word": false,
	"special": false
	},
	"200025": {
	"content": "<\|tool_call\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": true,
	"single_word": false,
	"special": false
	},
	"200026": {
	"content": "<\|/tool_call\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": true,
	"single_word": false,
	"special": false
	},
	"200027": {
	"content": "<\|tool_response\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": true,
	"single_word": false,
	"special": false
	},
	"200028": {
	"content": "<\|tag\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": true,
	"single_word": false,
	"special": true
	}
	},
	"bos_token": "<\|endoftext\|>",
	"chat_template": "{% for message in messages %}{% if message['role'] == 'system' and 'tools' in message and message['tools'] is not none %}{{ '<\|' + message['role'] + '\|>' + message['content'] + '<\|tool\|>' + message['tools'] + '<\|/tool\|>' + '<\|end\|>' }}{% else %}{{ '<\|' + message['role'] + '\|>' + message['content'] + '<\|end\|>' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<\|assistant\|>' }}{% else %}{{ eos_token }}{% endif %}",
	"clean_up_tokenization_spaces": false,
	"eos_token": "<\|endoftext\|>",
	"extra_special_tokens": {},
	"max_length": 2048,
	"model_max_length": 131072,
	"pad_token": "<\|endoftext\|>",
	"processor_class": "SkyProcessor",
	"stride": 0,
	"tokenizer_class": "GPT2Tokenizer",
	"truncation_side": "right",
	"truncation_strategy": "longest_first",
	"unk_token": "<\|endoftext\|>"
	}