Instructions to use Naphula/SpaceBound-24B-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Naphula/SpaceBound-24B-v1 with Transformers:

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

pipe = pipeline("text-generation", model="Naphula/SpaceBound-24B-v1")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Naphula/SpaceBound-24B-v1")
model = AutoModelForCausalLM.from_pretrained("Naphula/SpaceBound-24B-v1")
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]:]))

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Naphula/SpaceBound-24B-v1 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Naphula/SpaceBound-24B-v1"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Naphula/SpaceBound-24B-v1",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Naphula/SpaceBound-24B-v1

SGLang

How to use Naphula/SpaceBound-24B-v1 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 "Naphula/SpaceBound-24B-v1" \
    --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": "Naphula/SpaceBound-24B-v1",
		"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 "Naphula/SpaceBound-24B-v1" \
        --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": "Naphula/SpaceBound-24B-v1",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Naphula/SpaceBound-24B-v1 with Docker Model Runner:
```
docker model run hf.co/Naphula/SpaceBound-24B-v1
```

SpaceBound-24B-v1 / chat_template.jinja

Naphula

Upload 6 files

b6ba0e5 verified 5 months ago

raw

history blame contribute delete

2.72 kB

	{%- set today = strftime_now("%Y-%m-%d") %}
	{%- set default_system_message = "You are Mistral Small 3, a Large Language Model (LLM) created by Mistral AI, a French startup headquartered in Paris.\nYour knowledge base was last updated on 2023-10-01. The current date is " + today + ".\n\nWhen you're not sure about some information, you say that you don't have the information and don't make up anything.\nIf the user's question is not clear, ambiguous, or does not provide enough context for you to accurately answer the question, you do not try to answer it right away and you rather ask the user to clarify their request (e.g. \"What are some good restaurants around me?\" => \"Where are you?\" or \"When is the next flight to Tokyo\" => \"Where do you travel from?\")" %}

	{{- bos_token }}

	{%- if messages[0]['role'] == 'system' %}
	{%- if messages[0]['content'] is string %}
	{%- set system_message = messages[0]['content'] %}
	{%- else %}
	{%- set system_message = messages[0]['content'][0]['text'] %}
	{%- endif %}
	{%- set loop_messages = messages[1:] %}
	{%- else %}
	{%- set system_message = default_system_message %}
	{%- set loop_messages = messages %}
	{%- endif %}
	{{- '[SYSTEM_PROMPT]' + system_message + '[/SYSTEM_PROMPT]' }}

	{%- for message in loop_messages %}
	{%- if message['role'] == 'user' %}
	{%- if message['content'] is string %}
	{{- '[INST]' + message['content'] + '[/INST]' }}
	{%- else %}
	{{- '[INST]' }}
	{%- for block in message['content'] %}
	{%- if block['type'] == 'text' %}
	{{- block['text'] }}
	{%- elif block['type'] in ['image', 'image_url'] %}
	{{- '[IMG]' }}
	{%- else %}
	{{- raise_exception('Only text and image blocks are supported in message content!') }}
	{%- endif %}
	{%- endfor %}
	{{- '[/INST]' }}
	{%- endif %}
	{%- elif message['role'] == 'system' %}
	{%- if message['content'] is string %}
	{{- '[SYSTEM_PROMPT]' + message['content'] + '[/SYSTEM_PROMPT]' }}
	{%- else %}
	{{- '[SYSTEM_PROMPT]' + message['content'][0]['text'] + '[/SYSTEM_PROMPT]' }}
	{%- endif %}
	{%- elif message['role'] == 'assistant' %}
	{%- if message['content'] is string %}
	{{- message['content'] + eos_token }}
	{%- else %}
	{{- message['content'][0]['text'] + eos_token }}
	{%- endif %}
	{%- else %}
	{{- raise_exception('Only user, system and assistant roles are supported!') }}
	{%- endif %}
	{%- endfor %}