Instructions to use LyraNovaHeart/Stellar-Odyssey-12b-Adventure-v0.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use LyraNovaHeart/Stellar-Odyssey-12b-Adventure-v0.0 with Transformers:

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

pipe = pipeline("text-generation", model="LyraNovaHeart/Stellar-Odyssey-12b-Adventure-v0.0")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("LyraNovaHeart/Stellar-Odyssey-12b-Adventure-v0.0")
model = AutoModelForCausalLM.from_pretrained("LyraNovaHeart/Stellar-Odyssey-12b-Adventure-v0.0")
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

vLLM

How to use LyraNovaHeart/Stellar-Odyssey-12b-Adventure-v0.0 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "LyraNovaHeart/Stellar-Odyssey-12b-Adventure-v0.0"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "LyraNovaHeart/Stellar-Odyssey-12b-Adventure-v0.0",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/LyraNovaHeart/Stellar-Odyssey-12b-Adventure-v0.0

SGLang

How to use LyraNovaHeart/Stellar-Odyssey-12b-Adventure-v0.0 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 "LyraNovaHeart/Stellar-Odyssey-12b-Adventure-v0.0" \
    --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": "LyraNovaHeart/Stellar-Odyssey-12b-Adventure-v0.0",
		"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 "LyraNovaHeart/Stellar-Odyssey-12b-Adventure-v0.0" \
        --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": "LyraNovaHeart/Stellar-Odyssey-12b-Adventure-v0.0",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use LyraNovaHeart/Stellar-Odyssey-12b-Adventure-v0.0 with Docker Model Runner:
```
docker model run hf.co/LyraNovaHeart/Stellar-Odyssey-12b-Adventure-v0.0
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

Stellar Odyssey 12b v0.0

Join my dream, it's just the right time, whoa... Leave it all behind... Get ready now... Riise up into my world~

Listen to the song on youtube: https://www.youtube.com/watch?v=npyiiInMA0w

Soo... after I failed the first time, I took a crack at merging again. This time, these models were used

mistralai/Mistral-Nemo-Base-2407 Sao10K/MN-12B-Lyra-v4 nothingiisreal/MN-12B-Starcannon-v2 Gryphe/Pantheon-RP-1.5-12b-Nemo

License for this model is: cc-by-nc-4.0

TO CLEAR SOME CONFUSION: Please use ChatML ~~I hope this was worth the time I spent to create this merge, lol~~

Gated access for now, gated access will be disabled when testing is done, and thanks to all who have interest.

Thank you to AuriAetherwiing for helping me merge the models.

Details

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the della_linear merge method using C:\Users\lg911\Downloads\Mergekit-Fixed\mergekit\mistralai_Mistral-Nemo-Base-2407 as a base.

Models Merged

The following models were included in the merge:

C:\Users\lg911\Downloads\Mergekit-Fixed\mergekit\Sao10K_MN-12B-Lyra-v4
C:\Users\lg911\Downloads\Mergekit-Fixed\mergekit\Gryphe_Pantheon-RP-1.5-12b-Nemo
C:\Users\lg911\Downloads\Mergekit-Fixed\mergekit\nothingiisreal_MN-12B-Starcannon-v2

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: C:\Users\\Downloads\Mergekit-Fixed\mergekit\Sao10K_MN-12B-Lyra-v4
    parameters:
      weight: 0.3
      density: 0.25
  - model: C:\Users\\Downloads\Mergekit-Fixed\mergekit\nothingiisreal_MN-12B-Starcannon-v2
    parameters:
      weight: 0.1
      density: 0.4
  - model: C:\Users\\Downloads\Mergekit-Fixed\mergekit\Gryphe_Pantheon-RP-1.5-12b-Nemo
    parameters:
      weight: 0.4
      density: 0.5
merge_method: della_linear
base_model: C:\Users\\Downloads\Mergekit-Fixed\mergekit\mistralai_Mistral-Nemo-Base-2407
parameters:
  epsilon: 0.05
  lambda: 1
merge_method: della_linear
dtype: bfloat16

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Safetensors

Model size

12B params

Tensor type

F16

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Quantizations

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Collection including LyraNovaHeart/Stellar-Odyssey-12b-Adventure-v0.0

Stellar Model Series

Collection

A Series of merges created by me in my spare time. • 6 items • Updated Dec 19, 2024 • 2