Instructions to use theNovaAI/Supernova-experimental with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use theNovaAI/Supernova-experimental with Transformers:

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

pipe = pipeline("text-generation", model="theNovaAI/Supernova-experimental")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("theNovaAI/Supernova-experimental")
model = AutoModelForCausalLM.from_pretrained("theNovaAI/Supernova-experimental", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use theNovaAI/Supernova-experimental with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "theNovaAI/Supernova-experimental"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "theNovaAI/Supernova-experimental",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/theNovaAI/Supernova-experimental

SGLang

How to use theNovaAI/Supernova-experimental 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 "theNovaAI/Supernova-experimental" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "theNovaAI/Supernova-experimental",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

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 "theNovaAI/Supernova-experimental" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "theNovaAI/Supernova-experimental",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use theNovaAI/Supernova-experimental with Docker Model Runner:
```
docker model run hf.co/theNovaAI/Supernova-experimental
```

Supernova-experimental / README.md

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---
language:
- en
license: cc-by-nc-sa-4.0
library_name: transformers
tags:
- mergekit
- merge
base_model:
- PygmalionAI/pygmalion-2-13b
- Undi95/Amethyst-13B
inference: false
model-index:
- name: Supernova-experimental
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: AI2 Reasoning Challenge (25-Shot)
      type: ai2_arc
      config: ARC-Challenge
      split: test
      args:
        num_few_shot: 25
    metrics:
    - type: acc_norm
      value: 63.05
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=theNovaAI/Supernova-experimental
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: HellaSwag (10-Shot)
      type: hellaswag
      split: validation
      args:
        num_few_shot: 10
    metrics:
    - type: acc_norm
      value: 83.66
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=theNovaAI/Supernova-experimental
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU (5-Shot)
      type: cais/mmlu
      config: all
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 56.59
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=theNovaAI/Supernova-experimental
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: TruthfulQA (0-shot)
      type: truthful_qa
      config: multiple_choice
      split: validation
      args:
        num_few_shot: 0
    metrics:
    - type: mc2
      value: 49.37
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=theNovaAI/Supernova-experimental
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: Winogrande (5-shot)
      type: winogrande
      config: winogrande_xl
      split: validation
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 77.35
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=theNovaAI/Supernova-experimental
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GSM8k (5-shot)
      type: gsm8k
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 28.73
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=theNovaAI/Supernova-experimental
      name: Open LLM Leaderboard
---
## Supernova-experimental
This is an experimental model that was created for the development of NovaAI.

Good at chatting and some RP.

Quantized model here: [theNovaAI/Supernova-experimental-GPTQ](https://huggingface.co/theNovaAI/Supernova-experimental-GPTQ)

## Prompt Template: Alpaca

```
Below is an instruction that describes a task. Write a response that appropriately completes the request.
### Instruction:
{prompt}
### Response:
```

### Models Merged

The following models were included in the merge:
* [PygmalionAI/pygmalion-2-13b](https://huggingface.co/PygmalionAI/pygmalion-2-13b)
* [Undi95/Amethyst-13B](https://huggingface.co/Undi95/Amethyst-13B)
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_theNovaAI__Supernova-experimental)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |59.79|
|AI2 Reasoning Challenge (25-Shot)|63.05|
|HellaSwag (10-Shot)              |83.66|
|MMLU (5-Shot)                    |56.59|
|TruthfulQA (0-shot)              |49.37|
|Winogrande (5-shot)              |77.35|
|GSM8k (5-shot)                   |28.73|

	---
	language:
	- en
	license: cc-by-nc-sa-4.0
	library_name: transformers
	tags:
	- mergekit
	- merge
	base_model:
	- PygmalionAI/pygmalion-2-13b
	- Undi95/Amethyst-13B
	inference: false
	model-index:
	- name: Supernova-experimental
	results:
	- task:
	type: text-generation
	name: Text Generation
	dataset:
	name: AI2 Reasoning Challenge (25-Shot)
	type: ai2_arc
	config: ARC-Challenge
	split: test
	args:
	num_few_shot: 25
	metrics:
	- type: acc_norm
	value: 63.05
	name: normalized accuracy
	source:
	url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=theNovaAI/Supernova-experimental
	name: Open LLM Leaderboard
	- task:
	type: text-generation
	name: Text Generation
	dataset:
	name: HellaSwag (10-Shot)
	type: hellaswag
	split: validation
	args:
	num_few_shot: 10
	metrics:
	- type: acc_norm
	value: 83.66
	name: normalized accuracy
	source:
	url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=theNovaAI/Supernova-experimental
	name: Open LLM Leaderboard
	- task:
	type: text-generation
	name: Text Generation
	dataset:
	name: MMLU (5-Shot)
	type: cais/mmlu
	config: all
	split: test
	args:
	num_few_shot: 5
	metrics:
	- type: acc
	value: 56.59
	name: accuracy
	source:
	url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=theNovaAI/Supernova-experimental
	name: Open LLM Leaderboard
	- task:
	type: text-generation
	name: Text Generation
	dataset:
	name: TruthfulQA (0-shot)
	type: truthful_qa
	config: multiple_choice
	split: validation
	args:
	num_few_shot: 0
	metrics:
	- type: mc2
	value: 49.37
	source:
	url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=theNovaAI/Supernova-experimental
	name: Open LLM Leaderboard
	- task:
	type: text-generation
	name: Text Generation
	dataset:
	name: Winogrande (5-shot)
	type: winogrande
	config: winogrande_xl
	split: validation
	args:
	num_few_shot: 5
	metrics:
	- type: acc
	value: 77.35
	name: accuracy
	source:
	url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=theNovaAI/Supernova-experimental
	name: Open LLM Leaderboard
	- task:
	type: text-generation
	name: Text Generation
	dataset:
	name: GSM8k (5-shot)
	type: gsm8k
	config: main
	split: test
	args:
	num_few_shot: 5
	metrics:
	- type: acc
	value: 28.73
	name: accuracy
	source:
	url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=theNovaAI/Supernova-experimental
	name: Open LLM Leaderboard
	---
	## Supernova-experimental
	This is an experimental model that was created for the development of NovaAI.

	Good at chatting and some RP.

	Quantized model here: [theNovaAI/Supernova-experimental-GPTQ](https://huggingface.co/theNovaAI/Supernova-experimental-GPTQ)

	## Prompt Template: Alpaca

	```
	Below is an instruction that describes a task. Write a response that appropriately completes the request.

	### Instruction:
	{prompt}

	### Response:
	```

	### Models Merged

	The following models were included in the merge:
	* [PygmalionAI/pygmalion-2-13b](https://huggingface.co/PygmalionAI/pygmalion-2-13b)
	* [Undi95/Amethyst-13B](https://huggingface.co/Undi95/Amethyst-13B)
	# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
	Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_theNovaAI__Supernova-experimental)

	\| Metric \|Value\|
	\|---------------------------------\|----:\|
	\|Avg. \|59.79\|
	\|AI2 Reasoning Challenge (25-Shot)\|63.05\|
	\|HellaSwag (10-Shot) \|83.66\|
	\|MMLU (5-Shot) \|56.59\|
	\|TruthfulQA (0-shot) \|49.37\|
	\|Winogrande (5-shot) \|77.35\|
	\|GSM8k (5-shot) \|28.73\|