Instructions to use FallenMerick/Bionic-Cetacean-20B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use FallenMerick/Bionic-Cetacean-20B with Transformers:

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

pipe = pipeline("text-generation", model="FallenMerick/Bionic-Cetacean-20B")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("FallenMerick/Bionic-Cetacean-20B")
model = AutoModelForCausalLM.from_pretrained("FallenMerick/Bionic-Cetacean-20B", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use FallenMerick/Bionic-Cetacean-20B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "FallenMerick/Bionic-Cetacean-20B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "FallenMerick/Bionic-Cetacean-20B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/FallenMerick/Bionic-Cetacean-20B

SGLang

How to use FallenMerick/Bionic-Cetacean-20B 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 "FallenMerick/Bionic-Cetacean-20B" \
    --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": "FallenMerick/Bionic-Cetacean-20B",
		"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 "FallenMerick/Bionic-Cetacean-20B" \
        --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": "FallenMerick/Bionic-Cetacean-20B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use FallenMerick/Bionic-Cetacean-20B with Docker Model Runner:
```
docker model run hf.co/FallenMerick/Bionic-Cetacean-20B
```

Bionic-Cetacean-20B / README.md

FallenMerick

Update README.md

95412b6 verified about 2 years ago

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	---
	license: cc-by-4.0
	language:
	- en
	base_model:
	- TeeZee/Orca-2-13b_flat
	- NeverSleep/X-NoroChronos-13B
	- NeverSleep/Noromaid-13b-v0.3
	- KatyTheCutie/EstopianMaid-13B
	- Undi95/MLewdBoros-L2-13B
	- KoboldAI/LLaMA2-13B-Psyfighter2
	- KoboldAI/LLaMA2-13B-Erebus-v3
	library_name: transformers
	tags:
	- storywriting
	- text adventure
	- creative
	- story
	- writing
	- fiction
	- roleplaying
	- rp
	- mergekit
	- merge

	---

	![pic](https://huggingface.co/FallenMerick/Bionic-Cetacean-20B/resolve/main/Bionic-Cetacean.jpg)

	# Bionic-Cetacean-20B

	In the same vein as the legendary [Psyonic-Cetacean-20B](https://huggingface.co/jebcarter/psyonic-cetacean-20B), I have attempted to create a 20B model that is equal parts creative and chaotic, while still remaining coherent enough for roleplaying purposes.
	</br>
	The three components used to create [Bionic-Vaquita-13B](https://huggingface.co/FallenMerick/Bionic-Vaquita-13B) were also used to create this stack.
	</br>
	Creativity and coherency were the primary focus of the late-stage manual testing that led to selecting this model.
	</br>
	</br>
	This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

	GGUF Quants:
	* https://huggingface.co/backyardai/Bionic-Cetacean-20B-GGUF
	* https://huggingface.co/mradermacher/Bionic-Cetacean-20B-GGUF
	* https://huggingface.co/mradermacher/Bionic-Cetacean-20B-i1-GGUF

	## Merge Details
	### Merge Method

	This model was merged using the passthrough merge method.

	### Models Merged

	The following models were included in the merge:
	* [FallenMerick/Psyfighter2-Orca2-Erebus3](https://huggingface.co/FallenMerick/Psyfighter2-Orca2-Erebus3-13B)
	* [FallenMerick/XNoroChronos-Orca2-Noromaid](https://huggingface.co/FallenMerick/XNoroChronos-Orca2-Noromaid-13B)
	* [FallenMerick/EstopianMaid-Orca2-MlewdBoros](https://huggingface.co/FallenMerick/EstopianMaid-Orca2-MlewdBoros-13B)

	### Configuration

	The following YAML configuration was used to produce this model:

	```yaml
	slices:
	- sources:
	- model: FallenMerick/Psyfighter2-Orca2-Erebus3
	layer_range: [0, 13]
	- sources:
	- model: FallenMerick/XNoroChronos-Orca2-Noromaid
	layer_range: [8, 26]
	- sources:
	- model: FallenMerick/EstopianMaid-Orca2-MlewdBoros
	layer_range: [14, 32]
	- sources:
	- model: FallenMerick/Psyfighter2-Orca2-Erebus3
	layer_range: [27, 40]
	merge_method: passthrough
	dtype: bfloat16
	```