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

File size: 2,420 Bytes

---
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
```