Instructions to use pot99rta/PatriSlush-DarkLorablated-LongStock-12B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use pot99rta/PatriSlush-DarkLorablated-LongStock-12B with Transformers:

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

pipe = pipeline("text-generation", model="pot99rta/PatriSlush-DarkLorablated-LongStock-12B")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("pot99rta/PatriSlush-DarkLorablated-LongStock-12B")
model = AutoModelForCausalLM.from_pretrained("pot99rta/PatriSlush-DarkLorablated-LongStock-12B", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use pot99rta/PatriSlush-DarkLorablated-LongStock-12B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "pot99rta/PatriSlush-DarkLorablated-LongStock-12B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "pot99rta/PatriSlush-DarkLorablated-LongStock-12B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/pot99rta/PatriSlush-DarkLorablated-LongStock-12B

SGLang

How to use pot99rta/PatriSlush-DarkLorablated-LongStock-12B 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 "pot99rta/PatriSlush-DarkLorablated-LongStock-12B" \
    --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": "pot99rta/PatriSlush-DarkLorablated-LongStock-12B",
		"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 "pot99rta/PatriSlush-DarkLorablated-LongStock-12B" \
        --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": "pot99rta/PatriSlush-DarkLorablated-LongStock-12B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use pot99rta/PatriSlush-DarkLorablated-LongStock-12B with Docker Model Runner:
```
docker model run hf.co/pot99rta/PatriSlush-DarkLorablated-LongStock-12B
```

PatriSlush-DarkLorablated-LongStock-12B

File size: 2,041 Bytes

---
base_model:
- yamatazen/LorablatedStock-12B
- mergekit-community/Irix-12B_Slush
- pot99rta/Patricide-12B-Forgottenslop-Mell
- SuperbEmphasis/Omega-Darker_The-Final-Directive-Longform-Stage2-ERP-12B-v0.2
library_name: transformers
tags:
- mergekit
- merge

---
# PatriSlush-DarkLorablated-LongStock-12B

![image/png](https://cdn-uploads.huggingface.co/production/uploads/636ea389fd9751c3d081e88e/V0ogJjbVmHtl7VypKAk-9.png)

```Models Merged:```

```1. pot99rta/Patricide-12B-Forgottenslop-Mell```

```2. yamatazen/LorablatedStock-12B```

```3. mergekit-community/Irix-12B_Slush ```

```4. SuperbEmphasis/Omega-Darker_The-Final-Directive-Longform-Stage2-ERP-12B-v0.2 ```

```Preset:```

```Use ChatML, Mistral, or Phi - Only used Phi with ChatML as Tokenizer in my testing.```

# merge

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

## Merge Details
### Merge Method

This model was merged using the [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [pot99rta/Patricide-12B-Forgottenslop-Mell](https://huggingface.co/pot99rta/Patricide-12B-Forgottenslop-Mell) as a base.

### Models Merged

The following models were included in the merge:
* [yamatazen/LorablatedStock-12B](https://huggingface.co/yamatazen/LorablatedStock-12B)
* [mergekit-community/Irix-12B_Slush](https://huggingface.co/mergekit-community/Irix-12B_Slush)
* [SuperbEmphasis/Omega-Darker_The-Final-Directive-Longform-Stage2-ERP-12B-v0.2](https://huggingface.co/SuperbEmphasis/Omega-Darker_The-Final-Directive-Longform-Stage2-ERP-12B-v0.2)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
base_model: pot99rta/Patricide-12B-Forgottenslop-Mell
models:
  - model: mergekit-community/Irix-12B_Slush
  - model: SuperbEmphasis/Omega-Darker_The-Final-Directive-Longform-Stage2-ERP-12B-v0.2
  - model: yamatazen/LorablatedStock-12B
merge_method: model_stock
dtype: bfloat16
out_dtype: bfloat16
parameters:
  normalize: true
tokenizer:
  source: union
```