Instructions to use Gryphe/MergeMonster-13b-20231124 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Gryphe/MergeMonster-13b-20231124 with Transformers:

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

pipe = pipeline("text-generation", model="Gryphe/MergeMonster-13b-20231124")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Gryphe/MergeMonster-13b-20231124")
model = AutoModelForCausalLM.from_pretrained("Gryphe/MergeMonster-13b-20231124")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Gryphe/MergeMonster-13b-20231124 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Gryphe/MergeMonster-13b-20231124"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Gryphe/MergeMonster-13b-20231124",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Gryphe/MergeMonster-13b-20231124

SGLang

How to use Gryphe/MergeMonster-13b-20231124 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 "Gryphe/MergeMonster-13b-20231124" \
    --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": "Gryphe/MergeMonster-13b-20231124",
		"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 "Gryphe/MergeMonster-13b-20231124" \
        --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": "Gryphe/MergeMonster-13b-20231124",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Gryphe/MergeMonster-13b-20231124 with Docker Model Runner:
```
docker model run hf.co/Gryphe/MergeMonster-13b-20231124
```

Gryphe commited on Nov 26, 2023

Commit

da1efdc

1 Parent(s): 9af6f56

Update README.md

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README.md +2 -2

README.md CHANGED Viewed

@@ -3,9 +3,9 @@ license: other
 language:
 - en
 ---
-I received a request to upload the FP16 version of my first [MergeMonster](https://github.com/Gryphe/MergeMonster/tree/main) 13b merge, which has the sole focus of reducing overused ChatGPT roleplaying phrases. Many ministrations were murdered throughout this process.
-GGUF quantizations can be found in my [MergeMonster](https://huggingface.co/Gryphe/MergeMonster) repo.
 ## Merge Composition

 language:
 - en
 ---
+I received a request to upload the FP16 version of my first [MergeMonster](https://github.com/Gryphe/MergeMonster/tree/main) 13b merge, which had the sole focus of reducing overused ChatGPT roleplaying phrases. Many ministrations were murdered throughout this process.
+GGUF quantizations can be found in my main [MergeMonster](https://huggingface.co/Gryphe/MergeMonster) repo.
 ## Merge Composition