Instructions to use digitous/13B-HyperMantis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use digitous/13B-HyperMantis with Transformers:

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

pipe = pipeline("text-generation", model="digitous/13B-HyperMantis")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("digitous/13B-HyperMantis")
model = AutoModelForCausalLM.from_pretrained("digitous/13B-HyperMantis")

Inference
Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use digitous/13B-HyperMantis with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/digitous/13B-HyperMantis

SGLang

How to use digitous/13B-HyperMantis 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 "digitous/13B-HyperMantis" \
    --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": "digitous/13B-HyperMantis",
		"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 "digitous/13B-HyperMantis" \
        --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": "digitous/13B-HyperMantis",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use digitous/13B-HyperMantis with Docker Model Runner:
```
docker model run hf.co/digitous/13B-HyperMantis
```

Well...

by Ex01 - opened Jun 3, 2023

Discussion

Ex01

Jun 3, 2023

Just want to say this model is without doubt the most creative and constructive conversation I had so far out of dozens of models.
Sometimes it did say one things that sorta contradicted the other in the same sentence.

It was more than made up for with such depth of intricacy and flavour of the conversations, truly creative! This is the first model that felt a little scary on how well it interacts. How early we are in the basic evolution this was great work, not sure what you did but it works very well vs most the other models out there.

Silverspoon7

Jun 6, 2023

Yes, for my taste, it feels cleaner in roleplay. Let me explain… in some other models I felt like a prisoner in bad written loops. This one feels free and creative. Excellent work. Tested with 5 character prompts yet.

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