Instructions to use matchaaaaa/Fimbul-Airo-18B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use matchaaaaa/Fimbul-Airo-18B with Transformers:

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

pipe = pipeline("text-generation", model="matchaaaaa/Fimbul-Airo-18B")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("matchaaaaa/Fimbul-Airo-18B")
model = AutoModelForCausalLM.from_pretrained("matchaaaaa/Fimbul-Airo-18B", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use matchaaaaa/Fimbul-Airo-18B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "matchaaaaa/Fimbul-Airo-18B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "matchaaaaa/Fimbul-Airo-18B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/matchaaaaa/Fimbul-Airo-18B

SGLang

How to use matchaaaaa/Fimbul-Airo-18B 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 "matchaaaaa/Fimbul-Airo-18B" \
    --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": "matchaaaaa/Fimbul-Airo-18B",
		"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 "matchaaaaa/Fimbul-Airo-18B" \
        --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": "matchaaaaa/Fimbul-Airo-18B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use matchaaaaa/Fimbul-Airo-18B with Docker Model Runner:
```
docker model run hf.co/matchaaaaa/Fimbul-Airo-18B
```

Burn Oil commited on May 11, 2024

Commit

4c52649

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1 Parent(s): a572466

Update README.md

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@@ -15,7 +15,7 @@ This is a merge of pre-trained language models created using [mergekit](https://
 I tested it for thirtneen.second 👍
-Works pretty good, seems uncensored. I'll update with more results/observations as I continue to test.
 ## Merge Details
 ### Merge Method
@@ -67,4 +67,6 @@ dtype: bfloat16
 👍
 Don't forget to take care of yourself and have a wonderful day!

 I tested it for thirtneen.second 👍
+Works pretty good. Also seems to be happy when ROPEing up to 8K. Uncensored, told me how to build a nuke.
 ## Merge Details
 ### Merge Method
 👍
+Less silly models are in the works. I'm still figuring things out right now, so don't judge the bazillions of readme edits and other goofiness.
 Don't forget to take care of yourself and have a wonderful day!