Instructions to use adamo1139/aya-expanse-32b-ungated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use adamo1139/aya-expanse-32b-ungated with Transformers:

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

pipe = pipeline("text-generation", model="adamo1139/aya-expanse-32b-ungated")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("adamo1139/aya-expanse-32b-ungated")
model = AutoModelForCausalLM.from_pretrained("adamo1139/aya-expanse-32b-ungated", device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use adamo1139/aya-expanse-32b-ungated with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "adamo1139/aya-expanse-32b-ungated"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "adamo1139/aya-expanse-32b-ungated",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/adamo1139/aya-expanse-32b-ungated

SGLang

How to use adamo1139/aya-expanse-32b-ungated 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 "adamo1139/aya-expanse-32b-ungated" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "adamo1139/aya-expanse-32b-ungated",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "adamo1139/aya-expanse-32b-ungated" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "adamo1139/aya-expanse-32b-ungated",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use adamo1139/aya-expanse-32b-ungated with Docker Model Runner:
```
docker model run hf.co/adamo1139/aya-expanse-32b-ungated
```

adamo1139 commited on Oct 29, 2024

Commit

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@@ -26,15 +26,11 @@ language:
 - uk
 - vi
 license: cc-by-nc-4.0
-extra_gated_prompt: "By submitting this form, you agree to the [License Agreement](https://cohere.com/c4ai-cc-by-nc-license)  and acknowledge that the information you provide will be collected, used, and shared in accordance with Cohere’s [Privacy Policy]( https://cohere.com/privacy). You’ll receive email updates about C4AI and Cohere research, events, products and services. You can unsubscribe at any time."
-extra_gated_fields:
- Name: text
- Affiliation: text
- Country: country
- I agree to use this model for non-commercial use ONLY: checkbox
 ---
-# Model Card for Aya-Expanse-32B
 <img src="aya-expanse-32B.png" width="650" style="margin-left:'auto' margin-right:'auto' display:'block'"/>

 - uk
 - vi
 license: cc-by-nc-4.0
 ---
+# Model Card for Aya-Expanse-32B Ungated
+Aya-Expanse 32B, but not gated!
 <img src="aya-expanse-32B.png" width="650" style="margin-left:'auto' margin-right:'auto' display:'block'"/>