Instructions to use AlgoDriveAI/Inferno-Exp-1.7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use AlgoDriveAI/Inferno-Exp-1.7 with Transformers:

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

pipe = pipeline("text-generation", model="AlgoDriveAI/Inferno-Exp-1.7", trust_remote_code=True)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("AlgoDriveAI/Inferno-Exp-1.7", trust_remote_code=True, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use AlgoDriveAI/Inferno-Exp-1.7 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "AlgoDriveAI/Inferno-Exp-1.7"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "AlgoDriveAI/Inferno-Exp-1.7",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/AlgoDriveAI/Inferno-Exp-1.7

SGLang

How to use AlgoDriveAI/Inferno-Exp-1.7 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 "AlgoDriveAI/Inferno-Exp-1.7" \
    --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": "AlgoDriveAI/Inferno-Exp-1.7",
		"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 "AlgoDriveAI/Inferno-Exp-1.7" \
        --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": "AlgoDriveAI/Inferno-Exp-1.7",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use AlgoDriveAI/Inferno-Exp-1.7 with Docker Model Runner:
```
docker model run hf.co/AlgoDriveAI/Inferno-Exp-1.7
```

AlgoDriveAI commited on 18 days ago

Commit

1ffeee3

verified ·

1 Parent(s): 69ef441

Refine the next-generation model announcement

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@@ -78,7 +78,7 @@ model-index:
 # Inferno-Exp-1.7
-> **The final Inferno release:** Inferno-Exp-1.7 marks the end of the Inferno series of models. A new chapter with fresh branding is coming soon. Stay tuned for the next release.
 **Inferno-Exp-1.7** is AlgoDriveAI's 393.6M-parameter, math-first decoder-only base language model.
 This release publishes the selected `32_indx.pt` snapshot at **continuation step 275,000**,

 # Inferno-Exp-1.7
+> **The final Inferno release:** Inferno-Exp-1.7 marks the end of the Inferno series of models. The next generation of models is coming soon. Stay tuned.
 **Inferno-Exp-1.7** is AlgoDriveAI's 393.6M-parameter, math-first decoder-only base language model.
 This release publishes the selected `32_indx.pt` snapshot at **continuation step 275,000**,