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
```

Inferno-Exp-1.7 / config.json

AlgoDriveAI

Release Inferno-Exp-1.7: step 275000, ArithMark 85.70%, exact training source

a24c674 verified 2 days ago

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	{
	"architectures": [
	"InfernoForCausalLM"
	],
	"auto_map": {
	"AutoConfig": "modeling_inferno.InfernoConfig",
	"AutoModelForCausalLM": "modeling_inferno.InfernoForCausalLM"
	},
	"bos_token_id": 32000,
	"dtype": "float32",
	"eos_token_id": 32000,
	"gate_shift_start": -1,
	"head_dim": 64,
	"hidden_size": 1024,
	"intermediate_size": 2816,
	"max_position_embeddings": 4096,
	"model_type": "inferno",
	"num_attention_heads": 16,
	"num_hidden_layers": 32,
	"num_key_value_heads": 4,
	"pad_token_id": 32000,
	"rope_theta": 10000.0,
	"transformers_version": "4.57.6",
	"use_cache": false,
	"vocab_size": 32064
	}