Instructions to use LongSafari/hyenadna-medium-160k-seqlen-hf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use LongSafari/hyenadna-medium-160k-seqlen-hf with Transformers:

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

pipe = pipeline("text-generation", model="LongSafari/hyenadna-medium-160k-seqlen-hf", trust_remote_code=True)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("LongSafari/hyenadna-medium-160k-seqlen-hf", trust_remote_code=True, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use LongSafari/hyenadna-medium-160k-seqlen-hf with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "LongSafari/hyenadna-medium-160k-seqlen-hf"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "LongSafari/hyenadna-medium-160k-seqlen-hf",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/LongSafari/hyenadna-medium-160k-seqlen-hf

SGLang

How to use LongSafari/hyenadna-medium-160k-seqlen-hf 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 "LongSafari/hyenadna-medium-160k-seqlen-hf" \
    --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": "LongSafari/hyenadna-medium-160k-seqlen-hf",
		"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 "LongSafari/hyenadna-medium-160k-seqlen-hf" \
        --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": "LongSafari/hyenadna-medium-160k-seqlen-hf",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use LongSafari/hyenadna-medium-160k-seqlen-hf with Docker Model Runner:
```
docker model run hf.co/LongSafari/hyenadna-medium-160k-seqlen-hf
```

hyenadna-medium-160k-seqlen-hf

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{
  "_name_or_path": "hyenadna-medium-160k-seqlen-hf",
  "activation_freq": 10,
  "architectures": [
    "HyenaDNAForCausalLM"
  ],
  "auto_map": {
    "AutoConfig": "configuration_hyena.HyenaConfig",
    "AutoModel": "modeling_hyena.HyenaDNAModel",
    "AutoModelForCausalLM": "modeling_hyena.HyenaDNAForCausalLM",
    "AutoModelForSequenceClassification": "modeling_hyena.HyenaDNAForSequenceClassification"
  },
  "d_inner": 1024,
  "d_model": 256,
  "emb_dim": 5,
  "embed_dropout": 0.1,
  "filter_order": 64,
  "hyena_dropout": 0.0,
  "hyena_filter_dropout": 0.0,
  "hyena_order": 2,
  "initializer_range": 0.02,
  "layer_norm_epsilon": 1e-05,
  "max_seq_len": 160002,
  "model_type": "hyenadna",
  "n_layer": 8,
  "num_inner_mlps": 2,
  "pad_token_id": 4,
  "pad_vocab_size_multiple": 8,
  "short_filter_order": 3,
  "tie_word_embeddings": false,
  "torch_dtype": "float32",
  "train_freq": true,
  "transformers_version": "4.35.0.dev0",
  "use_bias": true,
  "vocab_size": 12
}