Instructions to use microsoft/Dayhoff-170m-GR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use microsoft/Dayhoff-170m-GR with Transformers:

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

pipe = pipeline("text-generation", model="microsoft/Dayhoff-170m-GR")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("microsoft/Dayhoff-170m-GR")
model = AutoModelForCausalLM.from_pretrained("microsoft/Dayhoff-170m-GR")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use microsoft/Dayhoff-170m-GR with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "microsoft/Dayhoff-170m-GR"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "microsoft/Dayhoff-170m-GR",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/microsoft/Dayhoff-170m-GR

SGLang

How to use microsoft/Dayhoff-170m-GR 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 "microsoft/Dayhoff-170m-GR" \
    --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": "microsoft/Dayhoff-170m-GR",
		"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 "microsoft/Dayhoff-170m-GR" \
        --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": "microsoft/Dayhoff-170m-GR",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use microsoft/Dayhoff-170m-GR with Docker Model Runner:
```
docker model run hf.co/microsoft/Dayhoff-170m-GR
```

Update `README.md` with metadata

by alvarobartt HF Staff - opened Dec 2, 2025

base: refs/heads/main

←

from: refs/pr/1

Discussion Files changed

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README.md CHANGED Viewed

@@ -1,5 +1,12 @@
 ---
-{}
 ---
 # Model Card for Dayhoff

 ---
+license: mit
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+- protein-generation
+- jamba
+datasets:
+- microsoft/Dayhoff
 ---
 # Model Card for Dayhoff