Instructions to use sapientinc/HRM-Text-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use sapientinc/HRM-Text-1B with Transformers:

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

pipe = pipeline("text-generation", model="sapientinc/HRM-Text-1B", trust_remote_code=True)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("sapientinc/HRM-Text-1B", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("sapientinc/HRM-Text-1B", trust_remote_code=True)

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use sapientinc/HRM-Text-1B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "sapientinc/HRM-Text-1B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "sapientinc/HRM-Text-1B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/sapientinc/HRM-Text-1B

SGLang

How to use sapientinc/HRM-Text-1B 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 "sapientinc/HRM-Text-1B" \
    --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": "sapientinc/HRM-Text-1B",
		"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 "sapientinc/HRM-Text-1B" \
        --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": "sapientinc/HRM-Text-1B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use sapientinc/HRM-Text-1B with Docker Model Runner:
```
docker model run hf.co/sapientinc/HRM-Text-1B
```

Technical Report/Paper?

by sankn123 - opened about 10 hours ago

Discussion

sankn123

about 10 hours ago

Hey guys,
Amazing work!!

Would love to dive deeper into the smaller details and decisions behind training this model. Are you planning to release a technical report or writeup for it?

Would really appreciate it.

Thanks!

liucl26

Sapient AI org about 9 hours ago

Thanks a lot!

Yes, we’re planning to release a technical report/paper with more details soon :)

abcd1927

Sapient AI org about 9 hours ago

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