Instructions to use Motif-Technologies/Motif-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Motif-Technologies/Motif-3 with Transformers:

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

pipe = pipeline("text-generation", model="Motif-Technologies/Motif-3", trust_remote_code=True)
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("Motif-Technologies/Motif-3", trust_remote_code=True, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Motif-Technologies/Motif-3 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Motif-Technologies/Motif-3"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Motif-Technologies/Motif-3",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Motif-Technologies/Motif-3

SGLang

How to use Motif-Technologies/Motif-3 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 "Motif-Technologies/Motif-3" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Motif-Technologies/Motif-3",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "Motif-Technologies/Motif-3" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Motif-Technologies/Motif-3",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Motif-Technologies/Motif-3 with Docker Model Runner:
```
docker model run hf.co/Motif-Technologies/Motif-3
```

Add community evaluation results

by SaylorTwift HF Staff - opened 3 days ago

base: refs/heads/main

←

from: refs/pr/2

Discussion Files changed

3 days ago

PR Description: Add Evaluation Results for Motif-Technologies/Motif-3

Summary

This PR adds evaluation results extracted from the Motif 3 Technical Report (arXiv:2608.09119, Table 6) for Motif-Technologies/Motif-3 to the .eval_results/ directory, following the Hugging Face Hub evaluation-results specification.

Benchmarks Added

Benchmark (paper)	Score	Hub Dataset	Task ID	Leaderboard
SWE-bench Verified	76.2	`SWE-bench/SWE-bench_Verified`	`swe_bench_%_resolved`	link
GPQA Diamond	83.4	`Idavidrein/gpqa`	`diamond`	link
HLE	37.0	`cais/hle`	`hle`	link

Benchmarks Skipped (Not Registered on Hub)

The following benchmarks are reported in Table 6 of the paper but could not be added because they do not have a registered eval.yaml on the Hugging Face Hub:

GDPval-AA v2: 38.7
TAU2-Bench Telecom: 94.7
TAU3-Bench Banking: 35.3
ITBench-AA: 51.5 (public subset only)
Terminal-Bench 2.1: 74.9 — Hub only registers Terminal-Bench 2.0 (harborframework/terminal-bench-2.0); skipped due to version mismatch rather than mapped to a different version.
SciCode: 40.6
IMO-AnswerBench: 83.2
Apex-shortlist: 75.5
CritPt: 6.6
AA-Omniscience Accuracy: 30.1
AA-Omniscience Non-Hallucination: 71.6
AA-LCR: 72.3
IFBench: 78.2

These can be added once the benchmark authors register their eval.yaml on the Hub.

Source

Model card: https://huggingface.co/Motif-Technologies/Motif-3
Paper: https://arxiv.org/abs/2608.09119

Files Added

.eval_results/Motif-3.yaml

Verification

These results were extracted from the paper's own published evaluation table (Table 6). No verified token is provided as these were not run via HF Jobs with inspect-ai.

Add community evaluation results0175f23e

TaehyunKimMotif changed pull request status to merged 3 days ago

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