Image-Text-to-Text
Transformers
Safetensors
qwen4_exp
darwin
darwin-rsi
model-level-rsi
recursive-self-improvement
self-improvement
vidraft
final-bench
qwen
qwen3.8
Mixture of Experts
mixture-of-experts
sparse-moe
180b
hybrid-attention
linear-attention
long-context
262k-context
vision-language
multimodal
reasoning
reasoning-model
thinking
structured-output
document-extraction
extractbench
evasionbench
ztc
zero-token-confidence
Eval Results
korean
english
vllm
openai-compatible
conversational
Instructions to use FINAL-Bench/Darwin-180B-RSI-R3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FINAL-Bench/Darwin-180B-RSI-R3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="FINAL-Bench/Darwin-180B-RSI-R3") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] pipe(text=messages)# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("FINAL-Bench/Darwin-180B-RSI-R3") model = AutoModelForMultimodalLM.from_pretrained("FINAL-Bench/Darwin-180B-RSI-R3", device_map="auto") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] inputs = processor.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=256) print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use FINAL-Bench/Darwin-180B-RSI-R3 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "FINAL-Bench/Darwin-180B-RSI-R3" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "FINAL-Bench/Darwin-180B-RSI-R3", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker
docker model run hf.co/FINAL-Bench/Darwin-180B-RSI-R3
- SGLang
How to use FINAL-Bench/Darwin-180B-RSI-R3 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 "FINAL-Bench/Darwin-180B-RSI-R3" \ --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": "FINAL-Bench/Darwin-180B-RSI-R3", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'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 "FINAL-Bench/Darwin-180B-RSI-R3" \ --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": "FINAL-Bench/Darwin-180B-RSI-R3", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }' - Docker Model Runner
How to use FINAL-Bench/Darwin-180B-RSI-R3 with Docker Model Runner:
docker model run hf.co/FINAL-Bench/Darwin-180B-RSI-R3
Point Darwin Family paper link to the Hugging Face paper page
Browse files
README.md
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<a href="https://huggingface.co/FINAL-Bench/Darwin-180B-RSI"><img src="https://img.shields.io/badge/Round_1-Darwin--180B--RSI-e11d48?style=for-the-badge"></a>
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<a href="https://huggingface.co/papers/2609.20269"><img src="https://img.shields.io/badge/Paper-2609.20269_Latin_Square-b31b1b?style=for-the-badge"></a>
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<a href="https://huggingface.co/collections/FINAL-Bench/darwin-family"><img src="https://img.shields.io/badge/🧬_Collection-Darwin_Family-16a34a?style=for-the-badge"></a>
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<a href="https://huggingface.co/FINAL-Bench/POCKET-Darwin-180B-GGUF"><img src="https://img.shields.io/badge/💻_POCKET_4--bit-Laptop_·_CPU_only_·_DGX_Spark-0f766e?style=for-the-badge"></a>
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## 🏢 About
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Built by **[VIDRAFT](https://vidraft.net)** · evaluated with **FINAL-Bench**. Part of the [Darwin Family](https://
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<a href="https://huggingface.co/FINAL-Bench/Darwin-180B-RSI"><img src="https://img.shields.io/badge/Round_1-Darwin--180B--RSI-e11d48?style=for-the-badge"></a>
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<a href="https://huggingface.co/papers/2605.14386"><img src="https://img.shields.io/badge/arXiv-2605.14386_Darwin_Family-b31b1b?style=for-the-badge"></a>
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<a href="https://huggingface.co/papers/2609.20269"><img src="https://img.shields.io/badge/Paper-2609.20269_Latin_Square-b31b1b?style=for-the-badge"></a>
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<a href="https://huggingface.co/collections/FINAL-Bench/darwin-family"><img src="https://img.shields.io/badge/🧬_Collection-Darwin_Family-16a34a?style=for-the-badge"></a>
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<a href="https://huggingface.co/FINAL-Bench/POCKET-Darwin-180B-GGUF"><img src="https://img.shields.io/badge/💻_POCKET_4--bit-Laptop_·_CPU_only_·_DGX_Spark-0f766e?style=for-the-badge"></a>
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## 🏢 About
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Built by **[VIDRAFT](https://vidraft.net)** · evaluated with **FINAL-Bench**. Part of the [Darwin Family](https://huggingface.co/papers/2605.14386).
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