Text Generation
Transformers
TensorBoard
Safetensors
English
qwen3
byte-level
pretraining
symbolic
text-generation-inference
Instructions to use dotlabs/void.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dotlabs/void.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="dotlabs/void.1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("dotlabs/void.1") model = AutoModelForCausalLM.from_pretrained("dotlabs/void.1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use dotlabs/void.1 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "dotlabs/void.1" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "dotlabs/void.1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/dotlabs/void.1
- SGLang
How to use dotlabs/void.1 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 "dotlabs/void.1" \ --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": "dotlabs/void.1", "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 "dotlabs/void.1" \ --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": "dotlabs/void.1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use dotlabs/void.1 with Docker Model Runner:
docker model run hf.co/dotlabs/void.1
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README.md
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<video src="https://huggingface.co/dotlabs/void.1/resolve/main/teaser.mp4" autoplay loop width="100%"></video>
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## Comparison
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| Model | Params | HellaSwag | PIQA | ARC-E | ARC-C | ArithMark-3 | Intelligence Index |
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| ----------------------------------------------------------------- | ------ | --------- | ------ | -------- | ------------- | ----------- | ------------------ |
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| [void.1](https://huggingface.co/spaces/AxiomicLabs/Open_SLM_Leaderboard#dotlabs-void.1)\* | **90.15M** | **39.46%** | **67.19%** | 49.32% | **29.35%** | 43.70% | **24.38** |
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| [palmer-006](https://huggingface.co/appvoid/palmer-006) | 91.10M | 38.41% | 63.60% | 44.82% | 29.27% | **52.70%** | 23.33 |
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| [tinctura-v1](https://huggingface.co/bench-labs/tinctura-v1) | 96.2M | 37.96% | 65.61% | 47.98% | 25.77% | 38.40% | 20.81 |
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| [Surjo-100m](https://huggingface.co/SurjoLabs/Surjo-100m) | 97.7M | 35.05% | 63.87% | 47.64% | 25.85% | 38.90% | 18.86 |
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## Details
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<video src="https://huggingface.co/dotlabs/void.1/resolve/main/teaser.mp4" autoplay loop width="100%"></video>
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## Comparison against sota 90m
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| Model | Params | HellaSwag | PIQA | ARC-E | ARC-C | ArithMark-3 | Intelligence Index |
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| [void.1](https://huggingface.co/spaces/AxiomicLabs/Open_SLM_Leaderboard#dotlabs-void.1)\* | **90.15M** | **39.46%** | **67.19%** | 49.32% | **29.35%** | 43.70% | **24.38** |
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| [palmer-006](https://huggingface.co/appvoid/palmer-006) | 91.10M | 38.41% | 63.60% | 44.82% | 29.27% | **52.70%** | 23.33 |
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## Details
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