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
Update README.md
Browse files
README.md
CHANGED
|
@@ -26,7 +26,7 @@ State of the art, small language model pretrained from scratch on a diverse set
|
|
| 26 |
|
| 27 |
## Comparison
|
| 28 |
|
| 29 |
-
| Model | Params | HellaSwag | PIQA | ARC-E | ARC-C | AM-3 |
|
| 30 |
| ----------------------------------------------------------------- | ------ | --------- | ------ | -------- | ------------- | ----------- | ------------------ |
|
| 31 |
| [void.1](https://huggingface.co/dotlabs/void.1)\* | **90.15M** | **38.68%** | **67.46%** | 47.31% | **28.16%** | **44.80%** | **23.92** |
|
| 32 |
| [100M-exp](https://huggingface.co/User01110/100M-exp) | 98.16M | 37.78% | 66.97% | **49.83%** | 27.22% | 40.00% | 22.47 |
|
|
|
|
| 26 |
|
| 27 |
## Comparison
|
| 28 |
|
| 29 |
+
| Model | Params | HellaSwag | PIQA | ARC-E | ARC-C | AM-3 | Intelligence Index |
|
| 30 |
| ----------------------------------------------------------------- | ------ | --------- | ------ | -------- | ------------- | ----------- | ------------------ |
|
| 31 |
| [void.1](https://huggingface.co/dotlabs/void.1)\* | **90.15M** | **38.68%** | **67.46%** | 47.31% | **28.16%** | **44.80%** | **23.92** |
|
| 32 |
| [100M-exp](https://huggingface.co/User01110/100M-exp) | 98.16M | 37.78% | 66.97% | **49.83%** | 27.22% | 40.00% | 22.47 |
|