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
Qwen90M step 90000; complete resumable checkpoint
Browse files- complete.json +6 -6
- coverage.json +46 -46
- latest.json +1 -1
- model.safetensors +1 -1
- performance.json +4 -4
- shard_scheduler.json +29 -185
- trainer.pt +2 -2
complete.json
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coverage.json
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latest.json
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model.safetensors
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performance.json
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shard_scheduler.json
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"required_token_positions_per_second":
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| 68 |
-
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|
| 69 |
},
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| 70 |
{
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| 71 |
"source": "ultra_style",
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|
@@ -78,8 +78,8 @@
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|
| 78 |
"tokens_per_second": 1546694.2737633225,
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| 79 |
"note": "Bounded fresh sample; full-page latency is an extrapolation.",
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| 80 |
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| 81 |
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| 82 |
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| 83 |
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| 84 |
{
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| 85 |
"source": "cortex",
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|
@@ -92,8 +92,8 @@
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|
| 92 |
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| 93 |
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| 94 |
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| 95 |
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| 97 |
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| 98 |
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| 99 |
"gpu_measurement": "Selected forward/backward estimate; replaced by live successful update timings.",
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|
@@ -158,188 +158,32 @@
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| 158 |
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| 159 |
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| 168 |
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| 169 |
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| 171 |
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| 179 |
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| 180 |
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| 182 |
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|
@@ -384,7 +228,7 @@
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| 384 |
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| 386 |
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| 22 |
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| 29 |
"source": "rewrite6",
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| 36 |
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| 37 |
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| 50 |
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| 51 |
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| 52 |
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| 64 |
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| 65 |
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| 78 |
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| 80 |
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| 92 |
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| 158 |
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trainer.pt
CHANGED
|
@@ -1,3 +1,3 @@
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|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
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|
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version https://git-lfs.github.com/spec/v1
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size 721778879
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