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 5000; complete resumable checkpoint
Browse files- complete.json +6 -6
- coverage.json +80 -27
- latest.json +1 -1
- model.safetensors +1 -1
- shard_scheduler.json +287 -29
- trainer.pt +2 -2
- training_config.json +2 -2
complete.json
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"signature": "9fee47918905b0750bee87876aa424f021ccc4507ee8db22a11d01fbc6109063"
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coverage.json
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latest.json
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{"step":
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{"step": 5000, "files": {"config.json": "cbc72137da3dae65085a2a8c39ad7634d16bf92d785ca00d283ee82fe32b37e7", "generation_config.json": "54ed0d19f6226888c91157964ede8a892bd5ae175bfad85336152b3d9b6cd7c4", "model.safetensors": "c8aa1507ab6f726c5ffd1b20a36284bd30c32cd1cf5c419d73cbc66d98ed6afd", "tokenization_byte.py": "279b9990f77b1eaedc7c1184fe13d60273a713ead856200f1fb9ae323c7b1e03", "tokenizer_config.json": "0ecbd4fd39e35125800d806af981ba0cacd8a7ba5f02c9e729c4ecc54af6d300", "special_tokens_map.json": "20d4b94d0e657c3f44d9123522c106e7315b6c1a1b6d259478f17bd2918b1263", "byte_vocab.json": "57a1cd2e70dd5b7cc6fd2eaa12ebfcd173c1620fa5d45c2c6282511c29b6a5f6", "trainer.pt": "bc1fa5664111a090e684ef00bc5753f106bfd58076a5047bfda30955ab3d9b43", "training_config.json": "f08d2b46b36e5a060b47b42699c2a03ce255f88d1589e7e6a18a4b35ab59c4c7", "performance.json": "b95a1befd575f8d9a02b43fd0cc41c54243f5297127b93d2656e0292ba15e77e", "shard_scheduler.json": "fe416c1fb82665d94c94be2f3fbdb92516402dd5bee1d4df92808e6efd9f97ab", "coverage.json": "6a692152610fe0c0340ddcdb7db228594b1270a850305aaeacbb81308e2c0c68", "README.md": "9ce0f9efacbc46177a7e818b6aed274d84e7145ff944b5c7d6ecd5d33b9d4419"}, "signature": "9fee47918905b0750bee87876aa424f021ccc4507ee8db22a11d01fbc6109063", "folder": "step-000000005000"}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 360622744
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size 360622744
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shard_scheduler.json
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"tokens_per_second": 1062967.6168812835,
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"source": "openmath",
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"gpu_measurement": "Selected forward/backward estimate; replaced by live successful update timings.",
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"shard_benchmark_scope": "Local packing/read measurements; upload capacity measured only on real data commits. Targets larger than available pages are sample-limited.",
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| 164 |
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"producer_batches_per_second":
|
| 165 |
-
"gpu_batches_per_second": 1.
|
| 166 |
-
"producer_headroom":
|
| 167 |
-
"sustainable":
|
| 168 |
-
"buffer_seconds": 60.
|
| 169 |
-
"buffer_drain_seconds":
|
| 170 |
-
"shard_target_mib":
|
| 171 |
-
"upload_pages_per_commit":
|
| 172 |
-
"max_pending_pages":
|
| 173 |
-
"generation_bytes_per_second":
|
| 174 |
-
"upload_bytes_per_second":
|
| 175 |
"upload_sustainable": true,
|
| 176 |
"logical_page_rows": 4096,
|
| 177 |
"logical_cortex_page_rows": 128,
|
| 178 |
-
"estimated_full_shards_per_hour":
|
| 179 |
"selection_policy": "Smallest shard within 90% of measured local peak, enlarged to amortize 30 seconds of measured page production; bounded to 256 MiB."
|
| 180 |
},
|
| 181 |
"upload_measurements": [
|
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@@ -184,6 +184,264 @@
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"bytes": 5047481,
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"pages": 1,
|
| 186 |
"shards": 1
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| 187 |
}
|
| 188 |
],
|
| 189 |
"cache_key": {
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|
| 22 |
"tokens_per_second": 1062967.6168812835,
|
| 23 |
"note": "Bounded fresh sample; full-page latency is an extrapolation.",
|
| 24 |
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|
| 25 |
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|
| 26 |
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"required_pages_per_second_upper_estimate": 0.006438391145967182
|
| 27 |
},
|
| 28 |
{
|
| 29 |
"source": "rewrite6",
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|
| 36 |
"tokens_per_second": 1206672.263377472,
|
| 37 |
"note": "Bounded fresh sample; full-page latency is an extrapolation.",
|
| 38 |
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|
| 39 |
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|
| 40 |
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"required_pages_per_second_upper_estimate": 0.003703918998943418
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| 41 |
},
|
| 42 |
{
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| 43 |
"source": "openmath",
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|
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|
| 50 |
"tokens_per_second": 410042.7581134458,
|
| 51 |
"note": "Bounded fresh sample; full-page latency is an extrapolation.",
|
| 52 |
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| 53 |
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| 54 |
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"required_pages_per_second_upper_estimate": 0.004295835344329655
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| 55 |
},
|
| 56 |
{
|
| 57 |
"source": "ultra_qa",
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|
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|
| 64 |
"tokens_per_second": 2163486.5624068812,
|
| 65 |
"note": "Bounded fresh sample; full-page latency is an extrapolation.",
|
| 66 |
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| 67 |
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| 68 |
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| 69 |
},
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| 70 |
{
|
| 71 |
"source": "ultra_style",
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|
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|
| 78 |
"tokens_per_second": 1546694.2737633225,
|
| 79 |
"note": "Bounded fresh sample; full-page latency is an extrapolation.",
|
| 80 |
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| 81 |
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| 82 |
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| 83 |
},
|
| 84 |
{
|
| 85 |
"source": "cortex",
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|
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|
| 91 |
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|
| 92 |
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| 93 |
"note": "Bounded fresh sample; full-page latency is an extrapolation.",
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| 94 |
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| 95 |
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| 96 |
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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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|
|
|
| 155 |
"shard_benchmark_scope": "Local packing/read measurements; upload capacity measured only on real data commits. Targets larger than available pages are sample-limited.",
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| 156 |
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|
| 157 |
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| 158 |
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| 159 |
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| 160 |
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| 162 |
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| 168 |
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| 169 |
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| 170 |
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| 171 |
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| 172 |
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| 173 |
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| 178 |
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| 179 |
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| 180 |
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| 181 |
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|
| 184 |
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|
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version https://git-lfs.github.com/spec/v1
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oid sha256:
|
| 3 |
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size
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|
| 1 |
version https://git-lfs.github.com/spec/v1
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oid sha256:bc1fa5664111a090e684ef00bc5753f106bfd58076a5047bfda30955ab3d9b43
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size 721764031
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training_config.json
CHANGED
|
@@ -46,8 +46,8 @@
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|
| 46 |
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|
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