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 690000; complete resumable checkpoint
Browse files- complete.json +8 -8
- coverage.json +47 -47
- latest.json +1 -1
- model.safetensors +1 -1
- performance.json +3 -3
- shard_scheduler.json +40 -388
- trainer.pt +2 -2
- training_config.json +1 -1
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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"selected": {
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"required_pages_per_second_upper_estimate": 0.
|
| 69 |
},
|
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{
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"source": "ultra_style",
|
|
@@ -78,8 +78,8 @@
|
|
| 78 |
"tokens_per_second": 22018.86276523721,
|
| 79 |
"note": "Bounded fresh sample; full-page latency is an extrapolation.",
|
| 80 |
"estimated_pages_for_buffer": 1,
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| 81 |
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"required_token_positions_per_second":
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"required_pages_per_second_upper_estimate": 0.
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},
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{
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"source": "cortex",
|
|
@@ -92,8 +92,8 @@
|
|
| 92 |
"tokens_per_second": 910315.184299418,
|
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"note": "Bounded fresh sample; full-page latency is an extrapolation.",
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| 94 |
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-
"required_token_positions_per_second":
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"required_pages_per_second_upper_estimate": 0.
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}
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],
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"gpu_measurement": "Selected forward/backward estimate; replaced by live successful update timings.",
|
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@@ -158,409 +158,61 @@
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|
| 161 |
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| 165 |
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|
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| 172 |
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"upload_bytes_per_second":
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| 178 |
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"estimated_full_shards_per_hour":
|
| 179 |
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|
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@@ -606,7 +258,7 @@
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| 22 |
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| 28 |
{
|
| 29 |
"source": "rewrite6",
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|
| 36 |
"tokens_per_second": 8533.957213384612,
|
| 37 |
"note": "Bounded fresh sample; full-page latency is an extrapolation.",
|
| 38 |
"estimated_pages_for_buffer": 1,
|
| 39 |
+
"required_token_positions_per_second": 9473.79859670423,
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| 40 |
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"required_pages_per_second_upper_estimate": 0.0039664816370287475
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| 41 |
},
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| 42 |
{
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| 43 |
"source": "openmath",
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|
| 50 |
"tokens_per_second": 380144.35761751566,
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| 51 |
"note": "Bounded fresh sample; full-page latency is an extrapolation.",
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| 52 |
"estimated_pages_for_buffer": 1,
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| 53 |
+
"required_token_positions_per_second": 18947.59719340846,
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| 54 |
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"required_pages_per_second_upper_estimate": 0.00394628481364685
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| 55 |
},
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| 56 |
{
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| 57 |
"source": "ultra_qa",
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|
| 64 |
"tokens_per_second": 43742.16556775435,
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| 65 |
"note": "Bounded fresh sample; full-page latency is an extrapolation.",
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| 66 |
"estimated_pages_for_buffer": 1,
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| 67 |
+
"required_token_positions_per_second": 28421.395790112692,
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"required_pages_per_second_upper_estimate": 0.0017038192806586498
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| 69 |
},
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| 70 |
{
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| 71 |
"source": "ultra_style",
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|
| 78 |
"tokens_per_second": 22018.86276523721,
|
| 79 |
"note": "Bounded fresh sample; full-page latency is an extrapolation.",
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| 80 |
"estimated_pages_for_buffer": 1,
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| 81 |
+
"required_token_positions_per_second": 28421.395790112692,
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| 82 |
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"required_pages_per_second_upper_estimate": 0.0022096385101729103
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| 83 |
},
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| 84 |
{
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| 85 |
"source": "cortex",
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|
| 92 |
"tokens_per_second": 910315.184299418,
|
| 93 |
"note": "Bounded fresh sample; full-page latency is an extrapolation.",
|
| 94 |
"estimated_pages_for_buffer": 22,
|
| 95 |
+
"required_token_positions_per_second": 28421.395790112692,
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| 96 |
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"required_pages_per_second_upper_estimate": 0.36455914867834804
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| 97 |
}
|
| 98 |
],
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| 99 |
"gpu_measurement": "Selected forward/backward estimate; replaced by live successful update timings.",
|
|
|
|
| 158 |
"prefetch_batches": 62,
|
| 159 |
"prefetch_capacity_limit": 512,
|
| 160 |
"batch_memory_estimate_bytes": 720750,
|
| 161 |
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"producer_batch_seconds": 0.15217620494523487,
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| 162 |
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"producer_p95_seconds": 0.1721363199994812,
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| 163 |
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"gpu_update_seconds": 0.9727882544606855,
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| 164 |
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"producer_batches_per_second": 6.571329600182103,
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| 165 |
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"gpu_batches_per_second": 1.0279729380104417,
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| 166 |
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"producer_headroom": 6.392512251246982,
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| 167 |
"sustainable": true,
|
| 168 |
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"buffer_seconds": 60.3128717765625,
|
| 169 |
"buffer_drain_seconds": null,
|
| 170 |
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|
| 171 |
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"upload_pages_per_commit": 79,
|
| 172 |
"max_pending_pages": 4096,
|
| 173 |
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"generation_bytes_per_second": 373719.53067025304,
|
| 174 |
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"upload_bytes_per_second": 4658638.935595296,
|
| 175 |
"upload_sustainable": true,
|
| 176 |
"logical_page_rows": 4096,
|
| 177 |
"logical_cortex_page_rows": 128,
|
| 178 |
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"estimated_full_shards_per_hour": 80.19151153641408,
|
| 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 |
},
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| 181 |
"upload_measurements": [
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| 182 |
{
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| 183 |
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"seconds": 0.9768797280003128,
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| 184 |
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"bytes": 23252,
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"pages": 1,
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|
| 186 |
"shards": 1
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| 187 |
},
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| 188 |
{
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| 189 |
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"seconds": 1.0272072289999414,
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| 190 |
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"bytes": 7383107,
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| 191 |
"pages": 38,
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|
| 192 |
"shards": 3
|
| 193 |
},
|
| 194 |
{
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| 195 |
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"seconds": 1.1484548910002559,
|
| 196 |
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"bytes": 5982767,
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| 197 |
"pages": 37,
|
| 198 |
"shards": 2
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| 199 |
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|
| 200 |
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| 201 |
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"seconds": 1.7043199660001846,
|
| 202 |
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"bytes": 963598,
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|
| 203 |
"pages": 26,
|
| 204 |
"shards": 1
|
| 205 |
},
|
| 206 |
{
|
| 207 |
+
"seconds": 1.1770538490000035,
|
| 208 |
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"bytes": 8003790,
|
| 209 |
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"pages": 38,
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|
| 210 |
"shards": 3
|
| 211 |
},
|
| 212 |
{
|
| 213 |
+
"seconds": 1.2935991909998847,
|
| 214 |
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"bytes": 11779732,
|
| 215 |
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"pages": 36,
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|
| 216 |
"shards": 3
|
| 217 |
}
|
| 218 |
],
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|
|
|
| 258 |
},
|
| 259 |
"cache_reused": true,
|
| 260 |
"resume_probe_seconds": [
|
| 261 |
+
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|
| 262 |
+
0.015869192000025123
|
| 263 |
]
|
| 264 |
}
|
trainer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:24ae65d790f92deee8ff8c64623716e72d101b0c319d3796bed4c28c51aec73b
|
| 3 |
+
size 721776383
|
training_config.json
CHANGED
|
@@ -32,7 +32,7 @@
|
|
| 32 |
"openmath": 10,
|
| 33 |
"rewrite6": 5
|
| 34 |
},
|
| 35 |
-
"lr":
|
| 36 |
"weight_decay": 0.1,
|
| 37 |
"lr_schedule": "auto",
|
| 38 |
"warmup_steps": 1000,
|
|
|
|
| 32 |
"openmath": 10,
|
| 33 |
"rewrite6": 5
|
| 34 |
},
|
| 35 |
+
"lr": 8e-05,
|
| 36 |
"weight_decay": 0.1,
|
| 37 |
"lr_schedule": "auto",
|
| 38 |
"warmup_steps": 1000,
|