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
File size: 14,524 Bytes
0dab379 db595f1 0dab379 db595f1 0dab379 b9a71df 0dab379 db595f1 0dab379 b9a71df 0dab379 db595f1 0dab379 b9a71df 0dab379 db595f1 0dab379 b9a71df 0dab379 db595f1 0dab379 b9a71df 0dab379 db595f1 0dab379 f803092 b9a71df 0dab379 db595f1 0dab379 db595f1 0dab379 db595f1 0dab379 db595f1 0dab379 db595f1 0dab379 db595f1 0dab379 f803092 0dab379 864cb60 b9a71df 07f5e4c b9a71df 07f5e4c afd6d38 b9a71df 07f5e4c b9a71df 1426beb c57a57a 0dab379 b9a71df 0dab379 07f5e4c 8a2ea89 256ed22 decc05c 6361dea 59c303a 743822a 6d0467d 327216e 6bce4de 2bee99e ded1bd2 55a656f c2809aa 84cc426 c39ab75 1ee1368 d503963 0402cbd fa214af f116160 ccc5937 0f59e7e 2d16b84 a219f0c 664196e 7afe1fc 3417fa4 35a5606 85672f7 9952bbc a8a8526 3cc3116 b84155c 1849893 1d5027b 6014fba 93a7b23 4794825 a0e9af6 7293cf0 5733444 1a62193 06bc82e 8b5db22 df3012e 67f7eab 0ef8222 2762763 826cedc 33e71df eedb259 0f62126 2d80da4 97921d4 49ff0ff a5f91d8 91f44dd 26c3849 b055dda 21a648f b139484 f803092 1426beb 07f5e4c 0dab379 db595f1 0dab379 1365e62 ecdd484 1365e62 0dab379 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 | {
"version": 1,
"startup_batch_seconds": [
2.3260779750000324,
0.017838069999982054,
0.0158013189999906,
0.015721255000016754,
0.09197544800002788,
0.014327330000014626,
0.013824727999974584,
0.10075297500003444
],
"source_benchmarks": [
{
"source": "climbmix",
"rows": 256,
"tokens": 903410,
"bytes": 372598,
"generation_seconds": 1.5044533369999726,
"write_seconds": 0.005470204000005197,
"read_seconds": 0.004841493000014907,
"tokens_per_second": 598315.063954628,
"note": "Bounded fresh sample; full-page latency is an extrapolation.",
"estimated_pages_for_buffer": 1,
"required_token_positions_per_second": 76123.81950539169,
"required_pages_per_second_upper_estimate": 0.005266422464979334
},
{
"source": "rewrite6",
"rows": 256,
"tokens": 149279,
"bytes": 66870,
"generation_seconds": 17.489590872999997,
"write_seconds": 0.0027630569999814725,
"read_seconds": 0.003109784999992371,
"tokens_per_second": 8533.957213384612,
"note": "Bounded fresh sample; full-page latency is an extrapolation.",
"estimated_pages_for_buffer": 1,
"required_token_positions_per_second": 9515.47743817396,
"required_pages_per_second_upper_estimate": 0.003983931697598943
},
{
"source": "openmath",
"rows": 256,
"tokens": 300086,
"bytes": 97823,
"generation_seconds": 0.7871533299999669,
"write_seconds": 0.0022467860000006112,
"read_seconds": 0.0028803160000165917,
"tokens_per_second": 380144.35761751566,
"note": "Bounded fresh sample; full-page latency is an extrapolation.",
"estimated_pages_for_buffer": 1,
"required_token_positions_per_second": 19030.95487634792,
"required_pages_per_second_upper_estimate": 0.003963646020713213
},
{
"source": "ultra_qa",
"rows": 256,
"tokens": 1042562,
"bytes": 369139,
"generation_seconds": 23.827993708999998,
"write_seconds": 0.0062629279999555365,
"read_seconds": 0.006445001999964006,
"tokens_per_second": 43742.16556775435,
"note": "Bounded fresh sample; full-page latency is an extrapolation.",
"estimated_pages_for_buffer": 1,
"required_token_positions_per_second": 28546.43231452188,
"required_pages_per_second_upper_estimate": 0.0017113150293772625
},
{
"source": "ultra_style",
"rows": 256,
"tokens": 803904,
"bytes": 337820,
"generation_seconds": 36.50458967899999,
"write_seconds": 0.00519779599994763,
"read_seconds": 0.005391688000031536,
"tokens_per_second": 22018.86276523721,
"note": "Bounded fresh sample; full-page latency is an extrapolation.",
"estimated_pages_for_buffer": 1,
"required_token_positions_per_second": 28546.43231452188,
"required_pages_per_second_upper_estimate": 0.002219359549968177
},
{
"source": "cortex",
"rows": 128,
"tokens": 77961,
"bytes": 43256,
"generation_seconds": 0.08065045199998622,
"write_seconds": 0.004991313999994418,
"read_seconds": 0.04061180899998362,
"tokens_per_second": 910315.184299418,
"note": "Bounded fresh sample; full-page latency is an extrapolation.",
"estimated_pages_for_buffer": 22,
"required_token_positions_per_second": 28546.43231452188,
"required_pages_per_second_upper_estimate": 0.3661629829597091
}
],
"gpu_measurement": "Selected forward/backward estimate; replaced by live successful update timings.",
"layout": "Logical pages unchanged; multiple pages per immutable TAR shard.",
"candidate_shard_mib": [
16,
32,
64,
128,
256
],
"local_shard_size_benchmark": [
{
"target_mib": 16,
"actual_bytes": 15554560,
"pages": 7,
"packing_seconds": 0.03195600199990167,
"read_seconds": 0.0013301719999390116,
"io_bytes_per_second": 467297923.7588089,
"target_reached": true
},
{
"target_mib": 32,
"actual_bytes": 18083840,
"pages": 9,
"packing_seconds": 0.0402841879999869,
"read_seconds": 0.0016377959999545055,
"io_bytes_per_second": 431368897.0451703,
"target_reached": false
},
{
"target_mib": 64,
"actual_bytes": 18083840,
"pages": 9,
"packing_seconds": 0.0399535819999528,
"read_seconds": 0.0013251859999172666,
"io_bytes_per_second": 438090594.17802685,
"target_reached": false
},
{
"target_mib": 128,
"actual_bytes": 18083840,
"pages": 9,
"packing_seconds": 0.04405787199993938,
"read_seconds": 0.0014645830000290516,
"io_bytes_per_second": 397250983.05907583,
"target_reached": false
},
{
"target_mib": 256,
"actual_bytes": 18083840,
"pages": 9,
"packing_seconds": 0.038781767000045875,
"read_seconds": 0.0013218610000649278,
"io_bytes_per_second": 450927781.39548963,
"target_reached": false
}
],
"shard_benchmark_scope": "Local packing/read measurements; upload capacity measured only on real data commits. Targets larger than available pages are sample-limited.",
"estimated_fresh_generation_batch_seconds": 2.558590814491007,
"selected": {
"prefetch_batches": 62,
"prefetch_capacity_limit": 512,
"batch_memory_estimate_bytes": 720750,
"producer_batch_seconds": 0.09334802634374739,
"producer_p95_seconds": 0.2307365109991224,
"gpu_update_seconds": 0.9685273345326295,
"producer_batches_per_second": 10.71259928214842,
"gpu_batches_per_second": 1.0324953817463065,
"producer_headroom": 10.375445228655368,
"sustainable": true,
"buffer_seconds": 60.04869474102303,
"buffer_drain_seconds": null,
"shard_target_mib": 16,
"upload_pages_per_commit": 83,
"max_pending_pages": 4096,
"generation_bytes_per_second": 464784.27389630285,
"upload_bytes_per_second": 3481450.2812785017,
"upload_sustainable": true,
"logical_page_rows": 4096,
"logical_cortex_page_rows": 128,
"estimated_full_shards_per_hour": 99.73188555399717,
"selection_policy": "Smallest shard within 90% of measured local peak, enlarged to amortize 30 seconds of measured page production; bounded to 256 MiB."
},
"upload_measurements": [
{
"seconds": 1.1367835250002827,
"bytes": 5040157,
"pages": 37,
"shards": 2
},
{
"seconds": 1.2845682920014951,
"bytes": 11638802,
"pages": 28,
"shards": 3
},
{
"seconds": 1.3405057710006076,
"bytes": 7718368,
"pages": 39,
"shards": 3
},
{
"seconds": 1.021054885999547,
"bytes": 1163402,
"pages": 34,
"shards": 1
},
{
"seconds": 1.532974641999317,
"bytes": 11431908,
"pages": 35,
"shards": 4
},
{
"seconds": 1.541119751000224,
"bytes": 6183503,
"pages": 36,
"shards": 2
},
{
"seconds": 1.4027249899991148,
"bytes": 1181995,
"pages": 34,
"shards": 1
},
{
"seconds": 1.3459127579990309,
"bytes": 13166079,
"pages": 31,
"shards": 4
},
{
"seconds": 1.166742791001525,
"bytes": 5284765,
"pages": 34,
"shards": 2
},
{
"seconds": 1.747680902999491,
"bytes": 7697898,
"pages": 38,
"shards": 3
},
{
"seconds": 0.9798488249998627,
"bytes": 6153509,
"pages": 36,
"shards": 2
},
{
"seconds": 1.0631558050008607,
"bytes": 1018193,
"pages": 28,
"shards": 2
},
{
"seconds": 1.8303398019997985,
"bytes": 12284688,
"pages": 40,
"shards": 4
},
{
"seconds": 1.182235641999796,
"bytes": 6603515,
"pages": 27,
"shards": 2
},
{
"seconds": 1.285518773000149,
"bytes": 6002809,
"pages": 36,
"shards": 2
},
{
"seconds": 1.7619018259993027,
"bytes": 7674402,
"pages": 38,
"shards": 3
},
{
"seconds": 1.6144984039983683,
"bytes": 4728422,
"pages": 30,
"shards": 2
},
{
"seconds": 1.6315553869990254,
"bytes": 5703905,
"pages": 24,
"shards": 2
},
{
"seconds": 1.11825536699871,
"bytes": 2656311,
"pages": 35,
"shards": 2
},
{
"seconds": 1.9071076060008636,
"bytes": 12136915,
"pages": 37,
"shards": 3
},
{
"seconds": 1.7720820229988021,
"bytes": 11800483,
"pages": 32,
"shards": 4
},
{
"seconds": 1.0689491579996684,
"bytes": 1154476,
"pages": 34,
"shards": 1
},
{
"seconds": 1.7027444539999124,
"bytes": 6185388,
"pages": 36,
"shards": 2
},
{
"seconds": 1.5859740610012523,
"bytes": 2563401,
"pages": 35,
"shards": 2
},
{
"seconds": 1.2778493570003775,
"bytes": 10237665,
"pages": 33,
"shards": 3
},
{
"seconds": 2.496101438000551,
"bytes": 13297971,
"pages": 33,
"shards": 4
},
{
"seconds": 1.2942262079995999,
"bytes": 1101377,
"pages": 34,
"shards": 1
},
{
"seconds": 1.815276637998977,
"bytes": 10307802,
"pages": 39,
"shards": 3
},
{
"seconds": 1.1417645319997973,
"bytes": 2370286,
"pages": 28,
"shards": 2
},
{
"seconds": 1.1171746460004215,
"bytes": 6111968,
"pages": 37,
"shards": 2
},
{
"seconds": 1.2683859379994828,
"bytes": 7618531,
"pages": 38,
"shards": 3
},
{
"seconds": 1.7501807870012271,
"bytes": 11262011,
"pages": 28,
"shards": 3
},
{
"seconds": 1.2981046400000196,
"bytes": 6199716,
"pages": 36,
"shards": 2
},
{
"seconds": 1.6966266469989932,
"bytes": 7696834,
"pages": 38,
"shards": 3
},
{
"seconds": 1.3060271180002019,
"bytes": 1241981,
"pages": 35,
"shards": 1
},
{
"seconds": 1.5251753980010108,
"bytes": 9924170,
"pages": 32,
"shards": 3
},
{
"seconds": 1.1737768090006284,
"bytes": 7614180,
"pages": 39,
"shards": 3
},
{
"seconds": 1.2979090160006308,
"bytes": 6818365,
"pages": 30,
"shards": 2
},
{
"seconds": 0.9478092970002763,
"bytes": 253929,
"pages": 8,
"shards": 1
},
{
"seconds": 1.6955216110000038,
"bytes": 7314599,
"pages": 30,
"shards": 3
},
{
"seconds": 1.2749757900000986,
"bytes": 5237846,
"pages": 31,
"shards": 2
},
{
"seconds": 1.5798416210000141,
"bytes": 6237294,
"pages": 36,
"shards": 2
},
{
"seconds": 1.5424033700001019,
"bytes": 7705972,
"pages": 39,
"shards": 3
},
{
"seconds": 0.9795733470000414,
"bytes": 923741,
"pages": 28,
"shards": 2
},
{
"seconds": 1.5211821389984834,
"bytes": 18268501,
"pages": 39,
"shards": 5
},
{
"seconds": 1.3536671069996373,
"bytes": 6151717,
"pages": 36,
"shards": 2
},
{
"seconds": 1.1601749330002349,
"bytes": 883373,
"pages": 25,
"shards": 1
},
{
"seconds": 1.1801181450009608,
"bytes": 7664644,
"pages": 38,
"shards": 3
},
{
"seconds": 1.0472080479994474,
"bytes": 5473896,
"pages": 33,
"shards": 2
},
{
"seconds": 1.548700262001148,
"bytes": 13538856,
"pages": 41,
"shards": 4
},
{
"seconds": 1.3191421729989088,
"bytes": 5997715,
"pages": 32,
"shards": 2
},
{
"seconds": 1.765130539000893,
"bytes": 937778,
"pages": 29,
"shards": 1
},
{
"seconds": 2.7900099470007262,
"bytes": 11587181,
"pages": 37,
"shards": 4
},
{
"seconds": 0.987754063000466,
"bytes": 1220161,
"pages": 35,
"shards": 1
},
{
"seconds": 1.716705255999841,
"bytes": 6235687,
"pages": 36,
"shards": 2
},
{
"seconds": 33.88602663399979,
"bytes": 7355362,
"pages": 31,
"shards": 3
},
{
"seconds": 1.5573600560001069,
"bytes": 11648033,
"pages": 46,
"shards": 3
},
{
"seconds": 1.2928704839996499,
"bytes": 7315946,
"pages": 39,
"shards": 3
},
{
"seconds": 1.4081739580014982,
"bytes": 5891309,
"pages": 28,
"shards": 2
},
{
"seconds": 1.286470338000072,
"bytes": 2778002,
"pages": 37,
"shards": 2
},
{
"seconds": 1.1679330120005034,
"bytes": 10820666,
"pages": 37,
"shards": 3
},
{
"seconds": 1.4827527400011604,
"bytes": 6647922,
"pages": 30,
"shards": 2
},
{
"seconds": 1.248109399999521,
"bytes": 7422482,
"pages": 37,
"shards": 3
},
{
"seconds": 1.451942487999986,
"bytes": 6077412,
"pages": 30,
"shards": 2
}
],
"cache_key": {
"version": 1,
"kind": "data",
"gpu": {
"name": "NVIDIA RTX PRO 6000 Blackwell Server Edition",
"total_memory": 101975851008,
"capability": [
12,
0
]
},
"torch": "2.8.0+cu128",
"cuda": "12.8",
"python": "3.13.11",
"packages": {
"transformers": "4.57.1",
"numpy": "2.2.6",
"pyarrow": "21.0.0",
"huggingface_hub": "0.36.0"
},
"settings": {
"context": 2048,
"global_batch": 90,
"page_rows": 4096,
"cortex_page_rows": 128,
"mix": {
"climbmix": 40,
"ultra_qa": 15,
"ultra_style": 15,
"cortex": 15,
"openmath": 10,
"rewrite6": 5
},
"cpu_threads": 4
},
"source": "f8722b66ff2f92bca174f36564336149e85c65c48b964d05ff3a4d5d85da308f",
"cpu": "unknown",
"cpu_count": 20,
"microbatch": 90
},
"cache_reused": true,
"resume_probe_seconds": [
2.576500048000014,
0.012398547999964649
]
} |