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 TensorBoard training metrics
Browse files- benchmark_cache/performance.json +4 -4
- benchmark_cache/shard_scheduler.json +30 -121
- runs/void-byte-v1/events.out.tfevents.1790911926.4dec8a9d-3312-413a-9119-9058bec1adb7-bx5st.444.0.1790911926322536473-f9bff804 +2 -2
- runs/void-byte-v1/events.out.tfevents.1790914434.4dec8a9d-3312-413a-9119-9058bec1adb7-bx5st.8214.0.1790914434605211575-090606d4 +3 -0
benchmark_cache/performance.json
CHANGED
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"selected": {
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"microbatch": 90,
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"mode": "compiled",
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"microbatch_seconds": 0.
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"peak_gb": 89.
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"fits_budget": true,
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"measurements": [
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{
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"selected": {
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"microbatch": 90,
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"mode": "compiled",
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"microbatch_seconds": 0.9387972919998901,
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"peak_gb": 89.37766551971436,
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"fits_budget": true,
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"estimated_update_seconds": 0.9387972919998901,
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"input_tokens_per_second": 196336.31410178967
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},
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"measurements": [
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{
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benchmark_cache/shard_scheduler.json
CHANGED
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@@ -22,8 +22,8 @@
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"tokens_per_second": 598315.063954628,
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"note": "Bounded fresh sample; full-page latency is an extrapolation.",
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"estimated_pages_for_buffer": 1,
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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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"source": "rewrite6",
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"tokens_per_second": 8533.957213384612,
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"note": "Bounded fresh sample; full-page latency is an extrapolation.",
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"estimated_pages_for_buffer": 1,
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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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"source": "openmath",
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"tokens_per_second": 380144.35761751566,
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"note": "Bounded fresh sample; full-page latency is an extrapolation.",
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"estimated_pages_for_buffer": 1,
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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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"source": "ultra_qa",
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@@ -64,8 +64,8 @@
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"tokens_per_second": 43742.16556775435,
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"note": "Bounded fresh sample; full-page latency is an extrapolation.",
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"estimated_pages_for_buffer": 1,
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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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"source": "ultra_style",
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"tokens_per_second": 22018.86276523721,
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"note": "Bounded fresh sample; full-page latency is an extrapolation.",
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"estimated_pages_for_buffer": 1,
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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",
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"read_seconds": 0.04061180899998362,
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"tokens_per_second": 910315.184299418,
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"note": "Bounded fresh sample; full-page latency is an extrapolation.",
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"estimated_pages_for_buffer":
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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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@@ -155,121 +155,30 @@
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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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"estimated_fresh_generation_batch_seconds": 2.558590814491007,
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"selected": {
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-
"prefetch_batches":
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"prefetch_capacity_limit": 512,
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"batch_memory_estimate_bytes": 704566,
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"producer_batch_seconds": 0.
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"producer_p95_seconds":
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"gpu_update_seconds": 0.
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"producer_batches_per_second":
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"gpu_batches_per_second": 1.
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"producer_headroom":
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"sustainable": true,
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"buffer_seconds": 60.
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"buffer_drain_seconds": null,
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"shard_target_mib": 16,
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"generation_bytes_per_second":
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"upload_bytes_per_second":
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"upload_sustainable":
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"logical_page_rows": 4096,
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"logical_cortex_page_rows": 128,
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"estimated_full_shards_per_hour":
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"selection_policy": "Smallest shard within 90% of measured local peak, enlarged to amortize 30 seconds of measured page production; bounded to 256 MiB."
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},
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"upload_measurements": [
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{
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"seconds": 0.9475190029999112,
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"bytes": 21104,
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"pages": 1,
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"shards": 1
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{
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"seconds": 1.029576297999938,
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"bytes": 6528629,
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"pages": 37,
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"shards": 3
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{
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"seconds": 1.0352755850000221,
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"bytes": 6365146,
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"pages": 35,
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"shards": 2
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},
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{
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"seconds": 1.1308769879999545,
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"bytes": 6215001,
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"pages": 35,
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"shards": 2
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},
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{
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"seconds": 1.016927755999859,
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"bytes": 7382400,
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"pages": 32,
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"shards": 3
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},
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{
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"seconds": 1.1139478459999737,
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"bytes": 6306186,
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"pages": 35,
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"shards": 2
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{
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"seconds": 1.1660128299999997,
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"bytes": 8072363,
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"pages": 31,
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"shards": 3
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{
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"seconds": 0.9177546119999533,
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"bytes": 6210206,
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"pages": 37,
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"shards": 2
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},
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{
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"seconds": 1.1674345439998888,
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"bytes": 5990051,
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"pages": 36,
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"shards": 2
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},
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{
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"seconds": 1.0493045279999933,
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"bytes": 6091029,
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"pages": 31,
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"shards": 3
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},
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{
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"seconds": 1.0872325649997947,
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"bytes": 6195111,
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"pages": 35,
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"shards": 2
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},
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{
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"seconds": 1.1556296060000477,
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"bytes": 7640700,
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"pages": 37,
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"shards": 3
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},
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{
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"seconds": 1.6995113520001723,
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"bytes": 11765053,
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"pages": 37,
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"shards": 3
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},
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{
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"seconds": 1.1097027079999862,
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"bytes": 5584212,
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"pages": 18,
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"shards": 3
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},
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{
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"seconds": 0.8796039100002417,
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"bytes": 875964,
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"pages": 25,
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"shards": 1
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}
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],
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"cache_key": {
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"version": 1,
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"kind": "data",
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@@ -312,7 +221,7 @@
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},
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"cache_reused": true,
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"resume_probe_seconds": [
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0.
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]
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}
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"tokens_per_second": 598315.063954628,
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"note": "Bounded fresh sample; full-page latency is an extrapolation.",
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| 24 |
"estimated_pages_for_buffer": 1,
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"required_token_positions_per_second": 78534.52564071587,
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"required_pages_per_second_upper_estimate": 0.005433200709029944
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{
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"source": "rewrite6",
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"tokens_per_second": 8533.957213384612,
|
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"note": "Bounded fresh sample; full-page latency is an extrapolation.",
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| 38 |
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"required_token_positions_per_second": 9816.815705089484,
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{
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"source": "openmath",
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"tokens_per_second": 380144.35761751566,
|
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"note": "Bounded fresh sample; full-page latency is an extrapolation.",
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"estimated_pages_for_buffer": 1,
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"required_token_positions_per_second": 19633.63141017897,
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{
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"source": "ultra_qa",
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"tokens_per_second": 43742.16556775435,
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"note": "Bounded fresh sample; full-page latency is an extrapolation.",
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"required_token_positions_per_second": 29450.447115268453,
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},
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{
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"source": "ultra_style",
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"tokens_per_second": 22018.86276523721,
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"note": "Bounded fresh sample; full-page latency is an extrapolation.",
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"estimated_pages_for_buffer": 1,
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"required_token_positions_per_second": 29450.447115268453,
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"required_pages_per_second_upper_estimate": 0.0022896427243853474
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},
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{
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"source": "cortex",
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"read_seconds": 0.04061180899998362,
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"tokens_per_second": 910315.184299418,
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"note": "Bounded fresh sample; full-page latency is an extrapolation.",
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"estimated_pages_for_buffer": 23,
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"required_pages_per_second_upper_estimate": 0.3777587141682181
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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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"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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"estimated_fresh_generation_batch_seconds": 2.558590814491007,
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"selected": {
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"prefetch_batches": 64,
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"prefetch_capacity_limit": 512,
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"batch_memory_estimate_bytes": 704566,
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"producer_batch_seconds": 0.5166098065001279,
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"producer_p95_seconds": 1.0198370660000364,
|
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"gpu_update_seconds": 0.9387972919998901,
|
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"producer_batches_per_second": 1.9356968981574152,
|
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"gpu_batches_per_second": 1.0651926763334945,
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"producer_headroom": 1.8172270061227684,
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"sustainable": true,
|
| 168 |
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"buffer_seconds": 60.08302668799297,
|
| 169 |
"buffer_drain_seconds": null,
|
| 170 |
"shard_target_mib": 16,
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"upload_pages_per_commit": 6,
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"max_pending_pages": 1409,
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"generation_bytes_per_second": 0,
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"upload_bytes_per_second": null,
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"upload_sustainable": null,
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"logical_page_rows": 4096,
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"logical_cortex_page_rows": 128,
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+
"estimated_full_shards_per_hour": 0.0,
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"selection_policy": "Smallest shard within 90% of measured local peak, enlarged to amortize 30 seconds of measured page production; bounded to 256 MiB."
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},
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+
"upload_measurements": [],
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"cache_reused": true,
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1.0198370660000364,
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0.013382547000219347
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}
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runs/void-byte-v1/events.out.tfevents.1790911926.4dec8a9d-3312-413a-9119-9058bec1adb7-bx5st.444.0.1790911926322536473-f9bff804
CHANGED
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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| 1 |
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:9f4090409a7448269c74e968500f42d7054197055940ea304626794b24deb832
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| 3 |
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size 47544
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runs/void-byte-v1/events.out.tfevents.1790914434.4dec8a9d-3312-413a-9119-9058bec1adb7-bx5st.8214.0.1790914434605211575-090606d4
ADDED
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@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:5356faa0adeaba6bfd62481fbb41ede121a078b8974810c8b7d7271925370cae
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| 3 |
+
size 165
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