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 160000; complete resumable checkpoint
Browse files- complete.json +7 -7
- coverage.json +48 -48
- latest.json +1 -1
- model.safetensors +1 -1
- performance.json +3 -3
- shard_scheduler.json +71 -359
- trainer.pt +2 -2
- training_config.json +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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| 68 |
-
"required_pages_per_second_upper_estimate": 0.
|
| 69 |
},
|
| 70 |
{
|
| 71 |
"source": "ultra_style",
|
|
@@ -78,8 +78,8 @@
|
|
| 78 |
"tokens_per_second": 1546694.2737633225,
|
| 79 |
"note": "Bounded fresh sample; full-page latency is an extrapolation.",
|
| 80 |
"estimated_pages_for_buffer": 1,
|
| 81 |
-
"required_token_positions_per_second":
|
| 82 |
-
"required_pages_per_second_upper_estimate": 0.
|
| 83 |
},
|
| 84 |
{
|
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"source": "cortex",
|
|
@@ -91,9 +91,9 @@
|
|
| 91 |
"read_seconds": 0.042780299000014566,
|
| 92 |
"tokens_per_second": 1015177.8395898147,
|
| 93 |
"note": "Bounded fresh sample; full-page latency is an extrapolation.",
|
| 94 |
-
"estimated_pages_for_buffer":
|
| 95 |
-
"required_token_positions_per_second":
|
| 96 |
-
"required_pages_per_second_upper_estimate": 0.
|
| 97 |
}
|
| 98 |
],
|
| 99 |
"gpu_measurement": "Selected forward/backward estimate; replaced by live successful update timings.",
|
|
@@ -155,413 +155,125 @@
|
|
| 155 |
"shard_benchmark_scope": "Local packing/read measurements; upload capacity measured only on real data commits. Targets larger than available pages are sample-limited.",
|
| 156 |
"estimated_fresh_generation_batch_seconds": 0.1434574083060457,
|
| 157 |
"selected": {
|
| 158 |
-
"prefetch_batches":
|
| 159 |
"prefetch_capacity_limit": 512,
|
| 160 |
"batch_memory_estimate_bytes": 688946,
|
| 161 |
-
"producer_batch_seconds": 0.
|
| 162 |
-
"producer_p95_seconds": 0.
|
| 163 |
-
"gpu_update_seconds": 0.
|
| 164 |
-
"producer_batches_per_second":
|
| 165 |
-
"gpu_batches_per_second": 1.
|
| 166 |
-
"producer_headroom":
|
| 167 |
"sustainable": true,
|
| 168 |
-
"buffer_seconds": 60.
|
| 169 |
"buffer_drain_seconds": null,
|
| 170 |
"shard_target_mib": 16,
|
| 171 |
-
"upload_pages_per_commit":
|
| 172 |
"max_pending_pages": 4096,
|
| 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": [
|
| 182 |
{
|
| 183 |
-
"seconds": 1.
|
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"cache_key": {
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|
@@ -606,7 +318,7 @@
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| 606 |
},
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}
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|
| 22 |
"tokens_per_second": 1062967.6168812835,
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| 24 |
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},
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{
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"source": "rewrite6",
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| 36 |
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|
| 37 |
"note": "Bounded fresh sample; full-page latency is an extrapolation.",
|
| 38 |
"estimated_pages_for_buffer": 1,
|
| 39 |
+
"required_token_positions_per_second": 9486.947071131572,
|
| 40 |
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"required_pages_per_second_upper_estimate": 0.0037844850291732773
|
| 41 |
},
|
| 42 |
{
|
| 43 |
"source": "openmath",
|
|
|
|
| 50 |
"tokens_per_second": 410042.7581134458,
|
| 51 |
"note": "Bounded fresh sample; full-page latency is an extrapolation.",
|
| 52 |
"estimated_pages_for_buffer": 1,
|
| 53 |
+
"required_token_positions_per_second": 18973.894142263143,
|
| 54 |
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"required_pages_per_second_upper_estimate": 0.0043892764806807705
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| 55 |
},
|
| 56 |
{
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| 57 |
"source": "ultra_qa",
|
|
|
|
| 64 |
"tokens_per_second": 2163486.5624068812,
|
| 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": 28460.841213394717,
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| 68 |
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"required_pages_per_second_upper_estimate": 0.0017331159074021418
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| 69 |
},
|
| 70 |
{
|
| 71 |
"source": "ultra_style",
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|
|
|
| 78 |
"tokens_per_second": 1546694.2737633225,
|
| 79 |
"note": "Bounded fresh sample; full-page latency is an extrapolation.",
|
| 80 |
"estimated_pages_for_buffer": 1,
|
| 81 |
+
"required_token_positions_per_second": 28460.841213394717,
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| 82 |
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"required_pages_per_second_upper_estimate": 0.002190994341258046
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| 83 |
},
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| 84 |
{
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| 85 |
"source": "cortex",
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| 91 |
"read_seconds": 0.042780299000014566,
|
| 92 |
"tokens_per_second": 1015177.8395898147,
|
| 93 |
"note": "Bounded fresh sample; full-page latency is an extrapolation.",
|
| 94 |
+
"estimated_pages_for_buffer": 22,
|
| 95 |
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| 96 |
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"required_pages_per_second_upper_estimate": 0.35338839556222257
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| 97 |
}
|
| 98 |
],
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| 99 |
"gpu_measurement": "Selected forward/backward estimate; replaced by live successful update timings.",
|
|
|
|
| 155 |
"shard_benchmark_scope": "Local packing/read measurements; upload capacity measured only on real data commits. Targets larger than available pages are sample-limited.",
|
| 156 |
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| 157 |
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|
| 158 |
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"prefetch_batches": 62,
|
| 159 |
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|
| 160 |
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| 161 |
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| 162 |
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"producer_p95_seconds": 0.1841241980000632,
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"gpu_update_seconds": 0.9714400144640783,
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| 164 |
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"producer_batches_per_second": 1.935590090737235,
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| 165 |
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"gpu_batches_per_second": 1.0293996387946585,
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| 166 |
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"producer_headroom": 1.8803096657423064,
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| 167 |
"sustainable": true,
|
| 168 |
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"buffer_seconds": 60.229280896772856,
|
| 169 |
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|
| 171 |
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"upload_pages_per_commit": 76,
|
| 172 |
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|
| 173 |
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"generation_bytes_per_second": 394137.7785946498,
|
| 174 |
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"upload_bytes_per_second": 4508842.591861955,
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| 175 |
"upload_sustainable": true,
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| 176 |
"logical_page_rows": 4096,
|
| 177 |
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|
| 178 |
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"estimated_full_shards_per_hour": 84.57279222850438,
|
| 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": [
|
| 182 |
{
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| 183 |
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"seconds": 1.0642098359999181,
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| 184 |
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"bytes": 45649,
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| 186 |
"shards": 1
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| 187 |
},
|
| 188 |
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| 189 |
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"seconds": 1.2323853809998582,
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"bytes": 7278265,
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| 192 |
"shards": 3
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| 197 |
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| 198 |
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| 199 |
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| 200 |
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| 201 |
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"seconds": 1.1868087180000657,
|
| 202 |
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"bytes": 11845509,
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| 203 |
"pages": 35,
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| 204 |
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"shards": 4
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| 205 |
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| 206 |
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| 207 |
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"seconds": 0.9347497089997887,
|
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"bytes": 6852819,
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| 210 |
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| 213 |
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"seconds": 1.0938459449998845,
|
| 214 |
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"bytes": 6142145,
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"pages": 35,
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| 216 |
"shards": 2
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| 217 |
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| 218 |
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| 219 |
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"seconds": 1.2391148739998243,
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| 220 |
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"bytes": 7141661,
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|
| 222 |
"shards": 3
|
| 223 |
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|
| 224 |
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| 225 |
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"seconds": 3.5350073540002995,
|
| 226 |
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"bytes": 5274454,
|
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"pages": 34,
|
| 228 |
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| 230 |
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| 231 |
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"seconds": 1.0228857370002515,
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"bytes": 6079721,
|
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"pages": 34,
|
| 234 |
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| 236 |
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"seconds": 1.587895904999641,
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| 238 |
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"bytes": 7946846,
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|
| 239 |
"pages": 38,
|
| 240 |
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|
| 241 |
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|
| 242 |
{
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| 243 |
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"seconds": 1.0177612440002122,
|
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"bytes": 6784132,
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"pages": 31,
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"shards": 2
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| 248 |
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"seconds": 1.3712029609996534,
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"bytes": 12398330,
|
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"pages": 38,
|
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| 254 |
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"seconds": 0.7755766290001702,
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"bytes": 1144894,
|
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|
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| 260 |
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| 261 |
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"seconds": 1.4222684020005545,
|
| 262 |
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"bytes": 6265294,
|
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"pages": 27,
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|
| 264 |
"shards": 2
|
| 265 |
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|
| 266 |
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| 267 |
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"seconds": 0.9120372190000126,
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|
| 270 |
"shards": 2
|
| 271 |
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|
| 272 |
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|
| 273 |
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"seconds": 1.6420339440001044,
|
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"bytes": 5755818,
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"pages": 29,
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|
| 276 |
"shards": 2
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|
| 277 |
}
|
| 278 |
],
|
| 279 |
"cache_key": {
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|
| 318 |
},
|
| 319 |
"cache_reused": true,
|
| 320 |
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|
| 321 |
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|
| 322 |
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|
| 323 |
]
|
| 324 |
}
|
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 sha256:58b1a9a87c98368688872d521c56ed9c3b9c63110540b20f692c5f45af15e7f4
|
| 3 |
+
size 721773183
|
training_config.json
CHANGED
|
@@ -46,8 +46,8 @@
|
|
| 46 |
"cpu_threads": 4,
|
| 47 |
"page_rows": 4096,
|
| 48 |
"cortex_page_rows": 128,
|
| 49 |
-
"prefetch_batches":
|
| 50 |
-
"prefetch_low_water":
|
| 51 |
"memory_pages": 12,
|
| 52 |
"cache_gb": 20,
|
| 53 |
"force_rebenchmark": false,
|
|
|
|
| 46 |
"cpu_threads": 4,
|
| 47 |
"page_rows": 4096,
|
| 48 |
"cortex_page_rows": 128,
|
| 49 |
+
"prefetch_batches": 62,
|
| 50 |
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"prefetch_low_water": 31,
|
| 51 |
"memory_pages": 12,
|
| 52 |
"cache_gb": 20,
|
| 53 |
"force_rebenchmark": false,
|