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
ADDED
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| 1 |
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{
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"cache_key": {
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"version": 1,
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"kind": "gpu",
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"gpu": {
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"name": "NVIDIA RTX PRO 6000 Blackwell Server Edition",
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"torch": "2.8.0+cu128",
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"cuda": "12.8",
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"packages": {
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],
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"failures": [
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{
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{
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{
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"reason": "oom"
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}
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],
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"selection_policy": "max_batch",
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| 219 |
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"budget_gb": 89.6964394569397,
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| 220 |
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"reserve_gb": 2.1791439056396484,
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| 221 |
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"note": "Forward/backward throughput; excludes optimizer, data, logging and checkpoint time."
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| 222 |
+
}
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benchmark_cache/shard_scheduler.json
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| 1 |
+
{
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| 2 |
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| 3 |
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|
| 4 |
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| 5 |
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| 6 |
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0.012736249999989013,
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| 7 |
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| 10 |
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| 11 |
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| 12 |
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| 14 |
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| 16 |
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| 22 |
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| 23 |
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| 24 |
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| 25 |
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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| 30 |
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| 31 |
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| 33 |
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| 34 |
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| 36 |
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| 37 |
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"note": "Bounded fresh sample; full-page latency is an extrapolation.",
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| 38 |
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| 39 |
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| 40 |
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| 41 |
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},
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| 42 |
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{
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| 43 |
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| 44 |
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| 45 |
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| 46 |
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| 47 |
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| 48 |
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| 49 |
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| 50 |
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| 51 |
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| 52 |
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| 53 |
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| 54 |
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| 55 |
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| 56 |
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| 57 |
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| 58 |
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| 59 |
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| 64 |
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| 65 |
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"note": "Bounded fresh sample; full-page latency is an extrapolation.",
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| 66 |
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| 69 |
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"note": "Bounded fresh sample; full-page latency is an extrapolation.",
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{
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"source": "cortex",
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| 86 |
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| 94 |
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| 100 |
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| 101 |
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| 102 |
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128,
|
| 106 |
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256
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| 107 |
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| 108 |
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| 109 |
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|
| 111 |
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| 113 |
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| 117 |
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| 118 |
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| 119 |
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|
| 120 |
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{
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| 129 |
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| 135 |
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| 136 |
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{
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| 137 |
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| 138 |
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| 139 |
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| 143 |
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| 144 |
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},
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| 145 |
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{
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| 146 |
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|
| 147 |
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| 148 |
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| 154 |
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],
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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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| 156 |
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"torch": "2.8.0+cu128",
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| 201 |
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| 209 |
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| 212 |
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| 213 |
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| 214 |
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| 216 |
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| 222 |
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| 223 |
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"source": "f8722b66ff2f92bca174f36564336149e85c65c48b964d05ff3a4d5d85da308f",
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|
| 229 |
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"cache_reused": false
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| 230 |
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}
|
runs/void-byte-v1/events.out.tfevents.1790390190.c8125a87-1345-4bfd-b42f-0e32ed8b7bb7-6w295.451.0.1790390190216476996-4d8dc439
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a10197bec45f649a59459d8677528d5ac83c3578cace0d8df7d92c9d62088448
|
| 3 |
+
size 161
|