project

Halo

Distributed training and post-training framework from White Circle that adds expert, context, tensor and expert-tensor parallelism to Hugging Face models and saves ordinary SafeTensors checkpoints. Released under Apache 2.0 with supplemental commercial terms.

Known aliases

Halo 1.0

Relationships

No evidence-backed relationships are recorded.

Current clusters

build1 publisher

White Circle publishes the harness behind Halo's 2.3x TRL throughput claim

Halo adds expert and tensor parallelism to Hugging Face models and still saves SafeTensors that from_pretrained can load. Its best number, 9,009 tokens per second per GPU against TRL's 3,885, came from synthetic fixed-length sequences.

Publishers:runtimewire.com

Reality

Evidence45
Adoption14
Hype gap+22
Incentives72
Confidence56