OLMoE-1B-7B-0924 — INT8 W8A8
I converted AllenAI's OLMoE-1B-7B-0924 to INT8 W8A8 using llmcompressor. The attention and expert projections use 8-bit weights and dynamic 8-bit activations. I kept the routing gates, embeddings, normalization and output head in BF16.
I tested the checkpoint in vLLM 0.30.0 on a single RTX 3090, including prompt processing and token-by-token generation. I used eager execution and disabled the optional FlashInfer sampler. The four weight shards total about 6.7 GiB.
I used data-free round-to-nearest quantization, without a calibration dataset. I haven't run formal accuracy or throughput benchmarks.