Use
Requires vLLM ≥ 0.30.0. Older builds return wrong answers when several long requests are batched together on
this hybrid (Gated DeltaNet) architecture.
hf download caiovicentino1/Eikos-4B-FP8 --local-dir Eikos-4B-FP8bash Eikos-4B-FP8/serve_vllm.sh $PWD/Eikos-4B-FP8 8001 # vLLM engine: letter readout + hybrid prefix cachepython Eikos-4B-FP8/serve.py --model $PWD/Eikos-4B-FP8 --vllm-url http://127.0.0.1:8001 --port 8000 # HTTP API on :8000
The HTTP API, agent sessions and the question types are the same as for Eikos-4B.
Validation against bf16
Same 7,371 items for both builds (7 suites, never used in training), vLLM 0.30 with batching and prefix cache on.
The release gate was fixed before looking at results: accuracy within 1 point of bf16, ECE within 0.01, and at
least 97% of answers unchanged.
Table with columns: Eikos-4B (bf16), Eikos-4B-FP8 | Eikos-4B (bf16) | Eikos-4B-FP8 |
|---|
| Size | 9.3 GB | 5.8 GB |
| JevBench public — original / hard | 91.7 / 73.9 | 90.3 / 73.0 |
| DecisionBench — medium / hard | 77.1 / 66.6 | 78.5 / 66.6 |
| General battery (9 tasks) | 75.7 | 75.8 |
| Finance (CUAD, sentiment, FinQA-judge) | 74.7 | 75.2 |
| Trade rules — seen / unseen | 74.5 / 76.0 | 74.7 / 76.0 |
| Compositional rules — same type / new domain / rulebooks | 96.0 / 91.5 / 91.7 | 95.6 / 91.8 / 91.3 |
| ECE (lower is better) | 0.033 | 0.031 |
| ≥0.90 confidence: decides / error | 34.7% / 2.5% | 34.8% / 2.5% |
| Same answer as bf16 (all / confident ≥0.9) | — | 97.3% / 100.0% |
It passes our release gate.
License
MIT for our contributions (LICENSE). The base model, Qwen3.5-4B, is Apache-2.0 (LICENSE-Qwen);
attributions are in NOTICE. Not legal, tax or investment advice.