RWKV7-G1k-7.2B-20260930 RWKV-7 “Goose” · constant-state recurrent language modeling The repository includes configurationrwkv7.py, modelingrwkv7.py, and the exact linear-time tokenizationrwkv7.py. The model modules are adapted from the Transformers RWKV-7 integration at commit 4ad9ed0. Review those files and pin a model-repository revision in production. Passing trustremotecode=True` selects this bundled implementation even when the local Transformers installation also provides native RWKV-7 support. The recurrent cache returned by the model can be passed back for incremental decoding. Use an attentionmask` for padded batches. The model defaults to the chunk-parallel WKV path for efficient multi-token prefill. To reproduce the portable token-order reference path, set model.config.wkvimplementation = «eager»` before the first forward pass. Chunked execution changes floating-point operation order, so small numerical differences from eager execution are expected. Set thinking=True for the RWKV thinking prefix. The intentional generation prefixes are Assistant: followed by a newline and Assistant: Strip trailing spaces from user input. The official RWKV prompt guide is available in…
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: RWKV
Теги: rwkv7, rwkv, recurrent, causal-lm, conversational, custom_code, en, zh
Лайков: 3 | Загрузок: 361
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
