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Rama main · réplica de lectura del repositorio original.

Archivo original ↗Preguntar a KiBot
Wald-4B
Copyright 2026 the Wald-4B authors

The weights and the serving code in this repository are licensed under the Apache License, Version 2.0 (see LICENSE).

Base model
  The v2 weights (checkpoint 04701-c22) are derived from Qwen/Qwen3.5-4B (https://huggingface.co/Qwen/Qwen3.5-4B,
  revision 851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a), licensed under the Apache License, Version 2.0, copyright the Qwen team, Alibaba Cloud.
  chat_template.jinja is that model's chat template. Its licence and notices continue to apply. The v1.x weights at
  the tags v1.0-v1.2 are derived from Qwen/Qwen3.5-4B-Base under the same licence.

Third-party code and text
  server/src/wald_serve/wire.py and reference/kev/api.py (also server/src/wald_serve/native_reference/kev/api.py)
  adapt the request models and the state / option rendering of Kev (https://github.com/jaredpalmer/kev), Copyright
  Jared Palmer, licensed under the Apache License, Version 2.0.

  server/src/wald_serve/prompt.py and reference/eval/systemone_vllm.py contain prompt sentences copied verbatim from
  simple-jev (https://github.com/featherless-ai/simple-jev, commit dae340e, hf-server/hf_prompt_policies.py), licensed
  under the Apache License, Version 2.0. v2's `repeat_state_plain` format uses only the STATE_REPEAT sentence.

  evaluation/v2/code/ is the adapter and runner used with the Decision Index kit
  (https://github.com/apolinario/decision-index, MIT); the kit itself is not included.

Training data
  The training data includes synthetic data generated and/or labelled by large frontier models and public datasets
  with their own terms; see PROVENANCE.md. The weights and code licence does not grant rights in third-party training
  texts. No benchmark items or training data are included here.