Piko-9b Copyright 2026 Dexy This product includes software and model weights developed by third parties. Piko-9b is not trained from scratch: its published weights are a tensor-level composition of two upstream checkpoints. Both upstream licences apply to the corresponding portions of the weights and must be preserved in redistribution. ================================================================================ 1. Language backbone — 9,197,093,888 parameters (427 tensors) ================================================================================ Derived, through a chain of QLoRA fine-tunes, from: deepreinforce-ai/Ornith-1.0-9B https://huggingface.co/deepreinforce-ai/Ornith-1.0-9B Licensed under the MIT License. MIT License Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. ================================================================================ 2. Vision tower and merger — 456,010,480 parameters (348 tensors) ================================================================================ Copied verbatim, without modification or further training, from: Qwen/Qwen3.5-9B https://huggingface.co/Qwen/Qwen3.5-9B Copyright 2026 Alibaba Cloud / Qwen Team Licensed under the Apache License, Version 2.0. ================================================================================ 3. Tokenizer, vocabulary, chat template and processor configuration ================================================================================ Derived from the Qwen3.5 tokenizer and processor configuration (Qwen/Qwen3.5-9B), Apache License, Version 2.0. ================================================================================ Licence compatibility ================================================================================ The MIT License is compatible with redistribution of the combined work under the Apache License, Version 2.0, provided the MIT copyright notice and permission notice above are retained. That is the purpose of this file. You may obtain a copy of the Apache License at: http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. ================================================================================ Training data ================================================================================ The QLoRA fine-tuning stages that produced the language backbone used datasets whose individual licences are not fully documented in this repository. Dataset manifests record category names and row counts, but several upstream sources are identified only by local filename. This is recorded as an unresolved provenance gap in reports/repository_audit.md rather than asserted to be clear.