初始化项目，由ModelHub XC社区提供模型

Model: KSP-NMAI/boris-125M-superlight-cubscout
Source: Original Platform

README.md

@@ -0,0 +1,54 @@
+---
+license: apache-2.0
+datasets:
+- roneneldan/TinyStories
+language:
+- en
+library_name: transformers
+tags:
+- base-model
+---
+
+![boris](boris-125M.png)
+# boris-125M-superlight-cubscout
+
+boris-125M-superlight-cubscout (Boris) is a lightweight, ~125M parameter text generation model trained entirely on the roneneldan/TinyStories dataset.
+
+It was developed entirely on one NVIDIA RTX 3060 in ~2.5 days. Boris's primary use case is generating bad children's short stories.
+
+---
+
+## Traning Details:
+
+- Trained on TinyStories (43,395 steps)
+- Trained using one NVIDIA RTX 3060 (12GB VRAM)
+- Precision: FP16
+- Final Traning Loss: ~1.66
+
+---
+
+## Advice:
+
+2. This is a **base model**, and does not know how to stop. Add stop sequences like "the end." or ###
+
+---
+
+## Evaluation Results:
+
+**Final Training Loss: ~1.66** TinyStories (Train)
+
+---
+
+## Copyright & License:
+
+*Copyright 2026 Joseph Jones*
+
+This project and all associated files (the "Work") are licensed under the Apache License, Version 2.0 (the "License"); you may not use this project except in compliance with the License. You may obtain a copy of the 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.