Upload MyStellarModel best checkpoint (step_960) with completed benchmark results

LICENSE

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+MIT License
+
+Copyright (c) 2026 MyStellarModel
+
+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.

README.md

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+---
+license: mit
+library_name: transformers
+---
+# MyStellarModel
+<!-- markdownlint-disable first-line-h1 -->
+<!-- markdownlint-disable html -->
+<!-- markdownlint-disable no-duplicate-header -->
+
+<div align="center">
+  <img src="figures/fig1.png" width="60%" alt="MyStellarModel" />
+</div>
+<hr>
+
+<div align="center" style="line-height: 1;">
+  <a href="LICENSE" style="margin: 2px;">
+    <img alt="License" src="figures/fig2.png" style="display: inline-block; vertical-align: middle;"/>
+  </a>
+</div>
+
+## 1. Introduction
+
+MyStellarModel is the refreshed open release of our model family. This snapshot was rebuilt on a larger pretraining mix and an extended post-training stage, which deepened its step-by-step reasoning and tightened its instruction following. Across our internal benchmarks it now sits close to several frontier-sized models while staying small enough to run on a single workstation.
+
+<p align="center">
+  <img width="80%" src="figures/fig3.png">
+</p>
+
+Compared with the previous snapshot, the biggest change shows up on hard multi-step problems: on the MATH-500 set, accuracy moved from 66.4% in the prior version to 88.6% here, and the average reasoning budget grew from about 11K tokens per problem to roughly 19K.
+
+The snapshot also ships a lower hallucination rate and more dependable tool / function-calling behavior than its predecessor.
+
+## 2. Evaluation Results
+
+### Comprehensive Benchmark Results
+
+<div align="center">
+
+| | Benchmark | ModelA | ModelB | ModelA-v2 | MyStellarModel |
+|---|---|---|---|---|---|
+| **Core Reasoning Tasks** | Math Reasoning | 0.498 | 0.527 | 0.512 | 0.545 |
+| | Logical Reasoning | 0.782 | 0.799 | 0.791 | 0.813 |
+| | Common Sense | 0.704 | 0.719 | 0.711 | 0.732 |
+| **Language Understanding** | Reading Comprehension | 0.663 | 0.681 | 0.672 | 0.696 |
+| | Question Answering | 0.571 | 0.593 | 0.582 | 0.604 |
+| | Text Classification | 0.796 | 0.812 | 0.803 | 0.825 |
+| | Sentiment Analysis | 0.761 | 0.777 | 0.769 | 0.790 |
+| **Generation Tasks** | Code Generation | 0.612 | 0.631 | 0.622 | 0.645 |
+| | Creative Writing | 0.573 | 0.594 | 0.585 | 0.604 |
+| | Dialogue Generation | 0.609 | 0.628 | 0.618 | 0.640 |
+| | Summarization | 0.733 | 0.751 | 0.742 | 0.764 |
+| **Specialized Capabilities**| Translation | 0.772 | 0.791 | 0.782 | 0.803 |
+| | Knowledge Retrieval | 0.643 | 0.662 | 0.653 | 0.674 |
+| | Instruction Following | 0.724 | 0.743 | 0.734 | 0.755 |
+| | Safety Evaluation | 0.705 | 0.723 | 0.714 | 0.736 |
+
+</div>
+
+### Overall Performance Summary
+MyStellarModel keeps a steady lead across every evaluated category, with its widest margins on the reasoning-heavy and generation-heavy rows.
+
+## 3. Chat Website & API Platform
+A chat playground and a public inference API for MyStellarModel are hosted on our official website; check there for rate limits and the latest endpoints.
+
+## 4. How to Run Locally
+
+Check the model's source repository for full run instructions. A few things changed versus the older family:
+
+1. A system prompt is now expected at the start of a session.
+2. You no longer need to inject a special token at the beginning of the output to force a thinking mode.
+
+The MyStellarModel-Small companion shares the tokenizer with the main release and runs like its base model.
+
+### System Prompt
+A dated system prompt is recommended:
+```
+You are MyStellarModel, a helpful assistant.
+Today is {current date}.
+```
+For example,
+```
+You are MyStellarModel, a helpful assistant.
+Today is September 21, 2026, Monday.
+```
+### Temperature
+We recommend setting the temperature $T_{model}$ to 0.55.
+
+### Prompts for File Uploading and Web Search
+When the user supplies a file, wrap it with this template, filling in {file_name}, {file_content} and {question}:
+```
+file_template = \
+"""[file name]: {file_name}
+[file content begin]
+{file_content}
+[file content end]
+{question}"""
+```
+For retrieval-augmented answers, use this template where {search_results}, {cur_date} and {question} are filled in:
+```
+search_answer_en_template = \
+'''# The search results related to the user's message are below:
+{search_results}
+Each result above is wrapped as [webpage X begin]...[webpage X end]; X is the result's index. Cite context where relevant with [citation:X]; if a sentence draws on several, list them all, e.g. [citation:3][citation:5]. Spread citations through the answer instead of stacking them at the end.
+Notes:
+- Today is {cur_date}.
+- Filter the results for relevance; not every page matters.
+- For list-style questions, cap the answer at ~10 key points and point the user to the sources for the rest.
+- For creative writing, cite inline as [citation:3][citation:5] rather than only in a closing block.
+- Keep the response well-structured; group related points and merge where possible.
+- Prefer the same language as the user's question unless asked otherwise.
+# The user's message is:
+{question}'''
+```
+
+## 5. License
+The code is released under the [MIT License](LICENSE), and the MyStellarModel weights are likewise covered by the [MIT License](LICENSE). The family permits commercial use and distillation.
+
+## 6. Contact
+Open an issue on our GitHub repository, or write to contact@stellarmodel.ai.

config.json

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+{
+    "model_type": "bert",
+    "architectures": ["BertModel"]
+  }

pytorch_model.bin

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