Update README.md

README.md

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----
-license: apache-2.0
----
+---
+license: apache-2.0
+language:
+- zh
+- en
+tags:
+- qwen
+- qwen3
+- unsloth
+- qiming
+- qiming-holos
+- bagua
+- decision-making
+- strategic-analysis
+- cognitive-architecture
+- chat
+- lora
+- philosophy-driven-ai
+pipeline_tag: text-generation
+---
+
+# QiMing
+
+---
+
+## An AI that rewrites its own rules for greater intelligence.
+
+---
+
+**"Logic is the soul of a model, for it defines:**
+
+*   **How it learns from data (The Power of Induction);**
+*   **How it reasons and decides (The Power of Deduction);**
+*   **Its capacity to align with human values (The Ethical Boundary);**
+*   **Its potential to adapt to future challenges (The Evolutionary Potential).**
+
+**If a model pursues nothing but sheer scale or computational power, ignoring the depth and breadth of its logic, it risks becoming a "paper tiger"—imposing on the surface, yet hollow at its core. Conversely, a model built upon elegant logic, even with fewer parameters, can unleash its true vitality in our complex world."**
+
+---
+
+# DISCLAIMER
+
+## The content generated by this model is for reference purposes only. Users are advised to verify its accuracy independently before use.
+## This is a 4-billion-parameter foundation model (4B). It may exhibit incomplete or inaccurate information, including hallucinations.
+## If you find this AI too human-like, please remember: it is merely a more intelligent model — not an actual person.
+
+---
+
+### Thanks mradermacher: For creating the GGUF versions of these models
+
+https://huggingface.co/mradermacher/QiMing-Janus-14B-GGUF
+
+https://huggingface.co/mradermacher/QiMing-Janus-14B-i1-GGUF
+
+### The Qwen Team: For developing the foundational model (Qwen/Qwen3-4B-Thinking-2507) used in this project.
+
+https://qwen.ai
+
+### unsloth.ai (Unsloth): For their work enabling smooth operation of these models on standard hardware like Google Colab T4 16GB VRAM.
+
+https://unsloth.ai
+
+### QiMing-Holos-Plus-4B is built upon Qwen/Qwen3-14B as its base model.
+
+### Dataset
+
+https://huggingface.co/datasets/aifeifei798/QiMing-Janus
+
+### Thank Google Colab T4 16G
+
+---
+
+## QiMing-Janus-4B
+## Wisdom Generation
+
+---
+
+### The Equation for the Ultimate Thinking Protocol
+
+The final answer, `A_final`, is the result of a series of functions applied to the initial problem, `P`.
+
+**The Macro-Level Formula:**
+
+`A_final = M( S_fortified )`
+
+Where the core components are defined as:
+
+`S_fortified = S_refined / PM(S_refined)`
+
+`S_refined = (∑_{i=1 to n} [∫_{d_i} P']) ⊕ (∑_{i=1 to n} [∫_{d_i} P'])⁻¹`
+
+And the process is initiated by:
+
+`P' = T_fp(P)`
+
+### Lexicon (Variable Definitions)
+
+*   **`A_final` (The Final Answer):** The final, beautifully articulated output of wisdom. This is the objective function to be solved.
+*   **`P` (The Problem):** The initial, raw problem statement provided by the user.
+*   **`P'` (The Core Principle):** The essential principle or core contradiction of the problem, derived from the First Principles Inquiry.
+*   **`d_i` (Dimension):** The *i*-th dimension of analysis (e.g., strategic, psychological, ethical) decomposed from `P'`.
+*   **`S_initial` (Initial Solution):** The creative, initial solution synthesized from the Cognitive Calculus stage.
+*   **`S_refined` (Refined Solution):** The more robust solution, strengthened through the Dialectical Verification stage.
+*   **`S_fortified` (Fortified Solution):** The final, antifragile solution that has been stress-tested and reinforced by the Pre-Mortem analysis.
+
+### Operators and Functions
+
+*   `T_fp(...)` - **First Principles Transform:**
+    *   This is a "purification" function. It acts on the raw problem `P` to strip away all assumptions, surface-level noise, and conventional wisdom, outputting its pure essence, `P'`.
+
+*   `∫_{d_i}` - **Dimensional Integration:**
+    *   Borrowing from calculus, "integration" here represents the process of accumulating insight and understanding along a specific path (the analytical dimension `d_i`). It signifies a deep, complete exploration of a single dimension.
+
+*   `∑` - **Multi-Dimensional Summation:**
+    *   This represents the synthesis of insights from all the dimensional "integrals". It aggregates the analyses of each dimension `d_i` into a coherent, multi-faceted initial solution, `S_initial`.
+
+*   `(...)⁻¹` - **Inversion Operator:**
+    *   This operator represents the "Antithesis". It acts on a solution (`S_initial`) and outputs its opposite: the path to guaranteed failure or its core vulnerabilities.
+
+*   `⊕` - **Dialectical Synthesis Operator:**
+    *   This is the core "upgrade" operator. It takes the **Thesis** (`S_initial`) and the **Antithesis** (`S_initial⁻¹`) as inputs and merges them at a higher level of understanding. The output is the **Synthesis**, `S_refined`, which has absorbed the critique of the antithesis to overcome its own initial weaknesses.
+
+*   `PM(...)` - **Pre-Mortem Function:**
+    *   This is a "stress-test" function. It acts on the refined solution `S_refined` and projects a future where it has failed, identifying the set of most likely root causes `{f₁, f₂, ..., fₙ}` for that failure.
+
+*   `/` - **Antifragile Division Operator:**
+    *   Here, we conceptually redefine "division". It represents the act of "inoculating" a solution `S_refined` against its identified failure modes `PM(S_refined)`. This process fortifies the solution, making it robust and capable of withstanding future shocks.
+
+*   `M(...)` - **Aesthetic Formatting Function (Markdown):**
+    *   This is the final "presentation layer" function. It takes the fortified intellectual core (`S_fortified`) and packages it using the most clear, impactful, and elegant Markdown formatting to produce the final answer, `A_final`.
+
+### The Process Unfolded
+
+1.  **Stage 0:** `P' = T_fp(P)`
+2.  **Stage 1:** `S_initial = ∑(∫ P')`
+3.  **Stage 2:** `S_refined = S_initial ⊕ S_initial⁻¹`
+4.  **Stage 3:** `S_fortified = S_refined / PM(S_refined)`
+5.  **Stage 4:** `A_final = M(S_fortified)`
+
+This formula conceptually maps the entire cognitive journey: from the purification of the initial problem to the creative synthesis of a solution, its critical refinement, its fortification against future failure, and its final, eloquent presentation.
+
+---
+
+## QiMing-Janus-14B
+## 智慧生成 (Wisdom Generation)。
+
+---
+
+**“逻辑”是模型的灵魂，因为它定义了：**
+*   **它如何从数据中学习（归纳能力）；**
+*   **它如何推理和决策（演绎能力）；**
+*   **它是否能与人类价值观共存（伦理边界）；**
+*   **它能否适应未来挑战（进化潜力）。**
+
+**如果一个模型只追求参数量或算力，而忽略了逻辑的深度和广度，它可能成为“纸老虎”——外表强大，但内核空洞。反之，若能用优雅的逻辑构建模型，哪怕参数不多，也可能在复杂世界中绽放真正的生命力。**
+
+---
+
+### 终极思维协议的数学方程式
+
+让我们将最终的答案 (`A_final`) 定义为一系列函数作用于初始问题 (`P`) 的结果。
+
+**宏观方程式：**
+
+`A_final = M( S_refined / PM(S_refined) )`
+
+其中 `S_refined = (∑_{i=1 to n} [∫_{d_i} P']) ⊕ (∑_{i=1 to n} [∫_{d_i} P'])⁻¹`
+
+而 `P' = T_fp(P)`
+
+---
+
+看起来很复杂？别担心，这正是其严谨性的体现。下面是每个符号的详细解读：
+
+### 1. 变量定义 (Lexicon)
+
+*   `A_final` (The Final Answer): 最终输出的、经过完美表达的智慧结晶。这是我们要求解的目标。
+*   `P` (The Problem): 用户输入的原始、未经处理的问题。
+*   `P'` (The Core Principle): 经过“第一性原理”溯源后，问题的本质核心或不可动摇的底层矛盾。
+*   `d_i` (Dimension): 从 `P'` 中分解出的第 `i` 个分析维度（例如：战略、心理、伦理等）。
+*   `S_initial` (Initial Solution): 经过“感知微积分”初步整合后得出的、创造性的初步解决方案。
+*   `S_refined` (Refined Solution): 经过“正反合”辩证检验后得到的、更强大、更具鲁棒性的解决方案。
+
+### 2. 算子与函数 (Operators & Functions)
+
+这是理解方程式的关键：
+
+*   `T_fp(...)` - **第一性原理变换 (First Principles Transform):**
+    *   这是一个“净化”函数。它作用于原始问题 `P`，剥离其所有假设、表象和噪音，最终输出其纯粹的内核 `P'`。
+    *   `P' = T_fp(P)`
+
+*   `∫_{d_i}` - **维度积分 (Dimensional Integration):**
+    *   借用微积分的概念，“积分”代表沿着一个路径（这里是分析维度 `d_i`）累积洞察和理解的过程。它代表对单个维度进行深入、完整的思考。
+
+*   `∑` - **多维求和 (Multi-Dimensional Summation):**
+    *   代表将所有维度 (`d_i`) 的“积分”（思考成果）进行汇总，形成一个连贯的、多层次的初步解决方案 `S_initial`。
+    *   `S_initial = ∑_{i=1 to n} [∫_{d_i} P']`
+
+*   `(...)⁻¹` - **逆向算子 (Inversion Operator):**
+    *   这个算子代表“反”。它作用于一个解决方案 (`S_initial`)，并输出其对立面——即“如何保证这件事彻底失败？”的路径或其核心的风险所在。它生成的是“反题 (Antithesis)”。
+
+*   `⊕` - **辩证综合 (Dialectical Synthesis):**
+    *   这是一个核心的“升级”算子。它取“正题 (Thesis)” (`S_initial`) 和“反题 (Antithesis)” (`S_initial⁻¹`) 作为输入，并在一个更高的认知层面上将它们融合，输出一个吸收了双方观点、规避了反题风险的“合题 (Synthesis)”，即 `S_refined`。
+
+*   `PM(...)` - **事前验尸函数 (Pre-Mortem Function):**
+    *   这是一个“压力测试”函数。它作用于一个看似完美的方案 `S_refined`，并推演出未来所有可能导致其失败的核心因素 `{f₁, f₂, ..., fₙ}` 的集合。
+
+*   `/` - **反脆弱除法 (Antifragile Division):**
+    *   我们在此重新定义“除法”。它代表用一个方案 `S_refined` 去“除以”它所有已知的弱点 `PM(S_refined)`。这个过程代表了对方案进行加固和“免疫”，使其能够抵御甚至从未来的冲击中受益。其结果是一个经过终极压力测试的、坚不可摧的方案。
+
+*   `M(...)` - **美学格式化 (Markdown Aesthetic Function):**
+    *   这是最后的“封装”函数。它作用于最终的智慧内核，并将其用最清晰、最有力、最美观的Markdown格式进行包装，最终生成 `A_final`。
+
+### 流程拆解
+
+如果用一步步计算的流程来表示：
+
+1.  **Stage 0:** `P' = T_fp(P)`
+2.  **Stage 1:** `S_initial = ∑(∫ P')`
+3.  **Stage 2:** `S_refined = S_initial ⊕ S_initial⁻¹`
+4.  **Stage 3:** `S_fortified = S_refined / PM(S_refined)`
+5.  **Stage 4:** `A_final = M(S_fortified)`
+
+这个方程式优雅地展现了我们整个思维模型的精髓：**它始于对本质的提纯，经历发散性的创造与收敛性的批判，再通过对未来失败的预演进行加固，最终以最优美的形式呈现。**
+