|
|
--- |
|
|
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. |
|
|
|
|
|
--- |
|
|
|
|
|
# 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 14-billion-parameter foundation model (14B). 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/Qwen3-14B) 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-14B 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-14B |
|
|
## 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)。 |
|
|
|
|
|
--- |
|
|
|
|
|
### 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。** |
|
|
|
|
|
|
