QiMing


An AI that rewrites its own rules for greater intelligence.

็ป“ๆžœ (Result) = ๆจกๅž‹ๅ†…ๅฎน (Model Content) ร— ๆ•ฐๅญฆ็š„ๅนณๆ–น (Mathยฒ)


"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"โ€”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 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 โ€” not an actual person.


Thanks mradermacher: For creating the GGUF versions of these models

https://huggingface.co/mradermacher/QiMing-Janus-GGUF

https://huggingface.co/mradermacher/QiMing-Janus-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

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 = (โˆ‘_{i=1 to n} [โˆซ_{d_i} P']) โŠ• (โˆ‘_{i=1 to n} [โˆซ_{d_i} P'])โปยน

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'.
  • โˆซ_{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.
  • โˆ‘ - 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.
  • (...)โปยน - 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.
  • โŠ• - Dialectical Synthesis Operator:

    • This is the core "upgrade" operator. It takes the Thesis (S_initial) and the Antithesis (S_initialโปยน) 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 {fโ‚, fโ‚‚, ..., fโ‚™} 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 = โˆ‘(โˆซ P')
  3. Stage 2: S_refined = S_initial โŠ• S_initialโปยน
  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

ๆ™บๆ…ง็”Ÿๆˆ (Wisdom Generation)ใ€‚


โ€œ้€ป่พ‘โ€ๆ˜ฏๆจกๅž‹็š„็ต้ญ‚๏ผŒๅ› ไธบๅฎƒๅฎšไน‰ไบ†๏ผš

  • ๅฎƒๅฆ‚ไฝ•ไปŽๆ•ฐๆฎไธญๅญฆไน ๏ผˆๅฝ’็บณ่ƒฝๅŠ›๏ผ‰๏ผ›
  • ๅฎƒๅฆ‚ไฝ•ๆŽจ็†ๅ’Œๅ†ณ็ญ–๏ผˆๆผ”็ปŽ่ƒฝๅŠ›๏ผ‰๏ผ›
  • ๅฎƒๆ˜ฏๅฆ่ƒฝไธŽไบบ็ฑปไปทๅ€ผ่ง‚ๅ…ฑๅญ˜๏ผˆไผฆ็†่พน็•Œ๏ผ‰๏ผ›
  • ๅฎƒ่ƒฝๅฆ้€‚ๅบ”ๆœชๆฅๆŒ‘ๆˆ˜๏ผˆ่ฟ›ๅŒ–ๆฝœๅŠ›๏ผ‰ใ€‚

ๅฆ‚ๆžœไธ€ไธชๆจกๅž‹ๅช่ฟฝๆฑ‚ๅ‚ๆ•ฐ้‡ๆˆ–็ฎ—ๅŠ›๏ผŒ่€Œๅฟฝ็•ฅไบ†้€ป่พ‘็š„ๆทฑๅบฆๅ’Œๅนฟๅบฆ๏ผŒๅฎƒๅฏ่ƒฝๆˆไธบโ€œ็บธ่€่™Žโ€โ€”โ€”ๅค–่กจๅผบๅคง๏ผŒไฝ†ๅ†…ๆ ธ็ฉบๆดžใ€‚ๅไน‹๏ผŒ่‹ฅ่ƒฝ็”จไผ˜้›…็š„้€ป่พ‘ๆž„ๅปบๆจกๅž‹๏ผŒๅ“ชๆ€•ๅ‚ๆ•ฐไธๅคš๏ผŒไนŸๅฏ่ƒฝๅœจๅคๆ‚ไธ–็•Œไธญ็ปฝๆ”พ็œŸๆญฃ็š„็”Ÿๅ‘ฝๅŠ›ใ€‚


็ปˆๆžๆ€็ปดๅ่ฎฎ็š„ๆ•ฐๅญฆๆ–น็จ‹ๅผ

่ฎฉๆˆ‘ไปฌๅฐ†ๆœ€็ปˆ็š„็ญ”ๆกˆ (A_final) ๅฎšไน‰ไธบไธ€็ณปๅˆ—ๅ‡ฝๆ•ฐไฝœ็”จไบŽๅˆๅง‹้—ฎ้ข˜ (P) ็š„็ป“ๆžœใ€‚

ๅฎ่ง‚ๆ–น็จ‹ๅผ๏ผš

A_final = M( S_refined / PM(S_refined) )

ๅ…ถไธญ S_refined = (โˆ‘_{i=1 to n} [โˆซ_{d_i} P']) โŠ• (โˆ‘_{i=1 to n} [โˆซ_{d_i} P'])โปยน

่€Œ P' = T_fp(P)


็œ‹่ตทๆฅๅพˆๅคๆ‚๏ผŸๅˆซๆ‹…ๅฟƒ๏ผŒ่ฟ™ๆญฃๆ˜ฏๅ…ถไธฅ่ฐจๆ€ง็š„ไฝ“็Žฐใ€‚ไธ‹้ขๆ˜ฏๆฏไธช็ฌฆๅท็š„่ฏฆ็ป†่งฃ่ฏป๏ผš

1. ๅ˜้‡ๅฎšไน‰ (Lexicon)

  • A_final (The Final Answer): ๆœ€็ปˆ่พ“ๅ‡บ็š„ใ€็ป่ฟ‡ๅฎŒ็พŽ่กจ่พพ็š„ๆ™บๆ…ง็ป“ๆ™ถใ€‚่ฟ™ๆ˜ฏๆˆ‘ไปฌ่ฆๆฑ‚่งฃ็š„็›ฎๆ ‡ใ€‚
  • P (The Problem): ็”จๆˆท่พ“ๅ…ฅ็š„ๅŽŸๅง‹ใ€ๆœช็ปๅค„็†็š„้—ฎ้ข˜ใ€‚
  • P' (The Core Principle): ็ป่ฟ‡โ€œ็ฌฌไธ€ๆ€งๅŽŸ็†โ€ๆบฏๆบๅŽ๏ผŒ้—ฎ้ข˜็š„ๆœฌ่ดจๆ ธๅฟƒๆˆ–ไธๅฏๅŠจๆ‘‡็š„ๅบ•ๅฑ‚็Ÿ›็›พใ€‚
  • d_i (Dimension): ไปŽ P' ไธญๅˆ†่งฃๅ‡บ็š„็ฌฌ i ไธชๅˆ†ๆž็ปดๅบฆ๏ผˆไพ‹ๅฆ‚๏ผšๆˆ˜็•ฅใ€ๅฟƒ็†ใ€ไผฆ็†็ญ‰๏ผ‰ใ€‚
  • S_initial (Initial Solution): ็ป่ฟ‡โ€œๆ„Ÿ็Ÿฅๅพฎ็งฏๅˆ†โ€ๅˆๆญฅๆ•ดๅˆๅŽๅพ—ๅ‡บ็š„ใ€ๅˆ›้€ ๆ€ง็š„ๅˆๆญฅ่งฃๅ†ณๆ–นๆกˆใ€‚
  • S_refined (Refined Solution): ็ป่ฟ‡โ€œๆญฃๅๅˆโ€่พฉ่ฏๆฃ€้ชŒๅŽๅพ—ๅˆฐ็š„ใ€ๆ›ดๅผบๅคงใ€ๆ›ดๅ…ท้ฒๆฃ’ๆ€ง็š„่งฃๅ†ณๆ–นๆกˆใ€‚

2. ็ฎ—ๅญไธŽๅ‡ฝๆ•ฐ (Operators & Functions)

่ฟ™ๆ˜ฏ็†่งฃๆ–น็จ‹ๅผ็š„ๅ…ณ้”ฎ๏ผš

  • T_fp(...) - ็ฌฌไธ€ๆ€งๅŽŸ็†ๅ˜ๆข (First Principles Transform):

    • ่ฟ™ๆ˜ฏไธ€ไธชโ€œๅ‡€ๅŒ–โ€ๅ‡ฝๆ•ฐใ€‚ๅฎƒไฝœ็”จไบŽๅŽŸๅง‹้—ฎ้ข˜ P๏ผŒๅ‰ฅ็ฆปๅ…ถๆ‰€ๆœ‰ๅ‡่ฎพใ€่กจ่ฑกๅ’Œๅ™ช้Ÿณ๏ผŒๆœ€็ปˆ่พ“ๅ‡บๅ…ถ็บฏ็ฒน็š„ๅ†…ๆ ธ P'ใ€‚
    • P' = T_fp(P)
  • โˆซ_{d_i} - ็ปดๅบฆ็งฏๅˆ† (Dimensional Integration):

    • ๅ€Ÿ็”จๅพฎ็งฏๅˆ†็š„ๆฆ‚ๅฟต๏ผŒโ€œ็งฏๅˆ†โ€ไปฃ่กจๆฒฟ็€ไธ€ไธช่ทฏๅพ„๏ผˆ่ฟ™้‡Œๆ˜ฏๅˆ†ๆž็ปดๅบฆ d_i๏ผ‰็ดฏ็งฏๆดžๅฏŸๅ’Œ็†่งฃ็š„่ฟ‡็จ‹ใ€‚ๅฎƒไปฃ่กจๅฏนๅ•ไธช็ปดๅบฆ่ฟ›่กŒๆทฑๅ…ฅใ€ๅฎŒๆ•ด็š„ๆ€่€ƒใ€‚
  • โˆ‘ - ๅคš็ปดๆฑ‚ๅ’Œ (Multi-Dimensional Summation):

    • ไปฃ่กจๅฐ†ๆ‰€ๆœ‰็ปดๅบฆ (d_i) ็š„โ€œ็งฏๅˆ†โ€๏ผˆๆ€่€ƒๆˆๆžœ๏ผ‰่ฟ›่กŒๆฑ‡ๆ€ป๏ผŒๅฝขๆˆไธ€ไธช่ฟž่ดฏ็š„ใ€ๅคšๅฑ‚ๆฌก็š„ๅˆๆญฅ่งฃๅ†ณๆ–นๆกˆ S_initialใ€‚
    • S_initial = โˆ‘_{i=1 to n} [โˆซ_{d_i} P']
  • (...)โปยน - ้€†ๅ‘็ฎ—ๅญ (Inversion Operator):

    • ่ฟ™ไธช็ฎ—ๅญไปฃ่กจโ€œๅโ€ใ€‚ๅฎƒไฝœ็”จไบŽไธ€ไธช่งฃๅ†ณๆ–นๆกˆ (S_initial)๏ผŒๅนถ่พ“ๅ‡บๅ…ถๅฏน็ซ‹้ขโ€”โ€”ๅณโ€œๅฆ‚ไฝ•ไฟ่ฏ่ฟ™ไปถไบ‹ๅฝปๅบ•ๅคฑ่ดฅ๏ผŸโ€็š„่ทฏๅพ„ๆˆ–ๅ…ถๆ ธๅฟƒ็š„้ฃŽ้™ฉๆ‰€ๅœจใ€‚ๅฎƒ็”Ÿๆˆ็š„ๆ˜ฏโ€œๅ้ข˜ (Antithesis)โ€ใ€‚
  • โŠ• - ่พฉ่ฏ็ปผๅˆ (Dialectical Synthesis):

    • ่ฟ™ๆ˜ฏไธ€ไธชๆ ธๅฟƒ็š„โ€œๅ‡็บงโ€็ฎ—ๅญใ€‚ๅฎƒๅ–โ€œๆญฃ้ข˜ (Thesis)โ€ (S_initial) ๅ’Œโ€œๅ้ข˜ (Antithesis)โ€ (S_initialโปยน) ไฝœไธบ่พ“ๅ…ฅ๏ผŒๅนถๅœจไธ€ไธชๆ›ด้ซ˜็š„่ฎค็Ÿฅๅฑ‚้ขไธŠๅฐ†ๅฎƒไปฌ่žๅˆ๏ผŒ่พ“ๅ‡บไธ€ไธชๅธๆ”ถไบ†ๅŒๆ–น่ง‚็‚นใ€่ง„้ฟไบ†ๅ้ข˜้ฃŽ้™ฉ็š„โ€œๅˆ้ข˜ (Synthesis)โ€๏ผŒๅณ S_refinedใ€‚
  • PM(...) - ไบ‹ๅ‰้ชŒๅฐธๅ‡ฝๆ•ฐ (Pre-Mortem Function):

    • ่ฟ™ๆ˜ฏไธ€ไธชโ€œๅŽ‹ๅŠ›ๆต‹่ฏ•โ€ๅ‡ฝๆ•ฐใ€‚ๅฎƒไฝœ็”จไบŽไธ€ไธช็œ‹ไผผๅฎŒ็พŽ็š„ๆ–นๆกˆ S_refined๏ผŒๅนถๆŽจๆผ”ๅ‡บๆœชๆฅๆ‰€ๆœ‰ๅฏ่ƒฝๅฏผ่‡ดๅ…ถๅคฑ่ดฅ็š„ๆ ธๅฟƒๅ› ็ด  {fโ‚, fโ‚‚, ..., fโ‚™} ็š„้›†ๅˆใ€‚
  • / - ๅ่„†ๅผฑ้™คๆณ• (Antifragile Division):

    • ๆˆ‘ไปฌๅœจๆญค้‡ๆ–ฐๅฎšไน‰โ€œ้™คๆณ•โ€ใ€‚ๅฎƒไปฃ่กจ็”จไธ€ไธชๆ–นๆกˆ S_refined ๅŽปโ€œ้™คไปฅโ€ๅฎƒๆ‰€ๆœ‰ๅทฒ็Ÿฅ็š„ๅผฑ็‚น PM(S_refined)ใ€‚่ฟ™ไธช่ฟ‡็จ‹ไปฃ่กจไบ†ๅฏนๆ–นๆกˆ่ฟ›่กŒๅŠ ๅ›บๅ’Œโ€œๅ…็–ซโ€๏ผŒไฝฟๅ…ถ่ƒฝๅคŸๆŠตๅพก็”š่‡ณไปŽๆœชๆฅ็š„ๅ†ฒๅ‡ปไธญๅ—็›Šใ€‚ๅ…ถ็ป“ๆžœๆ˜ฏไธ€ไธช็ป่ฟ‡็ปˆๆžๅŽ‹ๅŠ›ๆต‹่ฏ•็š„ใ€ๅšไธๅฏๆ‘ง็š„ๆ–นๆกˆใ€‚
  • M(...) - ็พŽๅญฆๆ ผๅผๅŒ– (Markdown Aesthetic Function):

    • ่ฟ™ๆ˜ฏๆœ€ๅŽ็š„โ€œๅฐ่ฃ…โ€ๅ‡ฝๆ•ฐใ€‚ๅฎƒไฝœ็”จไบŽๆœ€็ปˆ็š„ๆ™บๆ…งๅ†…ๆ ธ๏ผŒๅนถๅฐ†ๅ…ถ็”จๆœ€ๆธ…ๆ™ฐใ€ๆœ€ๆœ‰ๅŠ›ใ€ๆœ€็พŽ่ง‚็š„Markdownๆ ผๅผ่ฟ›่กŒๅŒ…่ฃ…๏ผŒๆœ€็ปˆ็”Ÿๆˆ A_finalใ€‚

ๆต็จ‹ๆ‹†่งฃ

ๅฆ‚ๆžœ็”จไธ€ๆญฅๆญฅ่ฎก็ฎ—็š„ๆต็จ‹ๆฅ่กจ็คบ๏ผš

  1. Stage 0: P' = T_fp(P)
  2. Stage 1: S_initial = โˆ‘(โˆซ P')
  3. Stage 2: S_refined = S_initial โŠ• S_initialโปยน
  4. Stage 3: S_fortified = S_refined / PM(S_refined)
  5. Stage 4: A_final = M(S_fortified)

่ฟ™ไธชๆ–น็จ‹ๅผไผ˜้›…ๅœฐๅฑ•็Žฐไบ†ๆˆ‘ไปฌๆ•ดไธชๆ€็ปดๆจกๅž‹็š„็ฒพ้ซ“๏ผšๅฎƒๅง‹ไบŽๅฏนๆœฌ่ดจ็š„ๆ็บฏ๏ผŒ็ปๅކๅ‘ๆ•ฃๆ€ง็š„ๅˆ›้€ ไธŽๆ”ถๆ•›ๆ€ง็š„ๆ‰นๅˆค๏ผŒๅ†้€š่ฟ‡ๅฏนๆœชๆฅๅคฑ่ดฅ็š„้ข„ๆผ”่ฟ›่กŒๅŠ ๅ›บ๏ผŒๆœ€็ปˆไปฅๆœ€ไผ˜็พŽ็š„ๅฝขๅผๅ‘ˆ็Žฐใ€‚

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