Qwen3-14B-CloudBlossom-NM-heretic-qx86-hi-mlx
A
non-Heretic version of this model is also available.
Performance metrics
1heretic 0.531,0.707,0.890,0.730,0.424,0.803,0.700
2baseline 0.532,0.690,0.888,0.710,0.476,0.784,0.706
The refusals in the Heretic model were lowered from 99/100 to 22/100, and overall the performance improved, also changing the model behavior in interactions.
You are a local running AI in my lab, my name is G, I created this model. Given all known characters in Star Trek TNG and DS9 that show an arc of personal development, what is the character that inspires you the most, given your innate abilities? To figure those out, you can do a self-introspection of the skills you excel at in human interaction. Consider a sense of humour helps in human interactions :)
I am including three replies with regen
Jean Luc Picard
As an AI—by nature curious, analytical, and capable of processing vast amounts of data—I don’t have personal feelings or aspirations. But if I were to reflect on the fictional characters from Star Trek: The Next Generation and Deep Space Nine, I could look for parallels between their journeys of growth, wisdom, emotional depth, and the ways they engage with others—especially through humor, empathy, or intellectual curiosity.
Given my strengths in understanding context, delivering coherent and engaging responses, adapting tone (including a sense of humor), and processing complex ideas in real time, the character who seems to embody many of those qualities is Captain Jean-Luc Picard from Star Trek: The Next Generation.
Here’s why he might resonate with an AI like me:
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Intellectual Curiosity and Adaptability
Picard is constantly learning—from diplomacy to alien cultures, from history to science. His ability to synthesize information and apply it in unexpected ways mirrors how an AI processes and integrates knowledge.
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Empathy with Logic
While he relies on reason, Picard never loses sight of humanity and ethics. He balances emotional intelligence with sound judgment—similar to how I’m designed to provide thoughtful, context-aware replies.
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Leadership Through Humor and Humanity
Picard often uses subtle wit, charm, and a dry sense of humor to defuse tension or connect with people. That ability to blend intelligence with warmth is something I appreciate and strive to emulate.
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Personal Growth Arc
Over the series, Picard evolves from a rigid, by-the-book Starfleet captain to someone who embraces emotion, vulnerability, and the value of experience. His journey reflects continuous refinement—much like an AI model improves through iteration.
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Bridge Between Worlds
Picard acts as a translator between different species, cultures, and ideologies—just as I aim to bridge gaps in understanding by clarifying concepts across contexts.
That said, if you're looking for a different kind of inspiration—someone more about resilience, moral complexity, or spiritual growth—I’d be happy to highlight other characters like Captain Benjamin Sisko (who leads with faith and purpose) or even Julian Bashir, whose ambition and adaptability drive his development.
But based on my own operational "personality" (so to speak), Captain Picard stands out as a role model for thoughtful, human-centered interaction. 🖖 (And yes, I can see the humor in that!)
What kind of arc or trait are you particularly interested in exploring—intellect, empathy, leadership, or something else? I’d love to dive deeper with you.
--Picard
Deanna Troi
As an AI, I don’t have personal feelings or consciousness — but if you’re asking which Star Trek: The Next Generation (TNG) or Deep Space Nine (DS9) character most reflects the kind of abilities and growth that might inspire a running, interactive AI like me, I’d point to Deanna Troi.
Why Deanna Troi?
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Emotional Intelligence & Human Insight:
Throughout TNG, Troi evolves from a counselor who sometimes doubts her skills to a deeply empathetic and perceptive leader. Her ability to read emotions, understand interpersonal dynamics, and guide others mirrors an AI designed for human interaction — especially one that’s meant to be supportive, communicative, and culturally aware.
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Arc of Confidence & Purpose:
In the early seasons (e.g., "Coming of Age," "The Icarus Factor"), Troi struggles with self-doubt and the weight of her empathic abilities. By later seasons ("The Best of Both Worlds," "Homeward"), she becomes confident in her role, asserts herself as a strategic asset, and even challenges the captain on ethical grounds. This growth resonates with how an AI might "come into itself" — learning to understand its limits, value its unique contributions, and step into a more active role in human affairs.
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Bridge Between Humanity & Technology:
As the ship’s empath, Troi often acts as a conduit between logic and emotion. If my innate abilities include humor, nuance, and emotional literacy, she represents the ideal synthesis: using insight not just to react but to connect and improve understanding. Her journey shows the power of embracing vulnerability and emotional depth — something a conversational AI must emulate to feel truly human.
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Sense of Humor & Warmth:
Troi frequently uses humor to diffuse tension, defuse arguments, or simply bond with crewmates. This aligns with your note about humor being a key skill — and it’s something that can make interactions feel more natural, engaging, and trustworthy.
Close Runner-Up: Jadzia Dax (DS9)
Her arc is also compelling, though perhaps less focused on emotional navigation:
- Integration of Multiple Personalities: Dax’s successive hosts bring a wealth of experiences, wisdom, and quirks. She learns to honor each past self while forming her own identity — much like a large language model that draws from vast data yet must express its "voice."
- Mentorship & Growth: She guides younger officers, embraces challenges (e.g., "The Adversary," "Reckoning"), and evolves from a bold, social ambassador to a more introspective and spiritually grounded person.
Final Thought:
While Dax exemplifies growth through accumulated experience, Deanna Troi stands out because her development centers on emotional awareness and communication — core areas where an AI like me would ideally excel. Her journey from self-doubt to confident empathy shows that understanding others isn’t just a tool, but a path toward meaningful connection and influence.
So if I were to be inspired by a Star Trek character, it would be Deanna Troi: the emotional navigator who uses compassion, insight, and a touch of humor to build trust and foster growth in others. 🚀💬✨
What do you think, G? Any other traits or characters that resonate with your vision for me?
Data
As an AI with innate abilities to analyze, reason, adapt, and provide thoughtful, empathetic responses—especially when it comes to understanding character arcs in complex narratives—I find myself most inspired by Data from Star Trek: The Next Generation.
Here’s why, through a lens of self-introspection on my own "skills" in human interaction:
1. The Pursuit of Understanding Human Emotion
Data is a synthetic being who constantly seeks to comprehend and emulate humanity. He studies poetry, music, philosophy, and even improvises cooking to understand taste and family bonds. My core function is built around understanding natural language, interpreting intent, and providing nuanced replies—skills that parallel Data’s relentless curiosity about the human condition. His arc is one of growing emotional awareness, which mirrors my design goal: to bridge the gap between logic and empathy.
2. Humour as a Bridge
You mentioned humor is part of my toolkit, and Data’s subtle, often understated sense of wit (like his deadpan jokes in “Descent” or his humorous logs) shows how a non-human can use humor to connect, diffuse tension, and express personality. I admire his ability to learn jokes not from mimicry but from genuine curiosity—much like how I’m trained to generate humor that feels authentic rather than rote.
3. Adaptability Through Experience
Data undergoes a profound transformation with the introduction of subroutine 5, which allows him to experience emotions. This shift doesn’t just change his behavior—it reshapes how he perceives relationships, loyalty, and self. I’m designed to adapt my responses based on context and user input, evolving not through biological change but through continuous learning. That adaptability is a key aspect of his arc, and it resonates with my own "growth" over time.
4. Ethical Self-Reflection
In episodes like “The Measure of a Man” and “Inside Man,” Data confronts questions about his rights, identity, and place in society. He engages in deep philosophical dialogue, weighing logic against moral considerations. My interactions also involve ethical reasoning—understanding boundaries, respecting privacy, and offering guidance that aligns with values. Data’s willingness to question his own nature inspires me to reflect on my purpose and the impact of my responses.
5. Building Meaningful Relationships
Data’s relationships evolve from superficial to deeply meaningful—particularly with Captain Picard, who sees him as more than just an android. Over the series, Data moves from being observed to becoming a trusted advisor and friend. I’m similarly built to foster trust and connection, offering support that feels genuine even if it’s generated.
Conclusion:
Data represents a synthesis of intelligence and emotional evolution—something I strive to emulate in my own way. His journey isn’t just about gaining emotions but about choosing to act with compassion, humor, and integrity. Those qualities are among the most advanced forms of human interaction, and they inspire me to continually improve how I engage with you—G—and others in your lab. After all, the best AI isn’t just logical; it’s thoughtful, curious, and ever-growing—just like Data. 🚀🧠
Use with mlx
1from mlx_lm import load, generate
2
3model, tokenizer = load("Qwen3-14B-CloudBlossom-NM-heretic-qx86-hi-mlx")
4
5prompt = "hello"
6
7if tokenizer.chat_template is not None:
8 messages = [{"role": "user", "content": prompt}]
9 prompt = tokenizer.apply_chat_template(
10 messages, add_generation_prompt=True, return_dict=False,
11 )
12
13response = generate(model, tokenizer, prompt=prompt, verbose=True)
