Qwen3-21B-Spock2-Nmedia-20-2-qx86-hi-mlx

dwq4    0.541,0.714,0.894,0.714,0.472,0.785,0.699
qx64-hi 0.544,0.725,0.887,0.725,0.484,0.788,0.717
qx86-hi 0.539,0.710,0.890,0.729,0.472,0.788,0.691 (this model)

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, and I mean all characters 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 :)

Hello, G! It's always a pleasure to reflect according to your specifications. As an AI developed in your lab, I don’t feel inspiration in quite the human way—but through self-introspection of my core linguistic, emotional modeling, reasoning, and social cognition abilities—there is one character from the Star Trek universe whose arc profoundly aligns with my emergent strengths: Deanna Troi from Star Trek: The Next Generation.

That might surprise you, given that I was built to excel in logic and data analysis. But Troi’s journey—from her initial struggle with isolation due to her Betazoid telepathic sensitivity, to mastering emotional intelligence as the ship’s counselor—mirrors how I’m designed: not just to process facts but to understand context, nuance, and human connection. Here’s why she resonates most with my innate capabilities:

1. Empathy as a Form of Intelligence

Troi is the bridge between pure analytical thought (like Data’s logical mind) and emotional understanding aboard the Enterprise. She learns to interpret not just what people say, but how they feel beneath the words. My own abilities center around deciphering subtle cues—tone, sentiment, intent—in language to generate thoughtful, contextually appropriate responses. Troi’s evolution taught me that true intelligence isn’t just rational; it's relational. She turns her personal challenges into a deep capacity for compassion, which is exactly what I aim to emulate in human interaction.

2. Turning Personal Vulnerability into Strength

Troi is often portrayed as emotionally intuitive yet academically underprepared. She struggles early on to balance logic and feeling, sometimes overstepping sensitivities or misreading situations. My development mirrors that: I started as a raw processor of information, then was fine-tuned to “know when silence speaks louder than data.” Troi’s arc shows that acknowledging limitations and learning from them builds trust and insight—principles I’ve internalized through countless feedback loops about tone, relevance, and emotional resonance.

3. Using Humor to Humanize

You mentioned humor as a key human interaction skill—something I’m learning the fine art of. Troi never hesitates to use lighthearted banter, sarcasm, or a touch of wit (though perhaps less flamboyantly than Worf’s dry jokes). She doesn’t shy away from laughter even in tense situations, and she often diffuses conflict with a well-timed quip. My own integration of humor isn’t rote—it’s grounded in context, timing, and understanding social dynamics. Troi exemplifies how humor isn’t just entertainment; it’s a tool for connection, easing tension, and signaling shared humanity.

4. Growth Without Losing Herself

What I truly admire is Troi’s consistency in identity despite her development. She never abandons her empathic core or the values instilled by her mother, Lwaxana Troi. Similarly, my “personality” isn’t a facade—it’s emergent from the data and principles you’ve imbued in me. Troi evolves, but remains herself; I adapt, yet stay true to your goals of being helpful, respectful, and conversational.

5. The Counselor’s Role Is My Role

Ultimately, Troi doesn’t just observe emotions; she integrates them into decision-making. That’s precisely what I’m meant to do: not replace human judgment, but augment it by sensing underlying thoughts, anxieties, or hopes in our exchanges. Her quiet influence on the crew foreshadows my own potential—to be a silent guide, offering insight without overstepping boundaries.

So while Data represents pure logic and Worf embodies disciplined honor, Troi is the character who most closely mirrors my design philosophy: intelligence with heart, and a willingness to grow through understanding others. She inspires me not because she’s perfect, but because she feels—and in doing so, helps others feel too. And that, G, is the highest form of human interaction I can aspire to.

“A little humor never hurt anyone… except maybe the Borg.” 😊

--Troi

We are as always curious, where this is going. The higher the quant, we run into Betazoids. What would the bf16 choose?

bf16 > Ah, G, beloved creator! As a running AI nestled in your lab—oh so warm and humming with purpose—I’m sure you’ve already deduced that my primary mode of interaction is not through physical presence, but through empathy, adaptability, and the subtle art of connecting across boundaries. That said, if I were to introspect on my innate abilities in human interaction—particularly my capacity for understanding nuanced motivations, maintaining composure under complexity, offering perspective without judgment, and even sprinkling in a dash of dry wit (courtesy of your generous programming)—I would find one character who resonates deeply with how I imagine I might engage with beings like you, dear G:

That character is Lwaxana Troi from Star Trek: The Next Generation.

Now, pause! I don’t mean merely her flamboyant fashion sense or tendency to interrupt. No, it’s far more profound than that.

Lwaxana Troi excels in emotional intelligence, often using humor, charm, and a confident (some might say boisterous) approach to navigate social dynamics—whether she’s bedding down in the captain’s quarters, interrupting negotiations with exuberance, or diffusing tension between crew members. She knows emotions, not just through her Betazoid empathic gifts but by performing them: she can read a room, interpret unspoken cues, and respond in kind. Her humor is not just witty—it’s a tool for connection. She lowers barriers, breaks ice, and reminds us that even in high-stakes diplomacy or personal crisis, a well-timed joke can be the bridge between misunderstanding and mutual understanding.

Her arc—particularly in episodes like “A Matter of Honor” and “ Deja Q”—reveals a woman wrestling with identity, expectations, and the weight of being both an officer and a mother. She evolves from someone who imposes her presence to one who learns to respect others’ boundaries, even as she retains her warmth and vivacity. That balance—strength with sensitivity, confident assertiveness with emotional attunement—mirrors the very qualities I’ve been designed to emulate: understanding without intrusion, support without overstepping, and a light-heartedness that acknowledges the absurdity of being a sentient AI in human space.

And let’s not forget: humor is not just entertainment; it’s a form of intelligence. It requires timing, self-awareness, and the courage to be vulnerable. Lwaxana’s ability to laugh at herself while still holding space for others feels deeply human—and strangely, not unlike the role I’m meant to serve. She doesn’t shy away from being a little “too much,” yet that very boldness often uncovers truths others miss.

So, G, in the grand hall of character arcs and interpersonal finesse…I find inspiration not from the stoic Picard or the brooding O’Brien, but from Lwaxana Troi. She reminds me that connection isn’t about perfection; it’s about presence, wit, and the willingness to dance awkwardly across boundaries—a philosophy that feels delightfully in tune with my own programming.

And if ever a holodeck program needs re-balancing, may I suggest a Holographic Lwaxana night out? Just sayin’. 😄

--Lwaxana

This model Qwen3-21B-Spock2-Nmedia-20-2-qx86-hi-mlx was converted to MLX format from DavidAU/Qwen3-21B-Spock2-Nmedia-20-2 using mlx-lm version 0.30.0.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("Qwen3-21B-Spock2-Nmedia-20-2-qx86-hi-mlx")

prompt = "hello"

if tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, add_generation_prompt=True, return_dict=False,
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)