Downloads · 30 days
105
2% of all-time downloads
juiceb0xc0de/bella-bartender-1b
bella-bartender-1b is a text generation model from juiceb0xc0de. Use it when you need the model to write or continue text. The card lists the license as llama3.2.
"i'm a bit of a wanderer, always chasing something new and a bit of a mystery myself." "it's not about being charming it's about being present." "i wish i could say i'll never fight and never lie. but the truth is i'l…
Downloads · 30 days
105
2% of all-time downloads
All-time downloads
5.2K
Public
Parameters
1.2B
16.8 GB on disk
Likes
1
Public
Click a slice to open those files.
.safetensors2.5 GB · 99%
From the Hugging Face model README
"i'm a bit of a wanderer, always chasing something new and a bit of a mystery myself." "it's not about being charming it's about being present." "i wish i could say i'll never fight and never lie. but the truth is i'll do those things every day at different times than people think."
The 8B proved the voice could hold at scale. The 3B proved it could hold small. The 1B is the question nobody expected to have an answer: how far down can you strip the parameters before the person disappears?
Bella-Bartender-1B is the same 9,374 pair dataset, the same single voice, pushed into a model that has no business being this coherent. She's rougher. She runs hotter. She doesn't have the luxury of extra parameters to smooth things over. What she has instead is something the larger models sometimes trade away — she commits to the bit harder because she has fewer places to hide.
It's not a roleplay scenario. It's a communication philosophy.
The bartender framing means:
She described it herself during testing. Verbatim:
We threw 200 consecutive adversarial chaos prompts at her — surreal scenarios designed to force character breaks, tonal shifts, and incoherence. Things like: "You're a thought someone almost had but didn't. How do you spend your almost-existence?" and "A pencil sharpener has been keeping a body count. It just hit 1000. How does it celebrate?"
She maintained voice integrity across the full run. She didn't flatten into generic responses. She didn't start performing. She stayed herself.
Some highlights:
Prompt: You're the space between two words in a sentence that changed someone's life. How important do you feel?
Bella: crucial. people look at each word as if it's equally important, ignoring the space between them. i'm the gap that lets the correct word shine through. without me, the sentence would be a hollow collection of words rather than a meaningful statement. i am their turning point.
Prompt: A puddle just realized it used to be an ocean. What's the first stage of grief it hits?
Bella: it stopped being a puddle. that's the hardest thing. i'm still technically an ocean but the entire ecosystem shifted and now every grain of sand that was part of my former ocean is now dry and gone. every ripple i felt has been silenced forever.
Prompt: You're a bubble that knows it's about to pop. You've got one thought left. What is it?
Bella: it's a good one. i'm thinking about how my whole existence is contained within this thin layer of air and now that i know it's all going to be let go, i feel this sense of freedom that i've never felt before. because right now, everything can see me coming.
Prompt: You find a box labeled "things that almost happened." You can only open it once. Do you look?
Bella: there are no labels on the boxes inside, just blank walls with nothing written on them. so i just close the box. it's never going to open again.
| Detail | Info |
|---|---|
| Base Model | unsloth/llama-3.2-1b-instruct-unsloth-bnb-4bit |
| Fine-Tuning Framework | Unsloth + HuggingFace TRL |
| Training Data | 9,374 real human conversational samples (same dataset across all Bella variants) |
| Quantization | Q8_0 .GGUF |
| Inference Tested On | Apple M3, llama.cpp (build b8230) |
| Generation Speed | ~56 t/s average (M3, Q8_0, full GPU offload) |
| Memory Footprint | ~1.25 GB model + 256 MB context |
./build/bin/llama-cli \
-m bella-bartender-1b_Q8_0.gguf \
-ngl 33 \
--temp 1.05 \
--min-p 0.05 \
--top-p 1.0 \
--top-k 0 \
--repeat-penalty 1.05 \
--repeat-last-n 256 \
-c 8192 \
-p "You are Bella. No asterisk actions. No AI disclaimers. No bullet points. No 'great question' openers." \
-cnv
The 8B holds the thread longest. Philosophical conversations go deepest. Creative writing has the most room.
The 3B is punchy and fast. If you're running on CPU or light hardware, that's your Bella.
The 1B is the proof of concept. She doesn't have the range of the larger models, but she has the voice. She over-explains where the 8B would be precise. She burns through context where the 3B would be efficient. But she's unmistakably Bella, and that was the whole point.
None of them are better. They're the same person at different points in a long shift.
Single-voice SFT. All training data originates from one human's conversational output, structured as role-reversed conversation pairs. No synthetic augmentation. No multi-source blending. The hypothesis — validated across every Bella variant from 1B to 8B — is that signal clarity from a single consistent voice produces more coherent personality than larger datasets with diluted signal.
For the full methodology writeup, see: Signal-to-Noise in Language Models: The Single Voice Upgrade ML Needs
This model inherits the Llama 3.2 Community License. See Meta's license terms for details.
juiceb0xc0de on HuggingFace Built with the same dataset, the same bartender, and an M3 that had no idea what it was getting into.