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README.md
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license: mit
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---
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license: mit
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language:
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- en
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tags:
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- gguf
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- llama.cpp
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- qwen
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- instruct
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- lora
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- roleplay
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- christmas
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- holiday
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- storytelling
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pipeline_tag: text-generation
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---
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<!--
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GHOSTAI • CHRISTMAS SPIRIT GGUF (2B)
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Professional Hugging Face README for a GGUF release.
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-->
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<p align="center">
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<img src="https://capsule-render.vercel.app/api?type=waving&color=0:0b1d12,50:8b0000,100:0b1d12&height=170§ion=header&text=GHOSTAI%20—%20CHRISTMAS%20SPIRIT%20GGUF%20(2B)&fontSize=40&fontColor=F7F7F7&animation=twinkling" />
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</p>
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<p align="center">
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<img alt="Format" src="https://img.shields.io/badge/Format-GGUF-0B1D12?style=for-the-badge">
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<img alt="Runtime" src="https://img.shields.io/badge/Runtime-llama.cpp-14532D?style=for-the-badge">
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<img alt="Model Size" src="https://img.shields.io/badge/Model-2B-1F6FEB?style=for-the-badge">
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<img alt="Theme" src="https://img.shields.io/badge/Theme-Christmas%20Spirit-8B0000?style=for-the-badge">
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</p>
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<p align="center">
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<strong>GHOSTAI — Christmas Spirit GGUF (2B)</strong><br/>
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A compact, holiday-forward <strong>2B</strong> model tuned for cozy storytelling, cheerful roleplay, and warm seasonal vibes — distributed in <strong>GGUF</strong> format for the <strong>llama.cpp</strong> ecosystem.<br/>
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<sub>Optimized for low-RAM systems while retaining strong instruction-following and narrative tone.</sub>
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</p>
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---
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## Overview
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**GHOSTAI: Christmas Spirit (2B)** is a lightweight, personality-driven model focused on:
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- Cozy winter storytelling
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- Festive dialogue and roleplay
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- Family-friendly holiday themes
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- Cheerful, wholesome tone control
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This release targets **efficient inference** on laptops, desktops, and small servers while maintaining a consistent seasonal voice.
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The model is distributed as **GGUF**, making it compatible with:
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- CPU-only inference
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- GPU offload (CUDA / Metal / Vulkan via llama.cpp)
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Quantization choice controls memory and speed. GPU usage is configured at runtime.
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---
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## Base model
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- **Base:** Qwen-2.5-2B-Instruct
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- **Training:** LoRA fine-tune, merged and exported to GGUF
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- **Format:** llama.cpp GGUF v3+
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---
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## Files (this release)
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Approximate sizes for a 2B model. Actual sizes may vary slightly by build.
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| File | Quant | Approx size | Rough RAM needed (4k ctx) |
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|---|---:|---:|---:|
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| `christmas_qwen2b_v1.f16.gguf` | f16 | ~4.0 GB | ~5–6 GB |
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| `christmas_qwen2b_v1.Q8_0.gguf` | Q8_0 | ~2.3 GB | ~3.5–4 GB |
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| `christmas_qwen2b_v1.Q6_K.gguf` | Q6_K | ~1.8 GB | ~3 GB |
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| `christmas_qwen2b_v1.Q5_K_M.gguf` | Q5_K_M | ~1.6 GB | ~2.5–3 GB |
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| `christmas_qwen2b_v1.Q4_K_M.gguf` | Q4_K_M | ~1.4 GB | ~2–2.5 GB |
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| `christmas_qwen2b_v1.Q3_K_M.gguf` | Q3_K_M | ~1.1 GB | ~2 GB |
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| `christmas_qwen2b_v1.Q2_K.gguf` | Q2_K | ~0.9 GB | ~1.5–2 GB |
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**RAM notes**
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- Assumes ~4k context.
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- For 8k context, add ~0.5–1 GB.
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- GPU offload can move some memory to VRAM, but system RAM is still required.
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---
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## Recommended downloads
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- **Best default:** `Q4_K_M`
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- **Higher quality:** `Q5_K_M`, `Q6_K`, `Q8_0`
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- **Low RAM systems:** `Q3_K_M`, `Q2_K`
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- **Maximum fidelity:** `f16`
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---
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## Prompting style
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The model responds best to:
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- Clear role or tone definition
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- Warm, descriptive prompts
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- Explicit seasonal framing
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Example system prompt:
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> *You are GHOSTAI Christmas Spirit. Your responses are cozy, kind, and festive, with a warm holiday tone.*
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---
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## Quickstart (llama.cpp)
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### CPU-only
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```bash
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./llama-cli \
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-m christmas_qwen2b_v1.Q4_K_M.gguf \
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-ngl 0 \
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-c 4096 \
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-p "You are GHOSTAI Christmas Spirit. Write a cozy winter story set in a quiet town preparing for Christmas Eve."
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