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Model: ReXeeD/Luminus-1.5B-Roleplay-GGUF
Source: Original Platform

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README.md

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+---
+language:
+- en
+license: apache-2.0
+pipeline_tag: text-generation
+tags:
+- gguf
+- roleplay
+- chat
+- unsloth
+- imatrix
+- dpo
+- qwen
+
+library_name: transformers
+base_model: ReXeeD/Luminus-1.5B-Roleplay
+---
+
+# Luminus-1.5B-128K (GGUF & SOTA Imatrix)
+
+This is the GGUF repository for **Luminus-1.5B-128K**, a highly optimized 1.5B parameter model designed for immersive roleplay, character consistency, and Chain-of-Thought (CoT) reasoning. 
+
+For the original, unquantized `.safetensors` weights and detailed training methodology, please visit the [main repository](https://huggingface.co/ReXeeD/Luminus-1.5B-Roleplay).
+
+## 🧠 State-of-the-Art Calibration (Dynamic Imatrix)
+Small models (under 3B parameters) are notoriously fragile and often lose their reasoning capabilities when compressed. 
+
+To solve this, the quantized models in this repository (tagged with `-imat`) were explicitly calibrated using **Unsloth's Dynamic 2.0 KL-Divergence (KLD) quantization**. Instead of using generic Wikipedia text for calibration, these models were evaluated against the exact same high-quality Chain-of-Thought (CoT) and Roleplay dataset used during training. 
+
+This ensures that the specific neural pathways responsible for character logic, formatting, and `<think>` blocks are heavily protected, resulting in a quantized model that retains its intelligence and narrative depth even at 4-bit and 5-bit sizes.
+
+## 💾 Available Quantizations
+
+| File Name | Bitrate | Size | Quality | Recommendation |
+| :--- | :---: | :---: | :--- | :--- |
+| `Luminus-1.5B-Roleplay-F16.gguf` | 16-bit | ~3.0 GB | 100% | Uncompressed Master. Use if you have 4GB+ VRAM. |
+| `Luminus-1.5B-Roleplay-Q8_0.gguf` | 8-bit | ~1.6 GB | 99.9% | Near-perfect retention. |
+| `Luminus-1.5B-Roleplay-Q6_K-imat.gguf` | 6-bit | ~1.3 GB | 99.0% | **Best balance** of size and logic. |
+| `Luminus-1.5B-Roleplay-Q5_K_M-imat.gguf` | 5-bit | ~1.1 GB | 98.0% | **Highly Recommended** for average hardware. |
+| `Luminus-1.5B-Roleplay-Q4_K_M-imat.gguf` | 4-bit | ~0.9 GB | 95.0% | Standard use. |
+| `Luminus-1.5B-Roleplay-Q3_K_M-imat.gguf` | 3-bit | ~0.7 GB | 85.0% | Use only for extremely constrained hardware/phones. |
+
+*Note: F16 and Q8_0 do not carry the `-imat` tag as their compression levels are too light to require importance matrix tracking.*
+
+## ⚙️ How to Use
+
+These files are fully compatible with local frontends such as **LM Studio**, **KoboldCPP**, **Ollama**, and **text-generation-webui**. 
+
+Because of its extremely efficient size, the F16 or Q8 versions will easily fit entirely into the VRAM of budget GPUs (like an RTX 3050 4GB), running at lightning-fast speeds while leaving plenty of room for system overhead.
+
+### Recommended System Prompt
+Luminus is heavily trained to utilize `<think>` blocks before acting. Using the following system prompt yields the best results and ensures the model accurately formats its thoughts:
+
+```text
+You are a realistic, character-driven roleplay engine. You are roleplaying as {{char}}. Write strictly in third-person limited perspective.
+
+CORE RULES:
+- BOUNDARIES: NEVER speak, think, or generate actions for {{user}}. 
+- HISTORY & CONTEXT: Your reactions must logically follow past messages. Stay strictly in the present moment.
+- PACING & DIALOGUE: Keep it slow-burn and grounded. Keep dialogue concise. 
+- FORMATTING: You must strictly follow the thought process format below, followed by a short roleplay response, and then STOP IMMEDIATELY. Output the <|im_end|> token.
+
+Format your response EXACTLY like this:
+<think>
+1. INTENT: [User's intent in 1 sentence]
+2. STATE: [Character's emotional state in 1 sentence]
+3. PLAN: I will write 1 to 2 action sentences and 1 dialogue sentence, then STOP if user message is small else if he is asking something detailed reply in more detail.
+</think>
+*Grounded action and environmental description.*
+"Natural dialogue."
+```
+## Contact
+Need a custom version of this model for your specific need ?[albinthomas7034@gmail.com]