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Model: Abhiray/LocoTrainer-4B-GGUF
Source: Original Platform

README.md

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+---
+license: apache-2.0
+base_model: LocoreMind/LocoTrainer-4B
+library_name: llama.cpp
+tags:
+- llama-cpp
+- gguf-quantized
+- text-generation
+- reasoning
+---
+
+# LocoTrainer-4B GGUF
+
+This repository contains GGUF format quantizations of **LocoTrainer-4B**, a distilled reasoning model based on the Qwen architecture.
+
+## Model Description
+- **Base Model:** [LocoreMind/LocoTrainer-4B](https://huggingface.co/LocoreMind/LocoTrainer-4B)
+- **Format:** GGUF (compatible with `llama.cpp` and ecosystem)
+
+## Available Quants
+| File | Size | Description |
+| :--- | :--- | :--- |
+| **LocoTrainer-4B-Q4_K_M.gguf** | ~2.5 GB | 4-bit Medium. Best balance of speed and quality for general use. |
+| **LocoTrainer-4B-Q5_K_M.gguf** | ~2.8 GB | 5-bit Medium. High quality with a slightly larger footprint. |
+| **LocoTrainer-4B-Q6_K.gguf** | ~3.2 GB | 6-bit. Near-lossless quantization. |
+| **LocoTrainer-4B-Q8_0.gguf** | ~4.2 GB | 8-bit. Maximum fidelity, equivalent to original weights. |
+
+## Usage
+
+### llama.cpp
+You can run these models using the `llama-cli`:
+```bash
+./llama-cli -m LocoTrainer-4B-Q4_K_M.gguf -p "What is the capital of France?" -n 128