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---
license: apache-2.0
tags:
- gguf
- coding
- quantized
- Q6_K
- olympiccoder
- llama.cpp
- sychonix
inference: false
base_model: bartowski/open-r1_OlympicCoder-7B-GGUF
model_type: llama
quantization_config:
quant_method: bitsandbytes
load_in_4bit: false
load_in_8bit: false
weight_dtype: float16
bnb_4bit_quant_type: nf4
---
# 🧠 OlympicCoder 7B Q6
Optimized and quantized version of OlympicCoder 7B designed for algorithmic reasoning, coding challenges, and symbolic inference.
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## 🧩 Model Details
- **Model Name**: OlympicCoder 7B Q6
- **Quantization**: Q6_K
- **Format**: GGUF
- **Size**: 6.25 GB
- **Architecture**: LLaMA-style 7B
- **Compatibility**: `llama.cpp`, `KoboldCpp`, `LM Studio`, `text-generation-webui`
---
## 🔧 Recommended Use
- 🧮 LeetCode / CodeForces-style problem solving
- 💻 Competitive programming and algorithmic reasoning
- 🛠️ General-purpose code generation
---
## 🚀 How to Use (with `llama.cpp`)
```bash
./main -m open-r1_OlympicCoder-7B-Q6_K.gguf -p "Write a Python function to solve the 2-sum problem."
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