Secondchancee/entry-coder-0.5-v3-256k-GGUF

Entry-Coder-0.5-v3-256k (GGUF Quantizations)

Optimized GGUF quantized releases for Secondchancee/entry-coder-0.5-v3-256k.

Designed for ultra-fast, local on-device inference using llama.cpp, LM Studio, Ollama, Jan, and ZCode.

Available Quantizations & Hardware Compatibility

Quantization	Bits	File Size	Recommended Hardware	Status
Q8_0	8-bit	~524 MB	Any CPU / Apple Silicon / GPU (>1GB VRAM)	Maximum Precision
Q4_K_M	4-bit	~325 MB	Ultra-light, embedded / Raspberry Pi / Any PC	High Speed & Balanced

1-Click Download Links

• 📥 Download Q8_0 GGUF (524 MB)
• 📥 Download Q4_K_M GGUF (325 MB)

Quick Start with llama.cpp

# Run 8-bit quantization
./llama-cli -m entry-coder-0.5-v3-256k-Q8_0.gguf -p "Write a Next.js 15 Server Action for user signup" -n 512

# Run 4-bit quantization
./llama-cli -m entry-coder-0.5-v3-256k-Q4_K_M.gguf -p "Write a Next.js 15 Server Action for user signup" -n 512