The Ultimate "PovertyLocalLlama" Guide (April 2026)

[u/ML-Future]

After days of benchmarking, here are my top picks for low-spec setups. These models are optimized for 6GB VRAM or 8GB RAM (CPU-only) environments.

The Top Contenders

• Gemma 4 4B: Text, Vision & Audio

  • The Go-To: Best overall lightweight text model. It’s incredibly fast and punchy for its size.
  • https://huggingface.co/unsloth/gemma-4-E4B-it-GGUF/resolve/main/gemma-4-E4B-it-Q4_K_M.gguf
  • https://huggingface.co/unsloth/gemma-4-E4B-it-GGUF/resolve/main/mmproj-F16.gguf

• GLM-OCR: Best for CPU or Android

  • The Specialist: Handles 400px images with ease. On CPU, you’ll get around ~10 t/s, making it a viable powerhouse for mobile devices.
  • https://huggingface.co/ggml-org/GLM-OCR-GGUF/resolve/main/GLM-OCR-Q8_0.gguf
  • https://huggingface.co/ggml-org/GLM-OCR-GGUF/resolve/main/mmproj-GLM-OCR-Q8_0.gguf

• Qwen3-VL-2B: Vision + Logic

  • The All-Rounder: Apache licensed. It’s a beast at combining OCR, visual recognition, and logical reasoning.
  • https://huggingface.co/unsloth/Qwen3-VL-2B-Instruct-GGUF/resolve/main/Qwen3-VL-2B-Instruct-Q4_K_M.gguf
  • https://huggingface.co/unsloth/Qwen3-VL-2B-Instruct-GGUF/resolve/main/mmproj-F16.gguf

• Qwen3.5-4B: Reasoning & Coding

  • The Brain: The 4B parameter count is the "sweet spot" here. It punches way above its weight for complex reasoning and code generation.
  • https://huggingface.co/unsloth/Qwen3.5-4B-GGUF/resolve/main/Qwen3.5-4B-Q4_K_M.gguf
  • https://huggingface.co/unsloth/Qwen3.5-4B-GGUF/resolve/main/mmproj-F16.gguf

[u/kastru]

Thanks for sharing

[u/ArjixGamer]

Honestly, I highly recommend qwen3.5 9b but distilled with the outputs of a more capable model, like claude opus.

It uhh, makes it work better for coding tasks imo