1-bit Kimi K3 GGUF Running Locally vs Claude Opus 5 and GPT 5.6

Melvin Vivas · X video post · 2026-07-30 · Open on X

Topics: LLM Fundamentals, LLMOps, Deployment & Monitoring, Fine-tuning & Model Customization · Level: intermediate

Summary

Unsloth released a 1-bit quantized GGUF of Kimi K3 and compared it with Claude Opus 5 and GPT 5.6 on the same creative coding prompt. The quantized model ran locally on 4x B200s at 36 tokens/s. Melvin notes that running it at home would take serious hardware, such as a Mac Studio with 128GB RAM.

Key points

• Kimi K3 was quantized to 1-bit GGUF by Unsloth.
• It ran locally on 4x B200 GPUs at 36 tokens/s.
• It was compared with Claude Opus 5 and GPT 5.6 on the same prompt: a glass aquarium that cracks and bursts.
• Extreme quantization makes huge models possible to run locally, but they still need a lot of memory.
• The creator suggests a Mac Studio with 128GB RAM for local use.

Resources mentioned

• Unsloth · tool · unsloth.ai · free
  Open-source library for fast, memory-efficient fine-tuning of open LLMs (LoRA/QLoRA) on a single GPU or in Colab.
  Also in: Run Laya Decision models locally with Unsloth on 4GB RAM (Melvin Vivas on X · notes), Unsloth passes 500M model downloads on Hugging Face (Melvin Vivas on X · notes), Run Qwen-Image-2.1 locally on 12GB VRAM with Unsloth GGUFs (Melvin Vivas on X · notes), Base vs fine-tuned Gemma 4 E2B as a model router (Melvin Vivas on X · notes) and 29 more
• Kimi K3 · tool · huggingface.co · free
  Moonshot AI's large multimodal LLM with a 1M-token context window and Kimi Delta Attention.
  Also in: Multi-Teacher On-Policy Distillation (MOPD) in 2026 (Melvin Vivas on X · notes), Qwen3.8-Max on the Frontend Code Arena cost-performance frontier (Melvin Vivas on X · notes), Code Arena Fullstack Benchmark: Kimi K3 Ranks #1 (Melvin Vivas on X · notes), Kimi K3 ranks #1 on Design Arena for frontend building (Melvin Vivas on X · notes) and 1 more

Try this

• Give the same creative coding prompt to several models, including a local quantized one, and compare the results.