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Best 8GB VRAM Local LLMs for Coding and Agentic Tasks Sought on Reddit

A Reddit user on the r/LocalLLaMA subreddit is seeking recommendations for the best local large language models (LLMs) that can run effectively on a system with 8 GB of VRAM, specifically for coding and agentic coding tasks. The user shares their current setup, which includes an RTX 3070 Laptop GPU with 8 GB VRAM, and their preferred model, Qwen3.6-35B-A3B-UD-IQ4_NL by Unsloth, which achieves approximately 25 tokens/s for agentic coding. They are prioritizing a balance of speed, coding ability, tool use, reliability, and the quality of the final output over raw benchmark scores, and are asking the community for their real-world experiences and model suggestions. AI

IMPACT Provides insights into optimizing LLM performance on consumer-grade hardware for coding tasks.

RANK_REASON User-generated discussion and request for recommendations on running LLMs with limited hardware.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Best 8GB VRAM Local LLMs for Coding and Agentic Tasks Sought on Reddit

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/Elemental_Particle ·

    What's the best local model you've found for 8 GB of VRAM?

    <!-- SC_OFF --><div class="md"><p>I'm curious what other people are using for <strong>local LLM coding / agentic coding with only 8 GB of VRAM</strong>.</p> <p>My current setup is:</p> <ul> <li>Intel <strong>Core i7-11800H</strong></li> <li><strong>RTX 3070 Laptop</strong>, 8 GB …