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Developers with 64GB VRAM discuss preferred coding models

Developers with 64GB of VRAM are discussing their preferred models for coding tasks. One user highlighted their satisfaction with an unsloth version of the Qwen 3.5 122b-a10b model, noting its performance and large context window. This user also mentioned using Qwen 3.6 models and is seeking input from others with similar hardware capabilities. AI

IMPACT Provides insight into current user preferences for local LLM deployments on high-end hardware.

RANK_REASON User discussion about model preferences for specific hardware, not a new release or significant industry event.

Read on r/LocalLLaMA →

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

Developers with 64GB VRAM discuss preferred coding models

COVERAGE [1]

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

    Devs - you have 64gb of VRAM - which model do you use for coding?

    <!-- SC_OFF --><div class="md"><p>I've currently settled on an unsloth version of Qwen 3.5 122b-a10b model (UD-IQ4_NL). With 100k bf16 context window, I only had to load a few layers into CPU/RAM, it runs around 30 tok/sec which is fine for me.</p> <p>I've tested many models, hou…