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TielCoder 4-bit quant matches Opus4.6 medium on coding tasks

A new 22 GB 4-bit quantized model named TielCoder has been released, demonstrating strong performance in real-world coding tasks. It reportedly matches the capabilities of Opus4.6 medium and surpasses other Mixture of Experts (MoE) models like KAT-Coder and Nail in both speed and accuracy. TielCoder is based on Qwen3.8-27B and is optimized for efficient and correct agentic coding, with available GGUF and MLX formats. AI

IMPACT Provides a more efficient and performant coding assistant for local LLM users.

RANK_REASON Release of a quantized model based on existing architectures, not a frontier model release from a major lab.

Read on r/LocalLLaMA →

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

TielCoder 4-bit quant matches Opus4.6 medium on coding tasks

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/peculiar-ragdoll ·

    TielCoder's 22 GB 4-bit quant matches Opus4.6 medium on recent real life coding issues, surpassing KAT-Coder and Nail as strongest and fastest MoE picks.

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1vx33zj/tielcoders_22_gb_4bit_quant_matches_opus46_medium/"> <img alt="TielCoder's 22 GB 4-bit quant matches Opus4.6 medium on recent real life coding issues, surpassing KAT-Coder and Nail as strongest and fas…