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Qwen3.8-27B model fine-tuned for coding on 24GB cards

By PulseAugur Editorial · [1 sources] ·

A fine-tuned version of the Qwen3.8-27B model, optimized for coding tasks, has been released. This version, named CODER, is quantized and fitted using LexiPanel to fit within a 24GB graphics card, offering a context window of approximately 262k tokens. It demonstrates fast and reliable draft acceptance, with measured speeds of 36-41 tokens/s even with over 100k tokens in context. AI

IMPACT Enables local execution of advanced coding models on consumer hardware, potentially improving developer workflows.

RANK_REASON Release of a fine-tuned open-source model for local deployment.

Read on r/LocalLLaMA →

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

Qwen3.8-27B model fine-tuned for coding on 24GB cards

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Release of a fine-tuned open-source model for local deployment.
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model release, product
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COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/W61k3r ·

    Tuned/abliterated Qwen3.8-27b into a 24gb card 262k guff using the newest unreleased version of LexiPanel. It's fast with reliable draft acceptance. Made for 7900xtx but should work on whatever 24gb card with this setup and headless. Doesn't get dumber while coding like most of the other fine-tunes.

    <!-- SC_OFF --><div class="md"><p><a href="https://huggingface.co/Wa1k3r/Qwen3.8-27b-CODER-4q_xs-24GB-262k-Optimalcardfit">https://huggingface.co/Wa1k3r/Qwen3.8-27b-CODER-4q_xs-24GB-262k-Optimalcardfit</a> </p> <h1>Qwen3.8-27B CODER — IQ4_XS imatrix · 24 GB card fit · ~262k conte…

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