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Ornith-1.0-35B GGUF model updated with speculative-decode graft

By PulseAugur Editorial · [1 sources] ·

A new version of the Ornith-1.0-35B model, specifically the GGUF format, has been updated with a native Multi Token Prediction (MTP) speculative-decode graft. This update enhances single-stream decode speeds by 1.3-1.35x, achieving up to 233.8 tokens per second. The model maintains a low Kullback–Leibler divergence (KLD) of 0.073, which is better than the Q4_K_M quantization, and offers improved performance for long-context scenarios. AI

IMPACT Enhances local LLM performance and efficiency for users running models on consumer hardware.

RANK_REASON Update to an existing open-source model with performance improvements and new features.

Read on r/LocalLLaMA →

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

Ornith-1.0-35B GGUF model updated with speculative-decode graft

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0 / 100
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Tool
Update to an existing open-source model with performance improvements and new features.
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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model release, product
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High
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90 days old
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COVERAGE [1]

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

    Ornith-1.0-35B GGUF update: native MTP speculative-decode graft + full serving/TTFT/long-context numbers (llama.cpp, tp=1)

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1ui4yn6/ornith1035b_gguf_update_native_mtp/"> <img alt="Ornith-1.0-35B GGUF update: native MTP speculative-decode graft + full serving/TTFT/long-context numbers (llama.cpp, tp=1)" src="https://preview.redd.it/…

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