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日本語(JA) むっちゃ速いんだけど何これ… mlx-community/Ornith-1.0-35B-OptiQ-4bit Rapid-MLX --hybrid-cache-entries 6 # AI # LLM

mlx-community/Ornith-1.0-35B-OptiQ-4bit model praised for speed

By PulseAugur Editorial · [1 sources] ·

A user on Mastodon shared their experience with the mlx-community/Ornith-1.0-35B-OptiQ-4bit model, noting its exceptional speed. The post also mentioned the use of Rapid-MLX with a hybrid cache configuration. AI

IMPACT Highlights potential performance gains in LLM inference with specific hardware/software configurations.

RANK_REASON User experience with a specific model and tool.

Read on Mastodon — fosstodon.org →

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

mlx-community/Ornith-1.0-35B-OptiQ-4bit model praised for speed

How we ranked this

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
User experience with a specific model and tool.
Source corroboration
Single-source cluster
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.
Topics
model release
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
88 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 日本語(JA) · [email protected] ·

    This is incredibly fast, what is this... mlx-community/Ornith-1.0-35B-OptiQ-4bit Rapid-MLX --hybrid-cache-entries 6 # AI # LLM

    むっちゃ速いんだけど何これ… mlx-community/Ornith-1.0-35B-OptiQ-4bit Rapid-MLX --hybrid-cache-entries 6 # AI # LLM

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