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Ollama releases v0.34.1 with MLX and GGUF model creation updates

By PulseAugur Editorial · [2 sources] ·

Ollama has released version 0.34.1, introducing several key updates. The release makes MLX safetensors "ollama create" functionality no longer experimental and improves memory handling for MLX on Apple Silicon. Additionally, GGUF model creation now necessitates the use of llama.cpp tooling for safetensor conversion and quantization, and runaway repeat token detection has been refined to reduce false positives. AI

IMPACT Improves the usability and performance of local LLM deployment for users of Ollama.

RANK_REASON This is a software release for a tool that facilitates running LLMs locally, not a frontier model release or core research.

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Ollama releases v0.34.1 with MLX and GGUF model creation updates

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This is a software release for a tool that facilitates running LLMs locally, not a frontier model release or core research.
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2 independent sources
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model release, product
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COVERAGE [2]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    ⚙️ New Ollama Release! ⚙️ Version: v0.34.1 Release Notes: ## What's Changed * MLX safetensors `ollama create` no longer experimental. GGUF model creation now re

    ⚙️ New Ollama Release! ⚙️ Version: v0.34.1 Release Notes: ## What's Changed * MLX safetensors `ollama create` no longer experimental. GGUF model creation now requires using llama.cpp tooling for safetensor conversion and quantization. * Improved MLX memory handling on Apple Silic…

  2. Mastodon — mastodon.social TIER_1 English(EN) · whatsnew_fyi ·

    Ollama v0.34.1 MLX safetensors ollama create no longer experimental. GGUF model creation now requires using llama.cpp tooling for safetensor conversion and quan

    Ollama v0.34.1 MLX safetensors ollama create no longer experimental. GGUF model creation now requires using llama.cpp tooling for safetensor conversion and quantization.; Improved MLX memory handling on Apple Silicon; Runaway repeat token detection now requires 100 repeat tokens …

    LINKS whatsnew.fyi/…/v0.34.1-rc1

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