ollama v0.40.9
21d
- Published
- Collected
Flint on Linux and Windows [Flint](https://ollama.com/library/flint) now runs on Linux and Windows as well as macOS. Other improvements - Streaming OpenAI Responses and Anthropic Messages requests now report generation failures instead of ending silently after partial output. - ollama launch now passes cloud models' context lengths and capabilities to coding tools, fixing incorrect context and compaction settings. - Anthropic-compatible web…
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Log in to follow this sourceollama v0.40.16
Ripple Preview [Ripple Preview](https://ollama.com/library/ripple-preview) from Ricursive Intelligence is a 65B dense model built for agentic coding. sh ollama run ripple-preview What's Changed - Qwen3.8 Flash Next uses about 27 GiB less memory on Apple silicon - ollama launch claude always routes Claude Code to the selected model - ollama launch explains when a cloud model has been retired - /v1/responses…
transformers Patch release v5.22.2
Patch release v5.22.2 Some in between patch for security and distributed fixes. See the included commits :hugs: - [Distributed] Set device_id only for NCCL (50281) by @michaelbenayoun and @3outeille - Harden our Jinja sandboxing (50431) by @Rocketknight1 Full Changelog: https://github.com/huggingface/transformers/compare/v5.22.1...v5.22.2
ollama v0.40.15
MiMo V2.6 Xiaomi MiMo's [mimo-v2.6](https://ollama.com/library/mimo-v2.6), a 9B model built for code and agent workflows, is now supported in Ollama. sh ollama run mimo-v2.6 AutoTrust decision models [AutoTrust](https://ollama.com/library/autotrust-jev) decision models read text and return choices, yes or no probabilities, and ratings for the questions you supply. The family includes 9b, 35b, and 27b-vl sizes — the 35b and 27b-vl sizes can…
ollama v0.40.14
What's Changed ollama launch claude now applies the model's output token limit for Claude Code, so cloud models no longer run into the 128k default cap Cloud web search responses on /api/chat are now decoded correctly, including compressed responses OpenAI-compatible endpoints no longer override a model's packaged sampler defaults — clients that send no temperature/top_p get the model's own values…