v1.0.71
inboundemail/inboundv1.0.71Apr 23, 2026by rltakashige
AI Summary
Patch release adding Kimi K2.6 model support, improved sampling defaults, and bug fixes for M5 Macs and RDMA.
Key Highlights
- Kimi K2.6 multimodal model support
- Improved sampling defaults (min_p, top_k) for better output quality
- Pi integration tab
- Fixes for vision models on M5 series Macs
New Features
- Kimi K2.6 model support
- Pi integration
- Recommended sampling defaults
- Multiple tool call handling in APIs
- Image cache population
Full Release Notes
# EXO v1.0.71 Release Notes This is a small patch release, with better defaults for sampling and bug fixes for M5 series Macs and RDMA, along with support for the new Kimi K2.6. ## Models - Add Kimi K2.6, including support for multimodality ([#1952](https://github.com/exo-explore/exo/pull/1952)) - Add model cards for Qwen3.6 27B, GLM 5.1 and Kimi K2.6 quantisations ([#1970](https://github.com/exo-explore/exo/pull/1970)) ## Performance - Add recommended sampling defaults (from model providers) to improve model output quality, including min_p and top_k ([#1947](https://github.com/exo-explore/exo/pull/1947)) - Prevent JACCL all_sum from corrupting output ([#1952](https://github.com/exo-explore/exo/pull/1952)) ## Quality of Life - Add a Pi integration tab! ([#1925](https://github.com/exo-explore/exo/pull/1925)) - Handle multiple tool calls correctly in the Claude and Responses APIs ([#1952](https://github.com/exo-explore/exo/pull/1952)) - Add a friendly context message for bug reporting ([#1959](https://github.com/exo-explore/exo/pull/1959)) ## Bug Fixes - Fix vision models on M5 series Macs by fixing addmm on NAX ([#1927](https://github.com/exo-explore/exo/pull/1927)) - Fix prefix cache for Qwen3.6 ([#1952](https://github.com/exo-explore/exo/pull/1952)) - Prevent complete downloads from losing their Completed status ([#1956](https://github.com/exo-explore/exo/pull/1956), [#1958](https://github.com/exo-explore/exo/pull/1958)) - Populate the image cache from events to prevent crashes ([#1961](https://github.com/exo-explore/exo/pull/1961)) - Fix DeepSeekV32 parsing and tensor parallelism for Gemma 4 models with effective parameters ([#1967](https://github.com/exo-explore/exo/pull/1967)) ## New Contributors And a thank you to [@nhwaani](https://github.com/nhwaani) who made their first contribution here! **Full Changelog**: [https://github.com/exo-explore/exo/compare/v1.0.70...v1.0.71](https://github.com/exo-explore/exo/compare/v1.0.70...v1.0.71)