What’s New

Ollama

AI

Get up and running with large language models locally.

Latest v0.32.5 · by OllamaWebsiteollama/ollama

Changelog

v0.32.4

Added
  • Support Laguna on Apple GPUs via the MLX engine
Changed
  • Quantize draft-model output heads at the requested type when creating speculative-decoding drafts
  • Faster packed gate/up projection for Qwen3 MoE decoding on M5 Max
Fixed
  • Fixed Qwen3 MoE decoding for differently-quantized experts and improved packed gate/up projection performance
What's Changed
  • Support Laguna on Apple GPUs via the MLX engine
  • Quantize draft-model output heads at the requested type when creating speculative-decoding drafts.
  • Fixed Qwen3 MoE decoding for differently-quantized experts, plus faster packed gate/up projection (~4–9% on M5 Max).

Full Changelog: https://github.com/ollama/ollama/compare/v0.32.3...v0.32.4

v0.32.3

Added
  • Added CUDA support on Windows ARM64
  • Added B200 GPU support through CUDA 12
  • Added chat, thinking, and tool calling support for Laguna 2.1 models
Changed
  • Made Hermes Desktop respect --force-build flag
  • Reduced memory usage on Linux CUDA/ROCm iGPUs
  • Updated the MLX engine
  • Updated the llama.cpp engine
Fixed
  • Fixed model downloads that stall before sending data
  • Restored Claude Code Channels in integrations
  • Fixed Anthropic thinking streams in integrations
  • Fixed Metal inference for Laguna 2.1 models
  • Fixed GLM tool calls being silently dropped at the end of generation
What's Changed
  • Fixed model downloads that stall before sending data.
  • Improved integrations: restored Claude Code Channels, fixed Anthropic thinking streams, and made Hermes Desktop respect --force-build.
  • Expanded GPU support with CUDA on Windows ARM64, B200 support through CUDA 12, and lower memory use on Linux CUDA/ROCm iGPUs.
  • Added chat, thinking, and tool calling support for Laguna 2.1 models, including a Metal inference fix.
  • Fixed GLM tool calls being silently dropped at the end of generation.
  • Updated the MLX and llama.cpp engines.

Full Changelog: https://github.com/ollama/ollama/compare/v0.32.1...v0.32.3

v0.32.1

Changed
  • Improved Gemma 4 tool calling and multi-turn reasoning, including more reliable tool-response continuations
  • Improved MLX cache snapshot performance
  • MLX text model loading now respects OLLAMA_LOAD_TIMEOUT
  • Agent web search and fetch now tell users to run ollama signin when authentication is required
  • The interactive agent now receives the current working directory for better project context
Fixed
  • Fixed a recurrent MLX model cache leak that could increase memory use across requests
  • Fixed ollama launch so choosing Pick another model for a deprecated model passed with --model opens the model picker
What's Changed
  • Improved Gemma 4 tool calling and multi-turn reasoning, including more reliable tool-response continuations
  • Fixed a recurrent MLX model cache leak that could increase memory use across requests, and improved cache snapshot performance
  • MLX text model loading now respects OLLAMA_LOAD_TIMEOUT
  • Agent web search and fetch now tell users to run ollama signin when authentication is required
  • The interactive agent now receives the current working directory for better project context
  • Fixed ollama launch so choosing Pick another model for a deprecated model passed with --model opens the model picker
  • Updated VS Code setup documentation for the official Ollama extension

Full Changelog: https://github.com/ollama/ollama/compare/v0.32.0...v0.32.1-rc0

v0.32.0

Added
  • New interactive agent experience when running ollama command to help with coding and delegating work
  • Deprecation warnings before launching older agent models including CodeLlama, Qwen2.5(-coder), Llama 3.x, Mistral, StarCoder, and base DeepSeek-R1 tags
Changed
  • Renamed Codex App integration to ChatGPT with ollama launch chatgpt command
  • Simplified integration selection in ollama launch menu to show only the most popular integrations
What's Changed
  • New interactive agent experience: running ollama now launches an agent to help you code and delegate work
❯ ollama
Ollama 0.32.0

▸ Chat, Code, & Work (glm-5.2:cloud)
    Chat with models, code, search the web, and delegate real work
  • Renamed the Codex App integration to ChatGPT: use ollama launch chatgpt (and --restore to return to your usual ChatGPT profile)
  • Simplified integration selection: the ollama launch menu now only offers the most popular integrations (other integrations can be accessed through ollama launch
  • Warns before launching older agent models: CodeLlama, Qwen2.5(-coder), Llama 3.x, Mistral, StarCoder, and the base DeepSeek-R1 tags now prompt a deprecation warning before ollama launch continues

Full Changelog: https://github.com/ollama/ollama/compare/v0.31.2...v0.32.0

v0.31.2

Changed
  • Enabled flash attention on older NVIDIA GPUs (compute capability 6.x)
  • iGPU can now offload vision models with padding to fit available memory
  • Hardened GGUF model creation
  • ollama launch for Claude Code now disables telemetry by default
  • Updated the MLX and llama.cpp engines
Fixed
  • Fixed structured output for thinking models when thinking is disabled
  • Fixed loading models on paths with non-UTF-8 characters
What's Changed
  • Enabled flash attention on older NVIDIA GPUs (compute capability 6.x)
  • iGPU can now offload vision models with padding to fit available memory
  • Fixed structured output for thinking models when thinking is disabled
  • Hardened GGUF model creation
  • ollama launch for Claude Code now disables telemetry by default
  • Fixed loading models on paths with non-UTF-8 characters
  • Updated the MLX and llama.cpp engines
New Contributors

Full Changelog: https://github.com/ollama/ollama/compare/v0.31.1...v0.31.2

v0.31.1

Changed
  • Improved Gemma 4 multi-token prediction (MTP) performance on Apple Silicon
  • Tightened Gemma 4 MoE model loading in the MLX engine
  • Updated the MLX engine to the latest version, including a new small-batch matmul kernel
  • Updated the underlying llama.cpp engine to build 9840
Faster Gemma 4 on Apple Silicon

Gemma 4 is now significantly faster in Ollama on Apple Silicon, generating tokens nearly 90% faster on average across a coding-agent benchmark by leveraging multi-token prediction (MTP). Ollama auto-tunes how many tokens to draft as it runs, so the speedup is on by default, requires no configuration, and does not change the model's output.

What's Changed
  • Tightened Gemma 4 MoE model loading in the MLX engine
  • Updated the MLX engine to the latest version, including a new small-batch matmul kernel
  • Updated the underlying llama.cpp engine to build 9840
  • Improved Gemma 4 multi-token prediction (MTP) performance

Full Changelog: https://github.com/ollama/ollama/compare/v0.30.12...v0.31.1

v0.30.12-rc0Pre-release

v0.30.12

Changed
  • Bump mlx dependency
  • Update llama.cpp
Fixed
  • Ignore braces inside JSON strings when detecting tool call end
What's Changed
New Contributors

Full Changelog: https://github.com/ollama/ollama/compare/v0.30.11...v0.30.12-rc0

v0.30.11

Added
  • Add thinking capability detection to opencode
  • Auto-install Claude Code
  • Auto-install opencode when missing
  • Add sm_86 architecture to cuda_v13_windows preset
  • Add CC 87 for CUDA v13 on Jetson
Changed
  • Unify and tune speculative decoding
  • Detect model drift when Codex App UI switches
  • Size mmproj offload by projector memory
  • Preserve generation headroom for shifted prompts
  • Default qwen2.5vl window attention metadata
  • Use host Vulkan loader on Windows
  • Update and fix CUDA JIT packaging
  • Align generate with native chat templates
  • Update llama.cpp version
Fixed
  • Fix inverted iGPU/dGPU Vulkan classification on Windows hybrid graphics
  • Fix ollama ps double-counting mmap'd weights on partial offload
What's Changed
New Contributors

Full Changelog: https://github.com/ollama/ollama/compare/v0.30.10...v0.30.11-rc0

v0.30.10

Added
  • Command A and North family models now run on Apple Silicon with the MLX engine
Changed
  • Update the underlying llama.cpp engine to build 9672
Fixed
  • Fix build artifacts for MLX
What's Changed
  • Command A and North family models now run on Apple Silicon with the MLX engine
  • Updated the underlying llama.cpp engine to build 9672
  • Fixed build artifacts for MLX

Full Changelog: https://github.com/ollama/ollama/compare/v0.30.9...v0.30.10

v0.30.9

Added
  • Support for Cohere2Moe architecture
Changed
  • Ollama will now return an error if a single message is larger than the current context window
Fixed
  • Fixed LFM2 parser/render for cases where thinking was not emitted
  • Fixed issue where ollama launch claude and other coding agent or assistant use cases would only output one token
What's Changed
  • Support for Cohere2Moe architecture
  • Fixed LFM2 parser/render for cases where thinking was not emitted
  • Fixed issue where ollama launch claude and other coding agent or assistant use cases would only output one token
  • Ollama will now return an error if a single message is larger than the current context window

Full Changelog: https://github.com/ollama/ollama/compare/v0.30.8...v0.30.9-rc1