Release notes from ollama

v0.35.1

2026-10-02T18:28:37Z

Clef decision models

Ollama now supports Clef and Clef Flash, Cloudflare's new open-source decision models, through /v1/systemone.

Clef (27B) and Clef Flash (9B) are multimodal: requests can now include images alongside the text state, shared by all questions and scored jointly with it.

curl http://localhost:11434/v1/systemone -d '{
  "model": "clef-flash",
  "state": "The user took this screenshot.",
  "images": ["<base64-encoded image>"],
  "questions": {
    "has_ollama": {"type": "noul", "instructions": "Does this image contain Ollama?"}
  }
}'

{
  "model": "clef-flash",
  "answers": {
    "has_ollama": {
      "type": "noul",
      "noul": 0.958
    }
  },
  "usage": {
    "input_tokens": 548,
    "output_tokens": 0
  }
}

What's Changed

Models using web search can now perform up to ten searches per response, up from three
Modelfiles now support CAPABILITY declarations, so model creators can explicitly declare what a model can do. Declarations are preserved when creating from GGUF or safetensors, through model inheritance, and on Modelfile export
ollama show and the model list now report only decision as the capability for decision models, so clients no longer offer them for general chat, tools, or thinking
Updated llama.cpp and the MLX engine

Full Changelog: v0.35.0...v0.35.1

v0.35.1-rc2

2026-10-02T01:05:01Z

ci: fix missing build context (#18742)

v0.35.1-rc1

2026-10-01T22:52:04Z

models: add clef support (#18741)

v0.35.1-rc0: create: support explicit model capabilities (#18708)

2026-09-29T18:10:25Z

Add CAPABILITY declarations to Modelfiles and an additive capabilities
field to create requests. Preserve declarations across GGUF and safetensors
creation, inheritance, and Modelfile export.

Require decision capability before scheduling System One requests instead
of matching Qwen architecture/renderer metadata. Retain main's GGUF-only
scoring restriction until the separate MLX runtime work lands.

Extracted from the capability foundation in 36d46a0 on system_one_mlx;
MLX scoring and manifest-list changes are intentionally separate.

v0.35.0

2026-09-29T23:56:54Z

Decision models

Ollama now supports decision models through /v1/systemone, based on TypeSafe’s Jev API.

Decision models return choices, probabilities, and scores instead of text. Use them for tasks such as ticket triage, model routing, and content classification.

Available models:

Nimble from Bespoke Labs
Tev1 from Together AI

ollama pull nimble

Send context and one or more questions:

curl http://localhost:11434/v1/systemone \
  -H 'Content-Type: application/json' \
  -d '{
    "model": "nimble",
    "state": "Our checkout has returned 500 errors since 9am.",
    "questions": {
      "label": {
        "type": "choice",
        "instructions": "Which label fits this ticket?",
        "criteria": {
          "billing": "Payments and refunds",
          "bug": "Software errors",
          "account": "Login and account access"
        }
      }
    }
  }'

Example response:

{
  "model": "nimble",
  "answers": {
    "label": {
      "type": "choice",
      "choice": "bug",
      "probabilities": {
        "billing": 0.0125,
        "bug": 0.9781,
        "account": 0.0093
      },
      "confidence": 0.8906
    }
  },
  "usage": {
    "input_tokens": 174,
    "output_tokens": 1
  }
}

The API supports three question types:

choice: Select an option and return probabilities for each.
noul: Return the probability that a condition is true.
score: Return a score across an ordered set of criteria

What's Changed

Settings now opens without waiting for model discovery.
Fixed the macOS update menu and icon not reflecting an available update at startup.
Fixed stalled MLX model downloads hanging indefinitely.
Requests containing the deprecated typical_p parameter now log a warning instead of failing.

Full Changelog: v0.34.4...v0.35.0

v0.35.0-rc1

2026-09-28T20:31:38Z

mlx: bound pull stall retries and let the watchdog interrupt them (#1…

v0.35.0-rc0

2026-09-28T20:21:01Z

feat: add System One scoring API (#18606)

v0.40.0

2026-09-25T15:22:00Z

What's Changed

Models run on MLX on Apple Silicon by default

In this release, on Apple Silicon devices, model architectures supported by the MLX runtime will automatically run on MLX.

ollama pull qwen3.8
ollama run qwen3.8

During the pre-release we will be testing and enabling additional models.

Full Changelog: v0.34.4...v0.40.0-rc0

v0.34.4

2026-09-24T04:45:43Z

What's Changed

Structured outputs on thinking models now apply in a single pass, making them faster and more reliable.
Fixed intermittent "model not found" errors with a large local library
Fixed the macOS app becoming unresponsive when checking if ChatGPT or Codex is running.
Qwen 3.8 prompt processing is faster on Apple Silicon.
Gemma 4 on Apple Silicon now picks the best image resolution per image, keeping more detail in high-resolution images.
Updated llama.cpp, MLX, and XGrammar.

Full Changelog: v0.34.3...v0.34.4

v0.34.4-rc1: mlxrunner: Update XGrammar to 0.2.7 for structured outputs

2026-09-23T23:36:46Z

We pick up schema fixes for typed dictionary values and short arrays.