AI Tool Profile
Ollama
Ollama’s useful distinction is local runtime versus Ollama-operated cloud behavior; neither supports a general performance or zero-metadata conclusion.
Verification & Sources
- Evidence state
- Source-verified
- Source links
- 6
- Freshness
- Checked August 10, 2026
- Last verified
- August 10, 2026
- Last updated
- August 10, 2026
What this evidence state means
- Definition
- The stated claim was checked against a named primary or authoritative source. This does not mean Kingy tested the product.
- Required provenance
- At least one public, named primary or authoritative source that directly supports the claim.
- Owner
- Kingy editorial reviewer
- Freshness rule
- Recheck within 30 days and after a material product, price, access, or source change.
- Disputes and corrections
- Use “Suggest a correction” on the record. Kingy editorial reviews the cited evidence, records material corrections, and changes or removes the state when it is not supported.
Suggest a correction
What It Does
Ollama’s useful distinction is local runtime versus Ollama-operated cloud behavior; neither supports a general performance or zero-metadata conclusion.
Full Guide
Kingy Product Passport · source-bound profile
Ollama
Ollama’s useful distinction is local runtime versus Ollama-operated cloud behavior; neither supports a general performance or zero-metadata conclusion.
Use this record when
Name the exact downloaded model, execution mode and hardware context before relying on an Ollama claim.
Boundary
No Kingy local-network observation, hardware benchmark, performance test or account-specific cloud test.
Approved source-bound claims
availability
Ollama documents support for macOS, Windows and Linux and a local API for installed models. Each downloaded model must be identified exactly and retains its own license, size, context, hardware and capability boundary.
Scope: Ollama runtime; operating-system version and hardware requirements apply · Evidence: ollama-quickstart, ollama-macos
privacy
Ollama says it does not see, store or transmit prompts or data when models run locally. This local-runtime statement excludes downloads and Ollama-operated cloud behavior; it is not a Kingy claim about performance, local-network behavior or zero metadata.
Scope: Local execution only; downloads and cloud features excluded · Evidence: ollama-privacy
privacy
For Ollama-operated cloud models, Ollama says prompts and responses are processed transiently, are not stored and are not used for training, while limited account and usage metadata is collected. This cloud statement does not describe local runtime behavior.
Scope: Ollama-operated cloud models; terms and policy apply · Evidence: ollama-privacy
Evidence gaps
- Each downloaded model retains its own license, context, hardware and capability boundary.
- No Kingy local/network observation or hardware benchmark.
Official sources
- Ollama quickstart — Ollama
- Ollama for macOS — Ollama
- Ollama FAQ — Ollama
- Ollama Privacy Policy — Ollama
- Ollama Terms of Service — Ollama
Freshness and corrections
Source checked 2026-08-10. Kingy has not hands-on tested this product. Corrections are handled through the existing Kingy editorial process.
Tool Links
Launch History
Ollama v0.30.10 release
Ollama released v0.30.10 with Apple Silicon MLX support for Command A and North family models, plus llama.cpp and build-artifact updates.
- Launch readiness
- 7.7 / 10
- Demo evidence
- Not scored yet
- Creator-story fit
- Not scored yet
Score definitions and rubric
These are launch-record readiness heuristics, not product ratings.
Launch readiness
How complete and reviewable the launch record is, not the quality of the product.
Inputs and weights: Launch date 15%; qualifying source 10%; what launched 10%; demo 15%; category 10%; audience 10%; editorial assessment 10%; traction evidence 10%; creator or audience fit 10%.
Evidence inputs: Reviewed launch metadata, public source links, demo links, taxonomy, audience, editorial notes, and recorded traction signals.
Demo evidence
Whether the record contains useful, reviewable demonstration evidence; it is not a rating of product output quality.
Inputs and weights: Working demo URL 45%; video walkthrough 25%; clear description of what launched 10%; audience 10%; editorial assessment 10%.
Evidence inputs: Demo and video URLs plus the reviewed launch description, audience, and editorial notes.
Creator-story fit
Whether a launch has enough demonstrable evidence and audience relevance for a useful creator story; it does not predict views or guarantee coverage.
Inputs and weights: Demo evidence 25%; visual creator category 15%; audience 15%; editorial assessment 15%; traction evidence 10%; pricing clarity 10%; API or open-weight evidence 10%.
Evidence inputs: Reviewed demo, category, audience, editorial, traction, pricing, API, and open-weight fields.
- Scale
- 0.0–10.0. A present qualifying input receives its published weight; a missing input receives zero. Scores are rounded to one decimal.
- Assigned by
- Suggested by the deterministic field-completeness helper and assigned or approved by a Kingy editorial reviewer.
- Rubric and check date
- Rubric version P0-2026-08-10. The record’s “Last verified” date is the score check date. Checked: 2026-06-24.
- Confidence and missing data
- Confidence depends on source completeness. “Not scored yet” means no reviewed value; “Needs review” means the value or score set failed validation.
- Freshness
- Recalculate after a material launch, source, demo, pricing, audience, or traction change and during the record freshness review.
- Disputes
- Use “Suggest a correction” on the record and cite the relevant evidence. Commercial relationships cannot buy or alter a score.
Ollama's v0.30.10 release adds Apple Silicon MLX support for the Command A and North model families, plus llama.cpp and build-artifact updates, per the GitHub…