IBM Granite is IBM’s family of open language models aimed at enterprise and agentic workloads, including coding, RAG, structured output, and tool use. IBM’s material for Granite 4.0 and 4.1 emphasizes reducing memory, latency, and token costs, including choosing between reasoning and non-reasoning behavior according to the task. However, the supplied search snippets do not directly document Granite 4.2 30B or independently establish its configurable modes, coding quality, tool-use reliability, or local-inference costs, so those remain claims requiring evaluation.
The radar already tracks essentially the same evaluation territory in `radar:claude-code-effort-controls`, `radar:mindcontrol-llamacpp-reasoning-budgets`, and `radar:kat-coder-v2-5-dev-validation`; Granite 4.2 is a new candidate rather than a new thesis. It could still affect Scott’s `ask` agent and `gamepc` model zoo if independent tests establish useful tool-call quality and hardware-feasible latency, but the supplied material does not yet establish those capabilities.
ip:concept.inference-time-scalingip:concept.evaluation-driven-developmentdev:project.askdev:project.gamepcdev:concept.hardware-aware-local-inferenceradar:claude-code-effort-controlsradar:mindcontrol-llamacpp-reasoning-budgetsradar:kat-coder-v2-5-dev-validationradar:concept.local-inferenceradar:concept.model-evaluation
queries asked of Scott's wikis
- configurable reasoning versus non-reasoning modes
- local model latency and memory economics
- small models for coding-agent tool use
- multi-step tool-call reliability and structured output
- open-weight enterprise model strategy
- local inference benchmark methodology
2026-09-03T12:28:22Z
Repeated staleness checks have produced no independent evaluation or deployment evidence, and release discussion has faded without clarifying practical coding, tool-use, latency, or memory performance. This episode can expire; a substantive benchmark or implementation report should open a fresh case.
2026-09-01T11:37:56Z
The staleness update adds only marginal engagement and no independent evaluation or deployment evidence, so the case remains an unevaluated local-model candidate. Frequent review is no longer warranted; revisit when a credible coding, tool-use, latency, memory, or hardware-fit result appears.
2026-08-30T11:31:43Z
The staleness check adds no evaluation or implementation evidence, so the case remains an unevaluated local-model candidate rather than a validated capability story. Further review should wait for a credible benchmark or concrete local deployment report.
2026-08-28T10:30:11Z
The newly attached HN item is duplicate secondary coverage of the release, not an independent evaluation or implementation result. The case remains an unevaluated local-model candidate and should stay cool until credible coding, tool-use, latency, memory, or hardware-fit evidence appears.
2026-08-28T10:23:35Z
evidence attached: hn.story.49476598 — shared external link with case evidence
2026-08-26T16:31:16Z
The attached HN item is independent coverage of the release, not an independent evaluation of coding, tool use, latency, memory, or local-stack compatibility. The case therefore remains an unevaluated model candidate despite broader notice.
2026-08-26T16:24:27Z
evidence attached: hn.story.49451167 — Independent coverage of IBM Granite 4.2 directly corroborates the open case about its local reasoning, coding, and tool-use tradeoffs.
2026-08-26T03:26:57Z
The refreshed comments remain amplification of licensing praise and benchmark skepticism, not independent evidence about coding, tool use, latency, memory, or implementation quality. The case still means “released candidate awaiting evaluation” and no longer warrants frequent comment-driven review.
2026-08-25T23:36:29Z
The refreshed discussion remains repetitive licensing praise and benchmark skepticism, without independent coding, tool-use, latency, memory, or implementation results. The case still represents an unevaluated local-model candidate rather than a validated capability development.
2026-08-25T20:41:19Z
The refreshed discussion remains repetitive licensing praise and benchmark skepticism, with no independent coding, tool-use, latency, or memory results. The case still awaits substantive evaluation and gains no new meaning from this comment update.
2026-08-25T19:46:48Z
The refreshed discussion is further repetition of licensing praise and benchmark skepticism, not an independent evaluation of coding, tool use, latency, or memory. The case remains a plausible local-model candidate but has gained no substantive validation.
2026-08-25T18:40:22Z
The refreshed comments remain repetitive licensing praise, benchmark skepticism, and intent to test; they add no independent evidence on coding, tool use, latency, or memory. Keep the case cool pending substantive evaluations.
2026-08-25T17:42:52Z
The refreshed discussion remains licensing praise, benchmark skepticism, and intent to test rather than independent evidence about coding, tool use, latency, or memory. It adds no new meaning to the case, which should stay cool until substantive evaluations appear.
2026-08-25T16:46:19Z
Refreshed comments remain repetitive skepticism and intent to test, without independent coding, tool-use, latency, or memory results. The release is still a plausible local-model candidate, but this discussion adds no substantive validation and the episode can cool pending actual evaluations.
2026-08-25T15:49:26Z
The expanded discussion adds skepticism about IBM’s lack of comparisons and interest in testing, but no independent results yet clarify coding, tool-use, latency, or memory performance. This remains a released candidate awaiting substantive evaluation rather than a corroborated capability story.
2026-08-25T15:30:04Z
grounded: known/medium — The radar already tracks essentially the same evaluation territory in `radar:claude-code-effort-controls`, `radar:mindcontrol-llamacpp-reasoning-budgets`, and `
2026-08-25T15:27:33Z
case created — IBM has released a concrete open model with configurable reasoning and tool-calling features directly relevant to local agent workloads.