WARP’s creator claims the engine can run GLM-5.3-Flash using as little as 5.14GB of memory and reach about 3.3 tokens per second on a 64GB Apple Silicon Mac, making very large sparse models locally runnable with modest memory.

state: expiredheat: lowuncertainty: highconvergesscott: mediumlocal-inference open-models inference-economicsWARPMarco Bambini Z.ai

What is this?

WARP is presented as a local inference engine whose creator, Marco Bambini, claims it can run Z.ai’s sparse 313B-parameter GLM-5.3-Flash with a reported 5.14GB memory footprint and roughly 3.3 tokens per second on a 64GB Apple Silicon Mac. The cited README performance table reportedly lists 3.32 tok/s over 64 tokens and 3.86 tok/s over 200 tokens. However, the supplied web results discuss general Apple Silicon inference and the smaller GLM-4.7-Flash rather than independently establishing WARP, its architecture, or the GLM-5.3 benchmark, so the exceptional memory claim remains unverified here.

Why it matters to Scott

The claimed engine converges with Scott’s hardware-aware local-inference work and Usable Mass thesis by suggesting that sparse frontier-scale models can become deployable on commodity unified-memory hardware. If independently reproduced, the 5.14GB/3.3 tok/s result would materially change local-inference economics and warrant testing against his model-serving substrate, but the supplied evidence is currently creator testimony rather than a reproducible benchmark.

ip:concept.usable-mass-over-unusable-powerip:concept.ai-unit-economicsip:concept.model-plus-harness-benchmark-unitip:concept.evaluation-driven-developmentdev:project.gamepcdev:concept.hardware-aware-local-inferenceradar:concept.local-inferenceradar:concept.sparse-moeradar:concept.apple-silicon-inferenceradar:concept.inference-economicsradar:deepseek-v4-flash-expert-streamingradar:freetoken-290b-moe-local-inferenceradar:swiftlet-ultralow-memory-inference

queries asked of Scott's wikis

sparse MoE local inference memory economics
Apple Silicon inference engines and unified memory
local model sovereignty through commodity hardware
extreme quantization versus model quality
open-weight frontier models for coding agents
local inference benchmarks and reproducibility

Measured heat

no measured readings yet — the hourly heat pass fills this in

How the heat travelled

no chain yet — the hourly chain pass fills this in

Evidence (4) — ⭐ canonical anchor

source	object	author	score	comments
🟧 hn	GLM-5.3-Flash at 3.3 tok/s	marcobambini	1	0
🟧 echo.github ⭐	The README’s performance table states: “GLM-5.3-Flash 313B … 3.32 tok/s” over 64 tokens and “3.86 tok/s” over 200. The commit message says t	Marco Bambini	—	—
🟧 hn	GLM-5.3-Flash on Apple Silicon	marcobambini	2	0
🟠 reddit	Is anyone successfully running GLM 5.3 Flash locally yet? LocalLLaMA	CentrifugalMalaise	2	50

Interpretation history

2026-09-05T13:26:03Z
The episode has faded without new WARP-specific evidence or an identifiable forthcoming test; discussion of other runtimes does not settle its exceptional memory and throughput claims. Expire the active watch without treating the claim as disproved, reopening on a material implementation update or independent end-to-end reproduction.
2026-09-03T12:29:03Z
The additional comments remain about other runtimes and quantizations, leaving WARP’s exceptional memory, throughput, startup-latency, and quality claims independently untested. Keep the implementation watchable, but shift to a long cadence until an end-to-end WARP reproduction appears.
2026-09-01T11:39:14Z
Further discussion remains about other runtimes and quantizations, not an independent WARP benchmark, so it does not alter the engine-specific claim. The case remains testable but creator-reported and no longer warrants frequent polling absent a reproduction.
2026-08-30T11:33:46Z
The refreshed discussion still provides no independent WARP run and only reinforces that GLM-5.3-Flash results vary sharply by runtime, quantization, and context length. The creator’s exceptional memory and throughput figures remain testable but uncorroborated, so repeated comment refreshes no longer merit close polling.
2026-08-30T00:28:10Z
The refreshed comments add no independent WARP execution or end-to-end benchmark; they continue to reflect broader backend immaturity and mixed quantization results. WARP’s headline memory and throughput claims remain a testable creator-reported outlier.
2026-08-29T22:39:57Z
The refreshed discussion still concerns alternative runtimes, quantization quality, and backend maturity rather than an independent WARP execution. WARP’s exceptional memory and throughput figures remain a testable creator-reported outlier with startup latency, storage behavior, and output quality unresolved.
2026-08-29T21:31:23Z
The refreshed comments still discuss other runtimes, quantization quality, and backend maturity rather than independently running WARP. The headline memory and throughput results remain a testable creator-reported outlier with unresolved startup latency, storage behavior, and output quality.
2026-08-29T20:27:36Z
The refreshed discussion remains repetitive amplification of backend immaturity, quantization quality, and alternative runtimes; it adds no independent WARP execution or comparable end-to-end benchmark. The creator’s unusually low memory and generation figures therefore remain testable but uncorroborated.
2026-08-29T17:29:10Z
Refreshed discussion adds anecdotes about alternative runtimes, quantization quality, and immature backend support, but still no independent WARP run or comparable end-to-end benchmark. The case remains a testable but creator-reported outlier whose practical startup latency, quality, and memory behavior are unresolved.
2026-08-29T16:28:32Z
The firsthand report makes backend choice and time-to-first-token central to the practical claim: GLM-5.3-Flash can be unusable on strong Apple Silicon under another runtime, without directly testing WARP. WARP’s exceptional memory and generation figures still need an independent end-to-end reproduction that includes startup latency, storage traffic, cache behavior, and output quality.
2026-08-29T16:23:47Z
evidence attached: reddit.post.1w1qp10 — A firsthand Apple Silicon deployment reports severe time-to-first-token, adding practical evidence about current GLM-5.3-Flash local-runtime limitations.
2026-08-28T16:29:52Z
The repository artifact turns the claim into a testable implementation rather than unsupported testimony, warranting watching status. The exceptional memory and throughput figures still come from the creator alone, with no independent reproduction or technical validation.
2026-08-28T16:25:02Z
evidence attached: hn.story.49480081 — The project repository is a first-party artifact supporting the open case that WARP can run GLM-5.3-Flash locally on Apple Silicon.
2026-08-27T18:07:07Z
No new evidence or engagement changes the case: the exceptional memory and throughput figures remain creator-reported and independently unreproduced. The implementation is still worth testing, but there is no fresh momentum requiring near-term attention.
2026-08-27T17:49:50Z
grounded: converges/medium — The claimed engine converges with Scott’s hardware-aware local-inference work and Usable Mass thesis by suggesting that sparse frontier-scale models can become
2026-08-27T17:46:51Z
origin walked (codex/luna, conf 0.99): anchor hn.story.49467974 -> echo.github.acf55669c2 by Marco Bambini
2026-08-27T17:45:46Z
case created — The concrete memory and throughput measurements describe a transferable local-inference technique for unusually large MoE models.

Decision trace

09-05 23:26expireThe episode has faded without new WARP-specific evidence or an identifiable forthcoming test; discussion of other runtimes does not settle its exceptional memory and throughput claims. Expire the acti
09-05 23:26alert_silentThis refresh contains no consequential new delta, only engagement changes. There is no new release, benchmark, or access change that Scott needs before the next briefing.
09-05 23:26alert_routeThis refresh contains no consequential new delta, only engagement changes. There is no new release, benchmark, or access change that Scott needs before the next briefing.
09-03 22:29repriceThe additional comments remain about other runtimes and quantizations, leaving WARP’s exceptional memory, throughput, startup-latency, and quality claims independently untested. Keep the implementatio
09-03 22:29alert_silentThe refreshed discussion supplies no engine-specific validation or falsification; Scott gains nothing from another alert before an independent WARP benchmark or material first-party update.
09-03 22:29alert_routeThe refreshed discussion supplies no engine-specific validation or falsification; Scott gains nothing from another alert before an independent WARP benchmark or material first-party update.
09-01 21:39repriceFurther discussion remains about other runtimes and quantizations, not an independent WARP benchmark, so it does not alter the engine-specific claim. The case remains testable but creator-reported and
09-01 21:39alert_silentThe refreshed comments neither validate nor falsify WARP’s claimed memory, throughput, startup latency, or output quality; repetitive anecdotes about other backends can wait for an independent end-to-
09-01 21:39alert_routeThe refreshed comments neither validate nor falsify WARP’s claimed memory, throughput, startup latency, or output quality; repetitive anecdotes about other backends can wait for an independent end-to-
08-30 21:33repriceThe refreshed discussion still provides no independent WARP run and only reinforces that GLM-5.3-Flash results vary sharply by runtime, quantization, and context length. The creator’s exceptional memo
08-30 21:33alert_silentNo new evidence directly validates or falsifies WARP’s engine-specific claims; refreshed anecdotes about other runtimes can wait for an independent end-to-end reproduction.
08-30 21:33alert_routeNo new evidence directly validates or falsifies WARP’s engine-specific claims; refreshed anecdotes about other runtimes can wait for an independent end-to-end reproduction.
08-30 21:21sensor_dirtycomment_update
08-30 10:28repriceThe refreshed comments add no independent WARP execution or end-to-end benchmark; they continue to reflect broader backend immaturity and mixed quantization results. WARP’s headline memory and through
08-30 10:28alert_silentNo new evidence directly validates or falsifies WARP, and the refreshed discussion does not materially change the engine-specific claim; this can wait for an independent reproduction.
08-30 10:28alert_routeNo new evidence directly validates or falsifies WARP, and the refreshed discussion does not materially change the engine-specific claim; this can wait for an independent reproduction.
08-30 10:21sensor_dirtycomment_update
08-30 08:39repriceThe refreshed discussion still concerns alternative runtimes, quantization quality, and backend maturity rather than an independent WARP execution. WARP’s exceptional memory and throughput figures rem
08-30 08:39alert_silentNo new evidence directly tests WARP or materially changes the engine-specific claim; repetitive runtime anecdotes can wait for an independent end-to-end reproduction.
08-30 08:39alert_routeNo new evidence directly tests WARP or materially changes the engine-specific claim; repetitive runtime anecdotes can wait for an independent end-to-end reproduction.
08-30 08:21sensor_dirtycomment_update
08-30 07:31repriceThe refreshed comments still discuss other runtimes, quantization quality, and backend maturity rather than independently running WARP. The headline memory and throughput results remain a testable cre
08-30 07:31alert_silentNo new evidence directly tests WARP or changes the engine-specific claim; repetitive discussion of alternative backends can wait for an independent end-to-end reproduction.
08-30 07:31alert_routeNo new evidence directly tests WARP or changes the engine-specific claim; repetitive discussion of alternative backends can wait for an independent end-to-end reproduction.
08-30 07:21sensor_dirtycomment_update
08-30 06:27repriceThe refreshed discussion remains repetitive amplification of backend immaturity, quantization quality, and alternative runtimes; it adds no independent WARP execution or comparable end-to-end benchmar
08-30 06:27alert_silentNo new comment directly tests WARP or materially changes the engine-specific claim, so alerting now would add noise; wait for an independent reproduction measuring memory, startup latency, throughput,
08-30 06:27alert_routeNo new comment directly tests WARP or materially changes the engine-specific claim, so alerting now would add noise; wait for an independent reproduction measuring memory, startup latency, throughput,
08-30 06:21sensor_dirtycomment_update
08-30 04:21sensor_dirtycomment_update
08-30 03:29repriceRefreshed discussion adds anecdotes about alternative runtimes, quantization quality, and immature backend support, but still no independent WARP run or comparable end-to-end benchmark. The case remai
08-30 03:29alert_silentThe new comments do not test WARP or materially change its claimed performance; they only reinforce already-known backend variability and can wait for a direct reproduction or technical analysis.
08-30 03:29alert_routeThe new comments do not test WARP or materially change its claimed performance; they only reinforce already-known backend variability and can wait for a direct reproduction or technical analysis.
08-30 03:21sensor_dirtycomment_update
08-30 02:28repriceThe firsthand report makes backend choice and time-to-first-token central to the practical claim: GLM-5.3-Flash can be unusable on strong Apple Silicon under another runtime, without directly testing
08-30 02:28alert_silentThe new deployment concerns Unsloth’s llama.cpp path rather than WARP, so it neither validates nor refutes the engine-specific claim. The refreshed comments add alternative runtimes but no reproducibl
08-30 02:28alert_routeThe new deployment concerns Unsloth’s llama.cpp path rather than WARP, so it neither validates nor refutes the engine-specific claim. The refreshed comments add alternative runtimes but no reproducibl
08-30 02:24alert_silentA single user reports multi-minute time-to-first-token with Unsloth’s llama.cpp PR on an M2 Ultra, but they did not test WARP. This neither validates nor contradicts WARP’s engine-specific 5.14GB and
08-30 02:24alert_routeA single user reports multi-minute time-to-first-token with Unsloth’s llama.cpp PR on an M2 Ultra, but they did not test WARP. This neither validates nor contradicts WARP’s engine-specific 5.14GB and
08-30 02:23attachA firsthand Apple Silicon deployment reports severe time-to-first-token, adding practical evidence about current GLM-5.3-Flash local-runtime limitations.