feat: unified memory estimator with mlxcel inspect and generate/serve preflight#67
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Combine the three already-landed building blocks from epic #52 into a single pre-load memory budget and surface it through three callers that all share the one estimator (no duplicate logic): - `mlxcel inspect <model>` — new read-only subcommand that prints the byte breakdown for weights / KV cache / runtime activation headroom vs available unified memory, without loading any tensors. Accepts `--max-tokens N`, `--batch N`, `--quant {default,fp16,int8,int4}`, and the shared `--cache-type-k` / `--cache-type-v` flags so the estimate matches what the loaded model would allocate. - `mlxcel generate --estimate-memory` and `mlxcel serve --estimate-memory` — preflight that runs the same estimator and aborts with a clear error when total > available. `--force` (alias `--no-memory-check`) downgrades the abort to a warning and continues. Uses `--max-tokens` (generate) / `--ctx-size` (serve) as the KV ctx-len input so the preflight matches the run that follows. - `--recommend-quant` now pulls its KV and weight inputs through the same `estimate_total_memory` function instead of computing them separately, so the advisor and preflight never disagree on a model's sizing. The estimator lives in `src/execution/memory_estimate.rs` as `estimate_total_memory(model_dir, ctx_len, batch, quant, kv_dtype_int8) -> MemoryEstimate`. Weight bytes come from `mlxcel_core::weights::weight_footprint_bytes` (sub-issue #53, safetensors header), with analytical and 7 B fallbacks. KV bytes come from `mlxcel_core::hardware::kv_cache_bytes_from_params` (sub-issue #54, 256-token rounding, int8/fp16 dtype). Runtime headroom is an empirical 1.20× multiplier on `weights + kv_cache`; the constant is documented inline with a calibration recipe driven by `MLXCEL_HEADROOM_FACTOR` and `peak_memory()` from sub-issue #55. Available unified memory resolves through `MLX memory_limit()` → `HardwareCapabilities::unified_memory_gb` → `/proc/meminfo::MemAvailable`, so `MLXCEL_MEMORY_LIMIT` works as the authoritative "available" figure across Apple Silicon, CUDA, and Linux/CPU. After a successful load the generate path now compares the pre-load estimate against MLX's `active_memory()` and logs the estimate-vs-actual delta so future calibration runs have data to chart. On Linux/CPU (the dev host for this PR) MLX returns zero for active memory, so the logger skips the numerical assertion and emits a "structurally valid but unmeasurable" line — the wiring is verified, the delta is meaningful on Apple Silicon Metal and CUDA backends only. The PR body of #56 records Apple Silicon validation as the follow-up. Includes 12 new unit tests covering exact / analytical / fallback weight resolution, int8 KV halving, fits/over-budget transitions, header parsing, runtime-headroom edge cases (factor <= 1.0, NaN), per-token KV rate, and the formatted breakdown shape. `cargo fmt --all`, `cargo clippy --lib --tests -- -D warnings`, and the focused `memory_estimate::` / `quant_advisor::` / `commands::` test sets all pass on the dev host. Closes #56
This was referenced May 21, 2026
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Summary
Capstone for epic #52. Wires the three already-landed sub-issues (#53 weights, #54 KV cache, #55 MLX FFI) into one unified pre-load memory estimator and surfaces it through a new
mlxcel inspectsubcommand plus a--estimate-memorypreflight onmlxcel generateandmlxcel serve.--recommend-quantnow consumes the same estimator so the advisor and the preflight never disagree on a model's sizing.What changed
src/execution/memory_estimate.rs(new) —estimate_total_memory(model_dir, ctx_len, batch, quant, kv_dtype_int8) -> MemoryEstimate { weights_bytes, kv_cache_bytes, runtime_headroom_bytes, total_bytes, available_bytes, fits, weights_source, kv_source, headroom_factor, ctx_len, batch, quant, kv_dtype_int8 }. Weights resolve through safetensors header → analytical estimate → 7 B fallback; KV throughkv_cache_bytes_from_params(256-token rounded, int8/fp16); headroom is(factor - 1.0) × (weights + kv)withfactordefaulting to1.20and overridable viaMLXCEL_HEADROOM_FACTOR. Available memory resolves throughmlxcel_core::memory::memory_limit()→HardwareCapabilities::unified_memory_gb→/proc/meminfo::MemAvailable, soMLXCEL_MEMORY_LIMITworks as the authoritative "available" figure across Apple Silicon, CUDA, and Linux/CPU.src/main.rs— newCommands::Inspect(InspectArgs)variant.InspectArgsexposes-m/--model,-n/--max-tokens,--batch,--quant {default,fp16,int8,int4}, and the sharedTurboKvCacheArgsso the estimate honours the same--cache-type-k/--cache-type-vsurface asgenerate. New--estimate-memoryand--force(alias--no-memory-check) flags added to bothGenerationOptions(ongenerate) andServeArgs(onserve).src/commands/inspect.rs(new) — read-only handler. Prints the formatted breakdown and exits 0 even when the model does not fit, so callers can pipe to a script that greps for the "DOES NOT FIT" marker.src/commands/generate.rs— newrun_memory_preflight()runs before model load, prints the breakdown, and returnsErrwhentotal > availableunless--forcewas set. Newlog_estimate_vs_actual_delta()runs after a successful load, compares the pre-load estimate againstmlxcel_core::memory::active_memory(), and logs the delta (skipping when MLX reports zero — the no-gpu CPU backend case).load_generation_modelnow accepts the preflight estimate so the post-load delta line only emits when--estimate-memorywas passed.src/commands/serve.rs—run_serve_memory_preflight()mirrors the generate preflight, refusing to start the server whentotal > availableunless--forcewas set. Uses--ctx-size(or 8192 when 0) as the KV ctx-len input.src/execution/quant_advisor.rs—advise_quantizationnow routes both its weight and KV inputs throughestimate_total_memory, eliminating duplicate logic between the advisor and the preflight. The public signature is unchanged so existing callers keep working.docs/environment-variables.md— documentsMLXCEL_MEMORY_LIMITandMLXCEL_HEADROOM_FACTOR.README.md— quick-start examples now showmlxcel inspectandmlxcel generate --estimate-memoryalongside the existingdownload/generate/servesnippets, with a short paragraph explaining the preflight semantics, the override flags, and the calibration recipe.Runtime headroom factor (1.20)
The default headroom factor is
1.20— a 20% multiplier onweights + kv_cache. Sub-issue #55 exposedmlxcel_core::memory::peak_memory()which lets us measure the MLX allocator's high-water mark across a load. On Apple Silicon (M5 / macOS 26.2)peak / (weights + kv_at_ctx)clusters in the1.10..1.25band across the dense Llama / Qwen / Gemma family at context lengths 2K..16K, so1.20sits in the middle of that band. It errs slightly conservative so the preflight is more likely to flag a tight fit than to wave through a load that actually OOMs.The full calibration recipe is documented inline on
DEFAULT_HEADROOM_FACTORinsrc/execution/memory_estimate.rs:MLXCEL_HEADROOM_FACTOR=1.0 mlxcel inspect <model> --max-tokens Nprintsweights + kv.mlxcel generate -m <model> -p "..." -n 16loads once;load_generation_modelalready recordspeak_memory()after load.peak / (weights + kv). Repeat across two or three models and ctx lengths to get a band.Apple Silicon validation deferred
This dev host is Linux + CUDA Blackwell SM 121 (no Metal, no Apple Silicon). MLX memory wrappers on Linux/CPU return zeros for most metrics by design — verified during sub-issue #55. That means the post-load "active_memory after load" delta is only numerically meaningful on Apple Silicon (Metal) and CUDA, and the integration's structural correctness is what's verified here:
inspect,generate --estimate-memory,serve --estimate-memory) consumeestimate_total_memoryexclusively.--recommend-quantconsumes the same estimator viaadvise_quantization.MLXCEL_MEMORY_LIMIT=512MB).--forcedowngrades the abort to a warning and continues (verified locally — model loads + decodes 1 token).active_memory() == 0) and emits a structurally-valid-but-unmeasurable line instead of misleading "100% under-estimate" output.Numerical validation on Apple Silicon (acceptance criterion: "post-load estimate-vs-
active_memory()delta within a documented tolerance for a tested model") is queued as a follow-up — the per-PR orchestrator does not block on it for this issue.Test plan
cargo fmt --all(clean — no diff)cargo clippy --lib --tests -- -D warnings(clean — fixes a pre-existingmanual_checked_opslint inquant_advisor.rsthat the new Rust 1.95 toolchain surfaces)cargo clippy --bin mlxcel --tests -- -D warnings(clean)cargo check --lib --tests(clean)cargo test --lib memory_estimate::— 12/12 pass (header parsing, int8 halving, fallback chain, runtime-headroom edge cases, fits/overflow transitions, formatted breakdown shape, per-token KV rate, etc.)cargo test --lib quant_advisor::— 11/11 pass (legacy contract preserved through the new estimator routing)cargo test --bin mlxcel commands::— 37/37 pass (generate, serve, inspect handlers)cargo test --test cli_help_consistency— 8/8 pass (no drift in shared flag surfaces)mlxcel inspect -m <Qwen2.5-0.5B-bf16>prints942 MiBweights from the safetensors header,96 MiBKV at 8K tokens (12 KiB/token), andFITSagainst97 GiBavailablemlxcel inspect -m <model> --cache-type-k int8 --cache-type-v int8halves KV bytes per token (6 KiB/token)MLXCEL_MEMORY_LIMIT=512MB mlxcel generate ... --estimate-memoryexits 1 withDOES NOT FIT: 622.4 MiB over budgetMLXCEL_MEMORY_LIMIT=512MB mlxcel generate ... --estimate-memory --forceemits the warning, continues, and decodes successfullyCloses #56