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Model × Backend Coverage Matrix

Generated from the source tree by fak coverage-matrix.
Last updated: 2026-06-27 (commit SHA: dynamically sourced)

This matrix tracks the support status of every model family on every backend. A cell is honestly supported when it either (a) panics on disallowed inputs (a fence is present) or (b) has a proven conformance path. The growth_debt metric counts cells that are silently undefined — reachable by the dispatch but without a fence or proven behavior.

Summary

Status Count
SUPPORTED 0
PANICS 21
UNDEFINED 59

Matrix

Model CPU CUDA Metal Vulkan
llama
smolLM2
qwen
qwen2.5
qwen3
gptneox
falcon
mpt
stablelm
olmo2
cohere
gemma
mixtral
gptoss
deepseek
mistral
glm
minimax_m3
phi3
ornith

Legend

Key Fences

PreNorm Block Topology Fence (internal/model/kv.go:153)

Affects: gptneox, falcon, olmo2, cohere, gemma (PostNorm topologies)

These models use non-PreNorm block topologies (PostNorm, NoNorm, etc.). The HAL decode path, Metal prefill, and quant-batch all hardcode Llama’s PreNorm wiring as a seam optimization (SEAM-0). This fence turns a silent wrong-result path into a loud panic.

Message: "model: <path> does not yet implement BlockTopology <topology> (only PreNorm); see MODEL-ARCH-SEAM SEAM-0"

GLM-MoE-DSA Metal Fence (internal/model/kv.go:195)

Affects: glm on metal

The GLM-MoE-DSA sparse attention implementation does not yet support Metal/PrecisionPolicy paths. Only the CPU f32 resident path is wired today (compute.Backend GEMM offload is allowed).

Message: "model: GLM-MoE-DSA Session: Metal/PrecisionPolicy paths are unwired (CPU resident DSA cache; compute.Backend GEMM offload is allowed)"

Oracle Presence

Model Oracle Status
llama ABSENT
smolLM2 ABSENT
qwen ABSENT
qwen2.5 ABSENT
qwen3 ABSENT
gptneox ABSENT
falcon ABSENT
mpt ABSENT
stablelm ABSENT
olmo2 ABSENT
cohere ABSENT
gemma ABSENT
mixtral ABSENT
gptoss ABSENT
deepseek ABSENT
mistral ABSENT
glm ABSENT
minimax_m3 ABSENT
phi3 ABSENT
ornith ABSENT

Note: Oracle presence scanning is currently stubbed. The actual implementation would parse TestOptional*Oracle test functions in internal/model/oracle_test.go and related files to determine which models have weight-backed HF parity tests.

Regenerating

# View human-readable matrix
fak coverage-matrix

# View JSON payload
fak coverage-matrix --json

# Write snapshot to file
fak coverage-matrix --json --out tools/coverage_matrix.snapshot.json

Integration

The growth_debt metric (59 cells) is wired into the unified scorecard control pane:

# View full control pane
python tools/scorecard_control_pane.py

# Re-pin baseline after debt improvements
python tools/scorecard_control_pane.py --pin

The metric appears in tools/scorecard_baseline.json under the growth key and is folded into the portfolio total debt. A regression in growth_debt (newly undefined cells) will trigger the early-warning lens even if the overall portfolio remains green.