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Add dedicated Kimi Linear GGUF support - #619

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justinchuby-kimi-linear-gguf
Aug 25, 2026
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Add dedicated Kimi Linear GGUF support#619
justinchuby merged 2 commits into
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justinchuby-kimi-linear-gguf

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Summary

  • implement the pinned Kimi Linear hybrid KDA/NoPE-MLA graph, dense/MoE schedule, and heterogeneous recurrent/KV state ABI
  • add strict GGUF metadata/tensor closure, layout transforms, compatible quantized MatMul/expert preservation, and malformed-input rejection
  • add graph, weight, ORT state/replay/reorder/padding, GGUF float/quantized, roundtrip, CLI, and documentation coverage

Runtime boundary

Generic OGA packaging remains deferred to #605 because the released decoder schema cannot represent mixed MLA KV and KDA convolution/matrix states exactly.

Validation

  • focused Kimi: 34 passed
  • full GGUF: 2684 passed
  • broad non-integration: 7223 passed, 54 skipped
  • generated GGUF docs check passed
  • initialized lint completed with only pre-existing Falcon-H1 warnings
  • two independent reviews completed and findings fixed

Stacked on #616 (justinchuby-minimax-01-gguf).

Comment thread src/mobius/components/_kimi_linear.py Fixed
Comment thread src/mobius/models/kimi_linear.py Fixed
Comment thread src/mobius/models/kimi_linear_test.py Fixed
Comment thread src/mobius/tasks/_kimi_linear.py Fixed
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Performance Comparison

Comparing b30c5229bf181f

Model Metric Baseline Current Delta
bert (feature-extraction) model_size_bytes 359 KB 359 KB +0.0%
bert (feature-extraction) num_nodes 68 68 +0.0%
falcon model_size_bytes 364 KB 364 KB +0.0%
falcon num_nodes 66 66 +0.0%
gemma2 model_size_bytes 428 KB 428 KB +0.0%
gemma2 num_nodes 105 105 +0.0%
gpt2 model_size_bytes 388 KB 388 KB +0.0%
gpt2 num_nodes 54 54 +0.0%
llama model_size_bytes 425 KB 425 KB +0.0%
llama num_nodes 60 60 +0.0%
llama (static-cache) model_size_bytes 425 KB 425 KB +0.0%
llama (static-cache) num_nodes 56 56 +0.0%
mamba (ssm-text-generation) model_size_bytes 296 KB 296 KB +0.0%
mamba (ssm-text-generation) num_nodes 94 94 +0.0%
phi3 model_size_bytes 421 KB 421 KB +0.0%
phi3 num_nodes 58 58 +0.0%
phi3 (static-cache) model_size_bytes 421 KB 421 KB +0.0%
phi3 (static-cache) num_nodes 54 54 +0.0%
qwen2 model_size_bytes 425 KB 425 KB +0.0%
qwen2 num_nodes 60 60 +0.0%
qwen2 (static-cache) model_size_bytes 425 KB 425 KB +0.0%
qwen2 (static-cache) num_nodes 56 56 +0.0%
qwen3_5_moe (hybrid-text-generation) model_size_bytes 506 KB 506 KB +0.0%
qwen3_5_moe (hybrid-text-generation) num_nodes 265 265 +0.0%
qwen3_5_text (hybrid-text-generation) model_size_bytes 458 KB 458 KB +0.0%
qwen3_5_text (hybrid-text-generation) num_nodes 127 127 +0.0%
qwen3_5_vl (hybrid-qwen-vl) model_size_bytes 977 KB 977 KB +0.0%
qwen3_5_vl (hybrid-qwen-vl) num_nodes 429 429 +0.0%
t5 (seq2seq) model_size_bytes 836 KB 836 KB +0.0%
t5 (seq2seq) num_nodes 176 176 +0.0%
whisper (speech-to-text) model_size_bytes 1008 KB 1008 KB +0.0%
whisper (speech-to-text) num_nodes 128 128 +0.0%

No performance regressions.

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🏗️ Architecture Diff

Comparing b30c5229bf181f

Model Sub-model Changes Status
bert (feature-extraction) model 0
falcon model 0
gemma2 model 0
gemma4 (gemma4) decoder 0
gemma4 (gemma4) embedding 0
gemma4 (gemma4) vision_encoder 0
gemma4_text model 0
gpt2 model 0
llama model 0
llama (static-cache) model 0
mamba (ssm-text-generation) model 0
phi3 model 0
phi3 (static-cache) model 0
qwen model 0
qwen (static-cache) model 0
qwen2 model 0
qwen2 (static-cache) model 0
qwen2_moe model 0
qwen2_moe (static-cache) model 0
qwen3 model 0
qwen3 (static-cache) model 0
qwen3_5_moe (hybrid-text-generation) model 0
qwen3_5_text (hybrid-text-generation) model 0
qwen3_5_vl (hybrid-qwen-vl) decoder 0
qwen3_5_vl (hybrid-qwen-vl) embedding 0
qwen3_5_vl (hybrid-qwen-vl) vision_encoder 0
qwen3_moe model 0
qwen3_moe (static-cache) model 0
qwen3_next (hybrid-text-generation) model 0
t5 (seq2seq) decoder 0
t5 (seq2seq) encoder 0
whisper (speech-to-text) decoder 0
whisper (speech-to-text) encoder 0

No architecture changes detected.


Legend: ⚪ No change · 🔵 Minor (attrs/inits) · 🟡 Moderate (nodes added/removed) · 🔴 Major (interface changed)

@justinchuby
justinchuby force-pushed the justinchuby-minimax-01-gguf branch from 3f5fdf1 to d4957ef Compare August 25, 2026 18:50
Base automatically changed from justinchuby-minimax-01-gguf to main August 25, 2026 18:51
@justinchuby
justinchuby requested a review from a team August 25, 2026 18:51
justinchuby and others added 2 commits August 25, 2026 11:53
Implement the pinned Kimi Linear hybrid KDA/MLA and dense/MoE graph with an explicit heterogeneous cache ABI. Add strict GGUF metadata and tensor closure validation, compatible quantization handling, execution coverage, and support documentation while deferring generic OGA packaging until its state schema can represent the model exactly.

Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com>
Signed-off-by: Justin Chu <justinchuby@users.noreply.github.com>
Preserve valid KDA convolution state across padded prefills, route native K/V-B tensors through explicit reshape-aware requantization, and register the public Kimi config and coverage policy.

Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com>
Signed-off-by: Justin Chu <justinchuby@users.noreply.github.com>
Copilot AI lite review requested due to automatic review settings August 25, 2026 19:04
@justinchuby
justinchuby force-pushed the justinchuby-kimi-linear-gguf branch from eb61cca to 9bf181f Compare August 25, 2026 19:04
@justinchuby
justinchuby merged commit 04c6641 into main Aug 25, 2026
14 of 23 checks passed
@justinchuby
justinchuby deleted the justinchuby-kimi-linear-gguf branch August 25, 2026 19:05

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Pull request overview

This PR adds first-class support for the Kimi Linear architecture across Mobius’ model/config/task stack and the GGUF import pipeline, enabling pinned-format GGUF → ONNX builds with strict tensor/metadata closure validation while keeping ORT GenAI runtime packaging explicitly deferred due to heterogeneous state ABI limitations (#605).

Changes:

  • Add Kimi Linear config extraction, model graph (KDA + NoPE-MLA + dense/MoE schedule), and a dedicated heterogeneous-state task/ABI.
  • Extend GGUF integration with Kimi Linear architecture registration, exact tensor-name mapping, tensor post-processing, strict contract validation, and quantized import handling (including reshape + requantize paths).
  • Add broad test coverage for graph building, config extraction, tensor processing/mapping, GGUF import/runtime state behavior, CLI build, and docs/support census updates.

Reviewed changes

Copilot reviewed 24 out of 24 changed files in this pull request and generated 3 comments.

Show a summary per file
File Description
tests/model_coverage_test.py Adds Kimi Linear entry to model coverage registry text.
tests/build_graph_test.py Asserts Kimi Linear per-layer present-state outputs for graph builds.
tests/_test_configs.py Adds tiny Kimi Linear test config for graph construction tests.
src/mobius/tasks/_kimi_linear.py Introduces a dedicated Kimi Linear task with heterogeneous state inputs/outputs and function registration.
src/mobius/tasks/init.py Exports/registers the new Kimi Linear task and task name.
src/mobius/models/kimi_linear.py Adds Kimi Linear model implementation (decoder stack + MoE + weight preprocessing).
src/mobius/models/kimi_linear_test.py Adds unit tests for Kimi Linear weight preprocessing and routing behavior.
src/mobius/models/init.py Exports the new Kimi Linear model.
src/mobius/integrations/gguf/_tensor_processors.py Adds Kimi Linear tensor post-processing for GGUF → HF tensor layout restoration.
src/mobius/integrations/gguf/_tensor_processors_test.py Tests Kimi Linear tensor post-processing and malformed-input rejection.
src/mobius/integrations/gguf/_tensor_mapping.py Adds Kimi Linear recurrent suffix closure and GGUF→HF tensor-name mapping.
src/mobius/integrations/gguf/_tensor_mapping_test.py Tests Kimi Linear tensor mapping correctness and rejection of wrong suffixes.
src/mobius/integrations/gguf/_config_mapping.py Adds GGUF→config extraction and postprocessing for Kimi Linear plus hybrid-layout derivation support.
src/mobius/integrations/gguf/_builder.py Adds strict Kimi Linear GGUF contract validation and quantized reshape/import handling.
src/mobius/integrations/gguf/_builder_test.py Adds end-to-end Kimi Linear GGUF build/runtime/state/roundtrip/CLI and contract-failure tests.
src/mobius/integrations/gguf/_arch_registry.py Marks kimi-linear as importable with concrete config/tensor/graph support (runtime deferred).
src/mobius/integrations/gguf/_arch_registry_test.py Updates architecture support census expectations and adds Kimi Linear spec assertions.
src/mobius/components/_kimi_linear.py Adds Kimi Linear KDA recurrence + MLA attention components used by the model graph.
src/mobius/components/init.py Exports the new Kimi Linear components.
src/mobius/_registry.py Registers kimi_linear model_type and adds a default HF model id entry.
src/mobius/_configs/_base.py Adds KimiLinearConfig config extraction/validation from Transformers configs.
src/mobius/_configs/_base_test.py Adds unit tests for Kimi Linear config extraction and profile rejection.
src/mobius/_configs/init.py Exports KimiLinearConfig.
docs/api/build_from_gguf.md Updates GGUF support census and documents Kimi Linear’s supported/deferred status.

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Comment on lines +135 to +139
model.metadata_props["mobius.runtime_support"] = (
"Deferred: released generic OGA decoder cache schemas do not represent "
"Kimi Linear's heterogeneous state ABI; tracked by "
"https://github.com/onnxruntime/mobius#605"
)
Comment on lines +1550 to +1565
num_heads = int(vars(linear).get("num_heads", base.num_attention_heads))
head_dim = int(linear.head_dim)
if num_heads != base.num_attention_heads:
raise ValueError("Kimi Linear KDA and MLA head counts must match")
fields = _shallow_fields(base)
fields.update(
model_type="kimi_linear",
layer_types=[
"kimi_linear_attention" if i + 1 in set(kda_layers) else "full_attention"
for i in range(base.num_hidden_layers)
],
linear_num_key_heads=num_heads,
linear_num_value_heads=num_heads,
linear_key_head_dim=head_dim,
linear_value_head_dim=head_dim,
linear_conv_kernel_dim=int(linear.short_conv_kernel_size),
Comment on lines +800 to +824
if (
min(
layers,
hidden,
dense_intermediate,
heads,
qk_dim,
value_dim,
kv_rank,
extra_dim,
kda_dim,
conv,
experts,
top_k,
expert_intermediate,
)
<= 0
or qk_dim <= extra_dim
or top_k > experts
or shared != 1
or dense_layers != 1
or not math.isfinite(routed_scale)
or routed_scale <= 0
or not math.isfinite(epsilon)
or epsilon <= 0
justinchuby added a commit that referenced this pull request Aug 25, 2026
## Summary

- add a dedicated Kimi-K3 config, model, and heterogeneous-state task
with exact KDA/NoPE gated-MLA scheduling, AttnRes mixing, SiTU latent
MoE, shared experts, and an untied output head
- import pinned llama.cpp `kimi-k3` GGUF metadata and tensors with
strict metadata/tensor/shape/storage closure and malformed-input
rejection
- preserve lossless quantization routes under #609: separate rank-3 MLA
projections fail closed unless explicitly dequantized, while fused Q4_0
KV-B is split by exact packed-row reordering across weights, scales, and
zero-points
- preserve valid KDA convolution history across padding, validate
kernel/state/task contracts, and cover replay, reorder, float/quantized
import, roundtrip, CLI, and negative paths
- keep generic OGA runtime packaging truthfully deferred under #605
because released cache schemas cannot represent the heterogeneous state
ABI

## Reconstruction

Reconstructed after #619 was admin squash-merged. The PR contains only
the four-commit Kimi-K3 delta and review follow-ups on live-main base
`04b7e3f6f2d9de5d5741aafb8fa6375a18eee693`. This preserves #611
graph-driven ORT GenAI decoder configs, #618 ORT GenAI end-to-end CI,
#624 generic decoder config migration, and the Kimi Linear, MiniMax,
runtime, and fail-closed quantization changes already on main. `git
range-diff` reports all four replayed commits as patch-identical (`=`).

## Validation

- Kimi-K3 model and GGUF tests: 30 passed
- focused builder/build-graph Kimi-K3 checks: 4 passed, 1900 deselected
- affected generic ORT config/runtime/E2E tests: 250 passed
- affected OGA metadata tests: 94 passed, 1 skipped
- broad non-integration suite: 7765 passed, 56 skipped, 1 subtest passed
- repository lintrunner passed
- final GPT-5.6 Sol medium review reported no findings

## Real-checkpoint note

The pinned
`yujiepan/kimi-k3-tiny-random@a5c86ee03f07f7b141508b0108304a1447fbb345`
checkpoint was assessed, but macOS cannot run its required `fla-core`
kernels and its selective compressed-tensors MXFP4 expert representation
is unsupported by the generic HF loader. That format fails explicitly
rather than producing an incorrectly quantized graph.

---------

Signed-off-by: Justin Chu <justinchuby@users.noreply.github.com>
Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com>
justinchuby added a commit that referenced this pull request Aug 25, 2026
## Summary

- clean up still-valid typing, documentation, test robustness,
error-message,
  maintainability, and performance findings left by the GGUF PR stack
- preserve the behavioral fixes merged in #625-#632
- hash reused multi-GB GGUF sources once, at the final pre-publication
integrity
  gate, while retaining cheap identity checks around staging

Exact base: `2db9d33debdc254d879a51b14434c9a81c230f4f`

Exact head: `4541ed2bc9d2ab4227484510b4a85b2d9113eb25`

## Reconstructed original 17-item low-priority tranche

The persisted audit retained only the totals, so this list was
reconstructed
from the live threads and current source. All but the already-fixed #596
comment are addressed in this PR.

| PR | Comment | Disposition |
|---|---:|---|
| #550 | 3837144656 | Implemented: correct tuple return annotation |
| #552 | 3837389183 | Implemented: multichannel waveform shape docs |
| #559 | 3837716261 | Implemented: name-based cache assertions |
| #573 | 3854308350 | Implemented: one final GGUF hash, with integrity
regression coverage |
| #574 | 3854345521 | Implemented: `TensorRole \| None` typing |
| #574 | 3854345597 | Implemented: removed obsolete verdict filtering |
| #577 | 3854472859 | Implemented: documented SSM sequence length |
| #578 | 3843112613 | Implemented: documented F64 passthrough |
| #579 | 3854518332 | Implemented: generalized fused-projection error |
| #580 | 3854576300 | Implemented: removed brittle node counts |
| #583 | 3854681386 | Implemented: documented conditional draft outputs
|
| #587 | 3854816872 | Implemented: corrected MTP output contract docs |
| #596 | 3846110059 | Already fixed on base: unambiguous GQA bias
comment |
| #600 | 3855174281 | Implemented: metadata-count-only MTP error |
| #607 | 3855776048 | Implemented: stable route-field assertions |
| #607 | 3855776086 | Implemented: public tensor iterator |
| #609 | 3856486136 | Implemented: fail-closed LM-head comment |

## Current unresolved-thread disposition

This covers all 48 Copilot threads returned by the reproducible
#600-#630
query. The one human #623 thread is excluded.

| PR | Comment | Current-main disposition and evidence |
|---|---:|---|
| #600 | 3855174177 | Already fixed by #629: package cycle and
reserved-sidecar validation |
| #600 | 3855174238 | Already fixed by #629: explicit MTP sidecar
naming/loading |
| #600 | 3855174281 | Implemented here: error no longer invents an
observed block count |
| #602 | 3848155961 | Outside exact stack; already fixed: top-level
`expert_dtype` is classified before early return |
| #602 | 3848155983 | Outside exact stack; still-valid behavioral
block-quant validation, unchanged |
| #602 | 3848156000 | Outside exact stack; still-valid truncated-read
behavioral finding, unchanged |
| #602 | 3848156022 | Outside exact stack; still-valid descriptor
byte/dtype validation, unchanged |
| #602 | 3848156040 | Outside exact stack; still-valid expert-bank
payload validation, unchanged |
| #603 | 3855249765 | Already fixed by #630: runtime preflight preserves
shard sets |
| #603 | 3855249840 | Already fixed by #630: success output follows
durable runtime publication |
| #604 | 3855343082 | Implemented here: graph-only MTP persistence
distinguished from runtime rejection |
| #604 | 3855343131 | Already fixed by #630: runtime success messages
are atomic |
| #607 | 3855776001 | Implemented here: missing generation golden skips
before provenance read |
| #607 | 3855776048 | Implemented here: only stable route fields are
asserted |
| #607 | 3855776086 | Implemented here: tensor count uses
`tensor_items_raw()` |
| #608 | 3856079371 | Still-valid behavioral cache-symlink containment
finding; unchanged |
| #608 | 3856079415 | Still-valid behavioral lowercase-digest validation
finding; unchanged |
| #609 | 3856486136 | Implemented here: comment matches value-preserving
policy |
| #610 | 3855541683 | Already fixed by #628: Falcon bias precedence is
explicit |
| #610 | 3855541761 | Already fixed by #628: CTRL tiny config exercises
projection biases |
| #611 | 3856595840 | Implemented here: runtime test resolves the
distribution providing the module |
| #612 | 3855677383 | Already fixed by #625: supported-version
endianness detection |
| #612 | 3855677427 | Implemented here: shared `INT64_MAX` sentinel |
| #612 | 3855677460 | Implemented here: shared PLaMo2 width inference |
| #612 | 3855677486 | Implemented here: accepted PLaMo2 activation
spellings are explicit |
| #613 | 3855845678 | Implemented here: canonical issue URL |
| #613 | 3855845757 | Implemented here: Mamba-1 function-registration
docs |
| #613 | 3855845806 | Implemented here: test expects the canonical issue
URL |
| #614 | 3855988545 | Implemented here: removed stale Nemotron-H
divergence comments |
| #614 | 3855988597 | Already fixed by #628: zero-head geometry raises
actionable `ValueError` |
| #615 | 3856082290 | Already fixed by #626: dense GraniteHybrid bias
closure |
| #618 | 3856729330 | Implemented here: required routes filter ORT GenAI
evidence |
| #618 | 3856729409 | Implemented here: env-selected runtime version is
authoritative |
| #618 | 3856729490 | Stale/N/A: PR-description-only matrix claim;
repository workflow claims one pinned version |
| #618 | 3856729563 | Implemented here: schema tail restored to normal
indentation |
| #619 | 3856342484 | Already fixed on base: Kimi Linear uses
`/issues/605` |
| #619 | 3856342532 | Already fixed by #628: config rejects convolution
kernels below 2 |
| #619 | 3856342580 | Already fixed by #628: GGUF contract rejects
convolution kernels below 2 |
| #620 | 3855717041 | Already fixed by #627: tied LM-head-only
checkpoints are retained |
| #621 | 3856722324 | Already fixed by #628: Kimi-K3 required metadata
is complete |
| #623 | 3855931210 | N/A to current main: comment belongs to open,
unmerged #623 |
| #623 | 3855939302 | N/A to current main: comment belongs to open,
unmerged #623 |
| #623 | 3855939358 | N/A to current main: comment belongs to open,
unmerged #623 |
| #623 | 3855939394 | N/A to current main: comment belongs to open,
unmerged #623 |
| #624 | 3856777152 | Implemented here: runtime compatibility reuses the
emitted model type |
| #625 | 3857049733 | Implemented here: unsupported header reports both
endian candidates |
| #629 | 3857313182 | Newer post-audit behavioral sidecar-symlink
cleanup finding; unchanged |
| #629 | 3857313251 | Newer post-audit cross-platform path-safety
finding; unchanged |

## Validation

- affected GGUF/package/ORT GenAI/model/schema tests: 1,040 passed
- broad non-integration suite: 7,851 passed, 56 skipped, 1 subtest
passed
- generated GGUF docs checks: 7 passed
- initialized `lintrunner`; full lint/format passed
- GPT-5.6 Sol medium review: one integrity finding fixed; re-review
found no significant issues

Signed-off-by: Justin Chu <justinchuby@users.noreply.github.com>
Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com>
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3 participants