moonshotai · Released Jul 27, 2026 · observed 23 Oct 2026
Public-source support evidence
Exact checkpoint execution is unverified. Community MLX weights are available; the architecture is listed in llama.cpp and vLLM.
moonshotai/Kimi-K3
Kimi-K3 is an image text to text model published by moonshotai on Hugging Face. We have not written a summary yet; see the model card ↗.
View source model ↗SUPPORT EVIDENCE
The model config architecture is listed in this runtime registry. This is family/architecture evidence only; exact checkpoint loading, model-specific configuration, hardware, and generation were not tested.
Checked 2026-10-23 16:03 UTC
Evidence source ↗The exact model and runtime-specific sources were checked; no positive model-level evidence was established.
Checked 2026-10-23 19:28 UTC
Version v0.40.10
Checked source ↗The exact model and runtime-specific sources were checked; no positive model-level evidence was established.
Checked 2026-10-23 19:26 UTC
Checked source ↗A current public MLX upload with an exact base_model match was observed. Upload availability only; this model was not loaded or hardware-tested.
Checked 2026-10-23 19:41 UTC
Evidence source ↗The model config architecture is listed in this runtime registry. This is family/architecture evidence only; exact checkpoint loading, model-specific configuration, hardware, and generation were not tested.
Checked 2026-10-23 16:03 UTC
Evidence source ↗MLX community uploads may target mlx-vlm; an upload observation does not establish mlx-lm compatibility.
MEMORY ESTIMATES
The summary estimate of about 562 GB is the smallest observed UD-Q1_0 quant (466.4 GB observed), from file size × 1.2 + 1.5 GB. This is headroom math only and does not mean the model runs. Each card is the largest observed quant whose estimate fits that capacity.
Which file should I grab?
doesn't fitNo observed complete quant fits this capacity using file size × 1.2 + 1.5 GB.
Which file should I grab?
doesn't fitNo observed complete quant fits this capacity using file size × 1.2 + 1.5 GB.
Which file should I grab?
doesn't fitNo observed complete quant fits this capacity using file size × 1.2 + 1.5 GB.
Which file should I grab?
doesn't fitNo observed complete quant fits this capacity using file size × 1.2 + 1.5 GB.
Which file should I grab?
doesn't fitNo observed complete quant fits this capacity using file size × 1.2 + 1.5 GB.
Which file should I grab?
doesn't fitNo observed complete quant fits this capacity using file size × 1.2 + 1.5 GB.
Which file should I grab?
doesn't fitNo observed complete quant fits this capacity using file size × 1.2 + 1.5 GB.
Which file should I grab?
doesn't fitNo observed complete quant fits this capacity using file size × 1.2 + 1.5 GB.
Memory estimates are the observed file size plus fixed headroom (20% plus 1.5 GB runtime allowance); real needs also depend on context length, KV cache and runtime settings. Fit is an estimate; it does not establish runtime compatibility, speed, context length, or hardware performance. Text-weights-only estimates do not include a projector or total vision memory where unknown.
Terms: a quant is a lower-precision version of the weights; GGUF is a file format used by llama.cpp and compatible apps; MLX targets Apple silicon; vLLM is a model-serving engine for NVIDIA GPUs; the KV cache is stored attention state that grows with context length. Terms explained ↗
OBSERVED FILES
Sizes and file groups come from the listed uploader repositories. A size is marked as an estimated fit only for a complete observed GGUF quant group.
CURATED TRACKING
No curated issues verified for this snapshot. An empty list does not mean there are no bugs.
HARDWARE NOTES
No execution or benchmark results are published for this model yet.
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