The LLMCheck index estimates KAT-Coder-V2.5 at ~84 tok/s on an M3 Max at Q4_K_M, scaled from its community-measured 6-bit run on this chip with the published bandwidth model, not a measured Q4_K_M run. It needs about 24 GB of unified memory. It is Kwaipilot's 35B mixture-of-experts model (3B active), released under the Apache 2.0 licence.
Want to run KAT-Coder-V2.5 faster — or step up to bigger models? Find your Mac →This is an LLMCheck index estimate from its published two-term bandwidth model, not a measured run; the index labels it so everywhere it appears. Own this Mac? Submit a real run →
| Metric | Value |
|---|---|
| Tokens per second | estimated~84 tok/s |
| Provenance | estimate · how estimates are made |
| Quantization | Q4_K_M |
| Minimum RAM | 24 GB |
| Parameters | 35B MoE (3B active) |
| Chip bandwidth | 400 GB/s |
Each row as the index holds it, with its source. “Mac RAM” is the memory of the Mac a run used, not the model’s requirement (24 GB). The headline figure follows the reference rule: the lower-median measured plain-decode run at 5 bits or fewer (a run whose quant was not stated counts only when no stated-quant run qualifies), else the estimate; a run marked “not used to anchor estimates” is listed here but never becomes the headline.
| Speed | Quant | Engine | Mac RAM | Context | Source | Note |
|---|---|---|---|---|---|---|
| community69.5 tok/s | 6-bit | MLX | 48 GB | 1k | omlx.ai | 40-core GPU. oMLX v0.5.8.dev3, MTP/DFlash off; KAT-Coder-V2.5-Dev-6bit-XL-mlx. 67.7 tok/s at 4k. |
Ollama — the index has not verified an Ollama tag for KAT-Coder-V2.5, so it doesn’t print one (a guessed tag fails with “pull model manifest: file does not exist”). Search the Ollama library →
MLX — pick a build from Hugging Face’s MLX listings, then run it with its repo id:
Downloads: Search the Ollama library → · model card →
Prefer a GUI? LM Studio downloads GGUF and MLX builds in one click. Step by step: install Ollama on a Mac.
Kwaipilot's Apache 2.0 agentic coder; the open-weight 'Dev' release is a 35B MoE with 3B active, built on Qwen3.6-35B-A3B. About 20 GB at 4-bit, so it fits a 24 GB Mac; a community oMLX run measured 89.3 tok/s on an M5 Max (OptiQ 4-bit, MTP off), below the index's earlier 117 estimate.
Apache 2.0 licence · 35B MoE · 256K context · LLMCheck capability 39/50 · see its leaderboard rank →
KAT-Coder-V2.5 needs about 24 GB of unified memory. These current Apple Silicon Macs have the headroom to run it comfortably:
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