LFM2.5-2.6B runs at 220 tok/s on a 64 GB M5 Max, a published figure reported by liquid.ai (MLX, Q4_K_M). It needs about 2 GB of unified memory. It is Liquid AI's 2.6B dense model, released under the LFM Open licence.
Want to run LFM2.5-2.6B faster — or step up to bigger models? Find your Mac →This is a published figure: a real run, reported by its source and linked below. The index records it as given and never adjusts it.
| Metric | Value |
|---|---|
| Tokens per second | sourced220 tok/s |
| Provenance | published figure · liquid.ai |
| Quantization | Q4_K_M |
| Engine | MLX |
| Time to first token | 0.1s |
| Figure dated | 2026-08 |
| Minimum RAM | 2 GB |
| Parameters | 2.6B |
| Chip bandwidth | 614 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 (2 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 |
|---|---|---|---|---|---|---|
| sourced220 tok/s | Q4_K_M | MLX | 64 GB | — | liquid.ai | — |
Ollama — the index has not verified an Ollama tag for LFM2.5-2.6B, 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 →
The 220 tok/s figure above came from MLX at Q4_K_M; other runtimes and quants run at different speeds.
Prefer a GUI? LM Studio downloads GGUF and MLX builds in one click. Step by step: install Ollama on a Mac.
| Chip | Speed | Quant | Engine | Bandwidth |
|---|---|---|---|---|
| M6 | estimated79 tok/s | Q4_K_M | MLX | 170 GB/s |
Liquid AI's 2.6B model, ~220 tok/s on M5 Max. LFM Open license, LLMCheck capability 14/50.
LFM Open licence · 2.6B · 131K context · LLMCheck capability 14/50 · see its leaderboard rank →
LFM2.5-2.6B needs about 2 GB of unified memory. These current Apple Silicon Macs have the headroom to run it comfortably:
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See how LFM2.5-2.6B stacks up against other models on your specific Mac hardware.
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