Estimated from nearby benchmark coverage, not a direct match Speed is estimated from nearby benchmark coverage rather than this exact machine-and-quant match. Best runtime hint: Ollama.
Coverage
No direct benchmark rows yet
Speed is estimated, so this cost read is provisional.
Quant ladder and fit detail
QuantQualityHeadroomContextSpeedRuntimeEvidence
Q5_K_M High quality2.8 GB11k16.6 tok/sOllamaEstimated
Estimated from nearby benchmark coverage, not a direct match Speed is estimated from nearby benchmark coverage rather than this exact machine-and-quant match. Best runtime hint: Ollama.
Coverage
No direct benchmark rows yet
Speed is estimated, so this cost read is provisional.
Estimated from nearby benchmark coverage, not a direct match Speed is estimated from nearby benchmark coverage rather than this exact machine-and-quant match. Best runtime hint: Ollama.
Coverage
No direct benchmark rows yet
Speed is estimated, so this cost read is provisional.
Quant ladder and fit detail
QuantQualityHeadroomContextSpeedRuntimeEvidence
Q5_K_M High quality2.8 GB11k16.6 tok/sOllamaEstimated
Estimated from nearby benchmark coverage, not a direct match Speed is estimated from nearby benchmark coverage rather than this exact machine-and-quant match. Best runtime hint: Ollama.
Coverage
No direct benchmark rows yet
Speed is estimated, so this cost read is provisional.
Quant ladder and fit detail
QuantQualityHeadroomContextSpeedRuntimeEvidence
Q5_K_M High quality2.8 GB11k16.6 tok/sOllamaEstimated
Estimated from nearby benchmark coverage, not a direct match Speed is estimated from nearby benchmark coverage rather than this exact machine-and-quant match. Best runtime hint: Ollama.
Coverage
No direct benchmark rows yet
Speed is estimated, so this cost read is provisional.
Quant ladder and fit detail
QuantQualityHeadroomContextSpeedRuntimeEvidence
Q5_K_M High quality2.8 GB11k16.6 tok/sOllamaEstimated
Estimated from nearby benchmark coverage, not a direct match Speed is estimated from nearby benchmark coverage rather than this exact machine-and-quant match. Best runtime hint: Ollama.
Coverage
No direct benchmark rows yet
Speed is estimated, so this cost read is provisional.
Estimated from nearby benchmark coverage, not a direct match Speed is estimated from nearby benchmark coverage rather than this exact machine-and-quant match. Best runtime hint: Ollama.
Coverage
No direct benchmark rows yet
Speed is estimated, so this cost read is provisional.
Estimated from nearby benchmark coverage, not a direct match Speed is estimated from nearby benchmark coverage rather than this exact machine-and-quant match. Best runtime hint: Ollama.
Coverage
No direct benchmark rows yet
Speed is estimated, so this cost read is provisional.
These answers stay tied to the live workspace defaults for this compatibility route, so the copy explains the same sort order and query framing the table is using.
What does Fit answer that the main rankings page does not?
Fit keeps the workspace focused on memory feasibility. It opens the quant ladder for each result so you can see whether a model barely fits, fits comfortably, or needs a lower quant target on a specific Mac.
Does fitting in memory guarantee good performance?
No. A model can fit and still feel slow. Use the speed, runtime, and evidence columns alongside the fit detail before you treat a Mac-model pairing as practical for daily use.
Why do different quant levels change the answer?
Quantization trades quality for memory footprint and speed. Lower-bit variants need less unified memory, so the Fit route shows how the same model can move from impossible to viable as the quant target changes.