Models

The gigabytes are not measured GGUF files. They follow the formula on the methodology page: parameters × bytes, plus KV cache for 8,192 tokens of context.

ModelParametersMax contextQ4estimateQ5estimateQ8estimateFP16estimateArchitecture source

Llama 3.2 3B

Small enough for a Mac mini or a modest GPU. A good stack to test your setup.

3.21Bestimate131,0723.54.05.28.2confighuggingface.co/unsloth/Llama-3.2-3B-Instruct/raw/main/config.json

Llama 3.1 8B

The default local model. Q4 fits in 8–12 GB, Q8 wants closer to 12–16 GB.

8.03Bestimate131,0726.47.410.517.9confighuggingface.co/unsloth/Meta-Llama-3.1-8B-Instruct/raw/main/config.json

Mistral 7B v0.3

Architecture is an estimate of the familiar 7B shape. No config was fetched for this dataset.

7.25Bestimate32,7685.96.99.616.4estimate

no URL

Gemma 2 9B

Gemma 2 alternates local and global attention. The KV cache is an approximation, not a measured file.

9.24Bestimate8,1928.19.312.821.4estimate

no URL

Qwen2.5 14B

A strong mid-size model. Q4 needs about 10 GB plus context. Sliding window is off in the config.

14.7Bestimate131,07210.612.618.131.8confighuggingface.co/Qwen/Qwen2.5-14B/raw/main/config.json

Phi-4 14B

Architecture figures are an estimate. No config was fetched, so the VRAM line can be slightly off.

14.7Bestimate16,38410.712.618.231.9estimate

no URL

Gemma 2 27B

Same caveat as Gemma 2 9B: sliding window makes the KV estimate rougher.

27.2Bestimate8,19218.321.932.257.5estimate

no URL

Qwen2.5 32B

Q4 wants a bit over 20 GB. A 16 GB card drops out; a 24 GB card is tight.

32.8Bestimate131,07221.325.638.068.5confighuggingface.co/Qwen/Qwen2.5-32B/raw/main/config.json

Llama 3.3 70B

Q4 is about 40 GB of weights. A single 24 GB or 32 GB card is not enough.

70.6Bestimate131,07243.052.279.0144.7confighuggingface.co/unsloth/Llama-3.3-70B-Instruct/raw/main/config.json

Qwen2.5 72B

Same class as Llama 70B. Same conclusion: you need a large memory pool.

72.7Bestimate131,07244.253.681.3148.9confighuggingface.co/Qwen/Qwen2.5-72B/raw/main/config.json

DeepSeek-R1-Distill 70B

A distill on a Llama 70B shape. Architecture is copied from Llama 3.3 70B and marked as an estimate: no separate config was fetched.

70.6Bestimate131,07243.052.279.0144.7estimate

no URL