Which quant level should you download?

For each common card, every level each recommended model ships, sized at 4K context, and the one to fetch: the highest-quality level that still fits comfortably.

Rows are the models this site recommends for each card: the largest that fits comfortably, and the largest that leaves a third of the card free, for chat, code and image tasks. Every figure is the VRAM calculator's own at 4K context and batch 1, and each row opens there with the same settings.

Green fits comfortably (at most 88% of the card). Amber is tight: it may load, with little room for context. Red does not fit. "Won't load here" means this card's runtime cannot read that format at any size — AWQ on a Mac, for example.

Perplexity rise is the published figure for that level against the full-precision model; a dash means none was published, and none is invented.

RTX 5060 Ti 16G · RTX 4060 Ti 16G

16 GB

ModelDownloadPerplexity riseEvery level at 4K
Mistral Small 24B InstructAWQ INT4 · 13.2 GB+3.8%
  • AWQ INT4 13.2 GB · fits
  • EXL2 4.65bpw 15.3 GB · tight
  • Q4_K_M 15.9 GB · tight
Calculator
Devstral Small 1.1 24BAWQ INT4 · 13.0 GB+4.0%
  • AWQ INT4 13.0 GB · fits
  • EXL2 4.65bpw 15.0 GB · tight
  • Q4_K_M 15.6 GB · tight
  • Q5_K_M 18.2 GB · too big
  • Q6_K 20.9 GB · too big
Calculator
Magistral Small 1.2 24BAWQ INT4 · 13.0 GB+4.0%
  • AWQ INT4 13.0 GB · fits
  • EXL2 4.65bpw 15.0 GB · tight
  • Q4_K_M 15.6 GB · tight
  • Q5_K_M 18.2 GB · too big
  • Q6_K 20.9 GB · too big
Calculator
Falcon 3 10B InstructQ4_K_M · 7.3 GB+3.1%
  • GPTQ INT4 6.1 GB · fits
  • Q4_K_M 7.3 GB · fits
Calculator
Gemma 4 E4B ITQ8_0 · 8.7 GB—
  • Q4_K_M 5.3 GB · fits
  • Q8_0 8.7 GB · fits
Calculator

RTX 4060 Ti 8G

8 GB

ModelDownloadPerplexity riseEvery level at 4K
Falcon 3 10B InstructGPTQ INT4 · 6.1 GB+4.8%
  • GPTQ INT4 6.1 GB · fits
  • Q4_K_M 7.3 GB · tight
Calculator
Qwen3.5 9BQ4_K_M · 6.6 GB—
  • Q4_K_M 6.6 GB · fits
  • Q8_0 10.4 GB · too big
Calculator
Qwen3 4B InstructQ6_K · 4.0 GB+0.7%
  • AWQ INT4 2.7 GB · fits
  • EXL2 4.65bpw 3.0 GB · fits
  • Q4_K_M 3.1 GB · fits
  • Q6_K 4.0 GB · fits
Calculator
Qwen3.5 2BQ8_0 · 2.2 GB—
  • Q4_K_M 1.5 GB · fits
  • Q8_0 2.2 GB · fits
Calculator

RTX 5070

12 GB

ModelDownloadPerplexity riseEvery level at 4K
DeepSeek-V2-Lite ChatQ4_K_M · 10.1 GB+3.0%
  • AWQ INT4 8.3 GB · fits
  • Q4_K_M 10.1 GB · fits
Calculator
Gemma 3 12B ITQ5_K_M · 9.8 GB+1.3%
  • AWQ INT4 7.2 GB · fits
  • Q4_K_M 8.5 GB · fits
  • Q5_K_M 9.8 GB · fits
Calculator
Granite 3.1 8B InstructQ4_K_M · 5.9 GB+3.0%
  • GPTQ INT4 5.0 GB · fits
  • Q4_K_M 5.9 GB · fits
Calculator
Gemma 4 E2B ITQ8_0 · 5.2 GB—
  • Q4_K_M 3.0 GB · fits
  • Q8_0 5.2 GB · fits
Calculator

RTX 3090 · RTX 4090

24 GB

ModelDownloadPerplexity riseEvery level at 4K
Recursive Flint 40B-A2.5BQ3_K_M · 20.6 GB—
  • Q3_K_M 20.6 GB · fits
  • Q4_K_M 26.7 GB · too big
  • Q8_0 44.5 GB · too big
Calculator
MiniCPM-V 4.7 35B-A3BQ4_K_S · 20.9 GB—
  • Q4_K_S 20.9 GB · fits
  • Q4_K_M 22.2 GB · tight
  • Q5_K_M 25.9 GB · too big
  • Q8_0 38.6 GB · too big
Calculator
ERNIE 4.5 21B-A3BQ4_K_M · 14.2 GB—
  • Q4_K_M 14.2 GB · fits
  • Q8_0 24.5 GB · tight
Calculator
GPT-OSS 20BMXFP4 · 12.8 GB+0.0%
  • Q4_K_M 11.3 GB · fits
  • MXFP4 12.8 GB · fits
  • Q8_0 14.1 GB · fits
Calculator
Gemma 3 12B ITQ5_K_M · 9.8 GB+1.3%
  • AWQ INT4 7.2 GB · fits
  • Q4_K_M 8.5 GB · fits
  • Q5_K_M 9.8 GB · fits
Calculator

RTX 5090

32 GB

ModelDownloadPerplexity riseEvery level at 4K
Nemotron 3.5 Bolt 74B-A9BIQ2_XXS · 23.1 GB—
  • IQ2_XXS 23.1 GB · fits
Calculator
GLM-4.7-FlashQ4_K_M · 19.2 GB—
  • Q4_K_M 19.2 GB · fits
  • Q8_0 33.5 GB · tight
Calculator
Gemma 3 27B ITQ4_K_M · 18.4 GB+2.8%
  • Q3_K_M 14.9 GB · fits
  • AWQ INT4 15.3 GB · fits
  • Q4_K_M 18.4 GB · fits
Calculator

Radeon RX 9070 XT

16 GB

ModelDownloadPerplexity riseEvery level at 4K
Mistral Small 24B InstructAWQ INT4 · 13.2 GB+3.8%
  • AWQ INT4 13.2 GB · fits
  • EXL2 4.65bpw 15.3 GB · won't load here
  • Q4_K_M 15.9 GB · tight
Calculator
Devstral Small 1.1 24BAWQ INT4 · 13.0 GB+4.0%
  • AWQ INT4 13.0 GB · fits
  • EXL2 4.65bpw 15.0 GB · won't load here
  • Q4_K_M 15.6 GB · tight
  • Q5_K_M 18.2 GB · too big
  • Q6_K 20.9 GB · too big
Calculator
Magistral Small 1.2 24BAWQ INT4 · 13.0 GB+4.0%
  • AWQ INT4 13.0 GB · fits
  • EXL2 4.65bpw 15.0 GB · won't load here
  • Q4_K_M 15.6 GB · tight
  • Q5_K_M 18.2 GB · too big
  • Q6_K 20.9 GB · too big
Calculator
Falcon 3 10B InstructQ4_K_M · 7.3 GB+3.1%
  • GPTQ INT4 6.1 GB · fits
  • Q4_K_M 7.3 GB · fits
Calculator
Gemma 4 E4B ITQ8_0 · 8.7 GB—
  • Q4_K_M 5.3 GB · fits
  • Q8_0 8.7 GB · fits
Calculator

Mac M4 Pro 24G

24 GB

ModelDownloadPerplexity riseEvery level at 4K
Qwen3-VL 30B-A3B InstructQ3_K_M · 15.8 GB+5.4%
  • Q3_K_M 15.8 GB · fits
  • AWQ INT4 16.4 GB · won't load here
  • Q4_K_M 19.7 GB · too big
  • Q8_0 34.3 GB · too big
Calculator
North Mini Code 1.0 30B-A3BQ3_K_M · 15.3 GB—
  • Q3_K_M 15.3 GB · fits
  • Q4_K_M 20.0 GB · too big
  • Q8_0 34.3 GB · too big
Calculator
DeepSeek-V2-Lite ChatQ4_K_M · 10.1 GB+3.0%
  • AWQ INT4 8.3 GB · won't load here
  • Q4_K_M 10.1 GB · fits
Calculator
Gemma 3 12B ITQ5_K_M · 9.8 GB+1.3%
  • AWQ INT4 7.2 GB · won't load here
  • Q4_K_M 8.5 GB · fits
  • Q5_K_M 9.8 GB · fits
Calculator

32 GB RAM (CPU)

32 GB

ModelDownloadPerplexity riseEvery level at 4K
Nemotron 3.5 Bolt 74B-A9BIQ2_XXS · 23.1 GB—
  • IQ2_XXS 23.1 GB · fits
Calculator
GLM-4.7-FlashQ4_K_M · 19.2 GB—
  • Q4_K_M 19.2 GB · fits
  • Q8_0 33.5 GB · tight
Calculator
Gemma 3 27B ITQ4_K_M · 18.4 GB+2.8%
  • Q3_K_M 14.9 GB · fits
  • AWQ INT4 15.3 GB · won't load here
  • Q4_K_M 18.4 GB · fits
Calculator

Another card? Each of the 78 cards in the index has its own page with every model that fits: all GPU pages

How the pick is made

Every level the model is published at is sized with the VRAM calculator at 4K context, then judged against the card: green is at most 88% of it, amber up to 105%, and a format the card's runtime cannot read is out at any size. Of the green levels, the pick is the most faithful one: the lowest published perplexity rise when the level has one, otherwise the most bits per weight — within one model more bits is closer to the original, which is the only ordering the data supports when no perplexity was published. It is the same rule the calculator's "Best fit" uses, so the two always agree.

What the level names mean

The number is roughly the bits stored per weight. GGUF Q8_0 keeps about 8.5 bits, Q6_K about 6.6, Q5_K_M about 5.7, Q4_K_M about 4.9 and Q3_K_M about 3.9; the file shrinks in step, and the perplexity rise grows as the bits fall. AWQ INT4 and GPTQ INT4 are 4-bit formats that vLLM runs, usually a little smaller than Q4_K_M. A model released in a native low-bit format, such as GPT-OSS in MXFP4, has no full-precision original to lose against, so that level is the reference.

Common questions

Q4 or Q5 — which should I pick?
If both are green on your card at the context you need, take the higher one: it is closer to the original model and costs only memory you have spare. If only Q4 is green, take Q4 rather than a tight Q5 — a level that barely loads leaves no room for context, and the runtime may push layers to system memory, which is far slower. Where a model's perplexity is published for both levels, its own page shows the difference.
Why does the pick change when I raise the context?
The weights stay the same size at any context, but the KV cache grows with every token of context, and it shares the card with them. A level that is green at 4K can turn amber at 32K, and the pick moves down a level to make room. The context-length page shows how far each pick stretches; the calculator recomputes the pick at whatever context you set.
Why is the pick AWQ on some cards, and can I use it on Windows?
AWQ INT4 stores every layer at 4 bits, so it is smaller than GGUF Q4_K_M and can be the only level that fits a card comfortably. It runs in vLLM, which needs Linux or WSL2 — Ollama and LM Studio on native Windows load GGUF only. If that is your setup, take the best GGUF row in the table instead, even if it is amber, and keep the context short.