Can I Run Falcon 3 on 64 GB system RAM?
Written by Jakub Rusinowski · Last updated December 18, 2024
Yes — comfortably
Yes, comfortably — Falcon 3 10B Instruct at Q8_0 needs about 13.1 GB of the 51.2 GB usable on 64 GB system RAM, leaving ~38.1 GB spare and running at ~5.7 tok/s (estimated), with room for about 32,768 tokens of context.
Confidence: high · Recommended quantization: Q8_0 · Estimated speed: ~5.7 tok/s
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64 GB system RAM — what it gives a model
| Usable memory for models | 51.2 GB |
| Memory bandwidth | 90 GB/s |
Falcon 3 on 64 GB system RAM: memory by quantization
| Quant | Memory needed | Fits 51.2 GB? | Max context | Est. speed | Download |
|---|---|---|---|---|---|
| F16 | 22.7 GB | ✓ Yes | 32K | ~3.1 tok/s | 20.6 GB |
| Q8_0 | 13.1 GB | ✓ Yes | 32K | ~5.7 tok/s | 10.9 GB |
| Q6_K | 10.6 GB | ✓ Yes | 32K | ~7.3 tok/s | 8.4 GB |
| Q5_K_M | 9.4 GB | ✓ Yes | 32K | ~8.3 tok/s | 7.3 GB |
| Q4_K_M | 8.4 GB | ✓ Yes | 32K | ~9.5 tok/s | 6.2 GB |
| Q3_K_M | 6.5 GB | ✓ Yes | 32K | ~12.9 tok/s | 4.4 GB |
| Q2_K | 5.5 GB | ✓ Yes | 32K | ~16 tok/s | 3.4 GB |
Which Falcon 3 sizes fit
| Variant | Needs at Q4_K_M | Fits? | Est. speed |
|---|---|---|---|
| Falcon 3 10B Instruct | 8.4 GB | ✓ Fits | ~9.5 tok/s |
| Falcon 3 7B Instruct | 6.2 GB | ✓ Fits | ~13.1 tok/s |
| Falcon 3 3B Instruct | 3.5 GB | ✓ Fits | ~27.2 tok/s |
What to watch out for
- These figures assume CPU-only inference. Any discrete GPU, even an 8 GB one, will be several times faster for models that fit in its VRAM.
Recommended setup
llama.cpp (CPU build) or Ollama — both run without a GPU
How these numbers are calculated
- Memory need = quantized weights + KV cache at 8,192 tokens (f16) + 0.8 GB runtime overhead.
- 51.2 GB of the 64 GB is treated as usable for model weights (80% — the rest is the OS and running applications).
- DDR5-5600 dual channel at 89.6 GB/s peak. CPU decode is assumed to sustain 35% of that peak, because CPU inference is not purely bandwidth-bound — it also spends real time in compute and thread synchronisation. This figure is an assumption, not a fitted constant: no CPU measurement is in the calibration set.
- CPU-only inference: no GPU is assumed. A GPU of any size will beat these figures substantially.
- Throughput is a memory-bandwidth roofline estimate, not a measurement. It is labelled "estimated" everywhere it appears.
- KV cache is computed from this model's published attention configuration.
FAQ
Can I run Falcon 3 on 64 GB system RAM?
Yes, comfortably — Falcon 3 10B Instruct at Q8_0 needs about 13.1 GB of the 51.2 GB usable on 64 GB system RAM, leaving ~38.1 GB spare and running at ~5.7 tok/s (estimated), with room for about 32,768 tokens of context.
Which quantization of Falcon 3 should I use on 64 GB system RAM?
Q8_0 — it needs about 13.1 GB of the 51.2 GB available, downloads as roughly 10.9 GB, and runs at an estimated 5.7 tokens/sec with up to 32K of context.
What limits Falcon 3 on 64 GB system RAM?
Nothing binding — the model fits with headroom and generates at a usable speed on this hardware.
Which runtime should I use?
llama.cpp (CPU build) or Ollama — both run without a GPU
Other RAM Capacities
Other Models on 64 GB system RAM
- Gemma 2 Family on 64 GB system RAM
- Gemma 3 on 64 GB system RAM
- Gemma 3n on 64 GB system RAM
- Gemma 4 on 64 GB system RAM
- GLM-4.7 / GLM-Z1 on 64 GB system RAM
Falcon 3 on GPUs
- Falcon 3 on NVIDIA GeForce RTX 5070
- Falcon 3 on NVIDIA GeForce RTX 5060 Ti 8GB
- Falcon 3 on NVIDIA GeForce RTX 5060
- Falcon 3 on NVIDIA GeForce RTX 4070 Ti
What This Model Is Good At
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