text model · Falcon · Windows
Can I run Falcon3 10B on Nvidia GeForce GTX 1070 (8GB)?
No. Falcon3 10B needs ~7.5 GB even at Q4_K_M, but Nvidia GeForce GTX 1070 (8GB) only has ~7 GB usable.
Needs ~7.5 GB even at Q4_K_M, but only ~7 GB is usable.
That figure is at a 4k context and moves about ±15% as context length changes.
The gap is about 0.5 GB: Falcon3 10B needs roughly 7.5 GB at Q4_K_M and Nvidia GeForce GTX 1070 (8GB) leaves only about 7 GB usable for a model. The lightest tracked hardware that runs Falcon3 10B is the Nvidia GeForce RTX 3060 (12GB) at 12 GB. See Falcon3 10B on Nvidia GeForce RTX 3060 (12GB).
- Q4_K_M needed
- ~7.5 GB
- Usable on device
- ~7 GB
- Device memory
- 8 GB
Which quant fits
- Parameters
- 10B
- Q4_K_M size
- 5.86 GB
- Q8_0 size
- 10.2 GB
- Context
- 32k
- Ollama tag
- falcon3:10b
- Memory
- 8 GB vram
- Usable for weights
- ~7 GB
- Power draw
- ~150 W
- Best runtime
- llama.cpp CUDA (Pascal, no tensor cores)
What you can run instead
Run Falcon3 10B on other hardware
FAQ
Can Nvidia GeForce GTX 1070 (8GB) run Falcon3 10B?
No. Falcon3 10B needs ~7.5 GB even at Q4_K_M, but Nvidia GeForce GTX 1070 (8GB) only has ~7 GB usable.
How much memory does Falcon3 10B need?
Nvidia GeForce GTX 1070 (8GB) does not have enough memory. At Q4_K_M the weights are ~5.86 GB; with KV cache and runtime overhead, budget ~7.5 GB at a 4k context.
What is the best tool to run Falcon3 10B on Windows?
LM Studio for a simple setup; Ollama (CUDA) for the most speed. AMD GPUs run via Vulkan/ROCm at roughly half CUDA throughput. NVIDIA is the smooth path on Windows.
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A live badge for your model card or README, updated as the data is. [](https://localmodel.run/can-i-run/falcon3-10b/nvidia-gtx-1070-8gb) Sources
Weights are measured from GGUF files; KV cache and overhead are computed, so totals can vary ~15% with context and runtime. Any tok/s is a bandwidth estimate. See methodology.