Falcon3 Mamba 7B Base — Hardware Requirements & GPU Compatibility
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Falcon3 Mamba 7B Base is a 7.3B-parameter open language model from TII UAE in the Falcon family. At BF16 it needs about 16.00 GB of VRAM — see which GPUs and Macs can run it below.
413 downloads
24 likesSpecifications
- Publisher
- TII UAE
- Family
- Falcon
- Parameters
- 7.3B
- Architecture
- FalconMambaForCausalLM
- Vocabulary Size
- 65,024
- Release Date
- 2024-12-11
- License
- Other
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HuggingFace
How Much VRAM Does Falcon3 Mamba 7B Base Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| BF16est. | 16.00 | 16 GB | — | 14.55 GB | Brain floating point 16 — preferred for training |
est.= calculated VRAM estimate; no published GGUF file found for that quantization yet. Other rows are verified against real community uploads.
Which GPUs Can Run Falcon3 Mamba 7B Base?
BF16 · 16 GBFalcon3 Mamba 7B Base (BF16) requires 16 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 21+ GB is recommended. 26 GPUs can run it, including NVIDIA GeForce RTX 5090, NVIDIA GeForce RTX 3090 Ti, NVIDIA GeForce RTX 5080.
Runs great
— Plenty of headroom
Decent
— Enough VRAM, may be tightWhich Devices Can Run Falcon3 Mamba 7B Base?
BF16 · 16 GB47 devices with unified memory can run Falcon3 Mamba 7B Base, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, Mac Mini M4 (16 GB).
Runs great
— Plenty of headroomRelated Models
Frequently Asked Questions
- How much VRAM does Falcon3 Mamba 7B Base need?
Falcon3 Mamba 7B Base requires 16 GB of VRAM at BF16.
VRAM = Weights + KV Cache + Overhead
Weights = 7.3B × 16 bits ÷ 8 = 14.5 GB
KV Cache + Overhead ≈ 1.5 GB (at 2K context + ~0.3 GB framework)
VRAM usage by quantization
BF1616.0 GB- Can I run Falcon3 Mamba 7B Base on a Mac?
Falcon3 Mamba 7B Base requires at least 16 GB at BF16, which exceeds the unified memory of most consumer Macs. You would need a Mac Studio or Mac Pro with a high-memory configuration.
- Can I run Falcon3 Mamba 7B Base locally?
Yes — Falcon3 Mamba 7B Base can run locally on consumer hardware. At BF16 quantization it needs 16 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Falcon3 Mamba 7B Base?
At BF16, Falcon3 Mamba 7B Base can reach ~275 tok/s on AMD Instinct MI350X. On NVIDIA GeForce RTX 4090: ~41 tok/s. Speed depends mainly on GPU memory bandwidth. Real-world results typically within ±20%.
tok/s = (bandwidth GB/s ÷ model GB) × efficiency
Example: NVIDIA B200 → 8000 ÷ 16.0 × 0.65 = ~325 tok/s
Estimated speed at BF16 (16 GB)
~325 tok/s~41 tok/s~325 tok/s~275 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Falcon3 Mamba 7B Base?
At BF16, the download is about 14.55 GB.
- Which GPUs can run Falcon3 Mamba 7B Base?
26 consumer GPUs can run Falcon3 Mamba 7B Base at BF16 (16 GB). Top options include AMD Radeon RX 7900 XTX, NVIDIA GeForce RTX 3090, NVIDIA GeForce RTX 3090 Ti, AMD Radeon RX 6800. 7 GPUs have plenty of headroom for comfortable inference.
- Which devices can run Falcon3 Mamba 7B Base?
49 devices with unified memory can run Falcon3 Mamba 7B Base at BF16 (16 GB), including AMD Ryzen AI 9 HX 370 (Strix Point) Laptop, ASUS Ascent GX10, Asus ROG Flow Z13 (2025, Ryzen AI Max+ 395, 128 GB), Beelink GTR9 Pro (Ryzen AI Max+ 395, 128 GB). Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.