Falcon 7B — Hardware Requirements & GPU Compatibility
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Falcon 7B was one of the first truly competitive open-source large language models, released in mid-2023 by the Technology Innovation Institute in Abu Dhabi. Trained on the massive RefinedWeb dataset, it demonstrated that carefully curated web data could rival models trained on more traditionally assembled corpora. At 7 billion parameters, Falcon 7B helped establish the 7B class as the sweet spot for local inference, offering genuine language understanding on consumer GPUs with as little as 6 GB of VRAM.
378.1K downloads
1.1K likesSpecifications
- Publisher
- TII UAE
- Family
- Falcon
- Parameters
- 7.2B
- Architecture
- FalconForCausalLM
- Vocabulary Size
- 65,024
- Release Date
- 2023-04-24
- License
- Apache 2.0
Get Started
HuggingFace
How Much VRAM Does Falcon 7B Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q2_K | 3.40 | 3.4 GB | — | 3.07 GB | 2-bit quantization with K-quant improvements |
| Q3_K_S | 3.50 | 3.5 GB | — | 3.16 GB | 3-bit small quantization |
| Q3_K_M | 3.90 | 3.9 GB | — | 3.52 GB | 3-bit medium quantization |
| Q4_K_M | 4.80 | 4.8 GB | — | 4.33 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_M | 5.70 | 5.7 GB | — | 5.14 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_K | 6.60 | 6.5 GB | — | 5.95 GB | 6-bit quantization, very good quality |
| Q8_0 | 8.00 | 7.9 GB | — | 7.22 GB | 8-bit quantization, near-lossless |
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 Falcon 7B?
Q4_K_M · 4.8 GBFalcon 7B (Q4_K_M) requires 4.8 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 7+ GB is recommended. 50 GPUs can run it, including NVIDIA GeForce RTX 5090, NVIDIA GeForce RTX 3090 Ti.
Runs great
— Plenty of headroomWhich Devices Can Run Falcon 7B?
Q4_K_M · 4.8 GB59 devices with unified memory can run Falcon 7B, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, Apple iPhone 17 Pro.
Runs great
— Plenty of headroom
Decent
— Enough memory, may be tightWhere to Download Falcon 7B
Community quantizations of this model — GGUF for llama.cpp, Ollama, and LM Studio, plus AWQ/MLX variants where available.
Benchmarks
Benchmark details →Related Models
Frequently Asked Questions
- How much VRAM does Falcon 7B need?
Falcon 7B requires 4.8 GB of VRAM at Q4_K_M, or 15.9 GB at BF16.
VRAM = Weights + KV Cache + Overhead
Weights = 7.2B × 4.8 bits ÷ 8 = 4.3 GB
KV Cache + Overhead ≈ 0.5 GB (at 2K context + ~0.3 GB framework)
VRAM usage by quantization
Q4_K_M4.8 GB- What's the best quantization for Falcon 7B?
For Falcon 7B, Q4_K_M (4.8 GB) offers the best balance of quality and VRAM usage. Q5_K_S (5.5 GB) provides better quality if you have the VRAM. The smallest option is Q2_K at 3.4 GB.
VRAM requirement by quantization
Q2_K3.4 GBQ3_K_L4.1 GBQ4_K_M ★4.8 GBQ5_K_S5.5 GBQ5_K_M5.7 GBBF1615.9 GB★ Recommended — best balance of quality and VRAM usage.
- Can I run Falcon 7B on a Mac?
Falcon 7B requires at least 3.4 GB at Q2_K, 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 Falcon 7B locally?
Yes — Falcon 7B can run locally on consumer hardware. At Q4_K_M quantization it needs 4.8 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Falcon 7B?
At Q4_K_M, Falcon 7B can reach ~924 tok/s on AMD Instinct MI350X. On NVIDIA GeForce RTX 4090: ~138 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 ÷ 4.8 × 0.65 = ~1092 tok/s
Estimated speed at Q4_K_M (4.8 GB)
~1092 tok/s~138 tok/s~1092 tok/s~924 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Falcon 7B?
At Q4_K_M, the download is about 4.33 GB. The full-precision BF16 version is 14.43 GB. The smallest option (Q2_K) is 3.07 GB.
- Which GPUs can run Falcon 7B?
50 consumer GPUs can run Falcon 7B at Q4_K_M (4.8 GB). Top options include AMD Radeon RX 6700 XT, AMD Radeon RX 6800, AMD Radeon RX 6800 XT. 50 GPUs have plenty of headroom for comfortable inference.
- Which devices can run Falcon 7B?
59 devices with unified memory can run Falcon 7B at Q4_K_M (4.8 GB), including AMD Ryzen AI 9 HX 370 (Strix Point) Laptop, ASUS Ascent GX10, Apple iPhone 17 Pro, Asus ROG Flow Z13 (2025, 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.