Falcon H1 7B Instruct — Hardware Requirements & GPU Compatibility
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Falcon H1 7B Instruct is a 7.6B-parameter open language model from TII UAE in the Falcon family. It supports a context window of up to 262,144 tokens. At Q4_K_M it needs about 5.04 GB of VRAM — see which GPUs and Macs can run it below.
7.6K downloads
33 likesSpecifications
- Publisher
- TII UAE
- Family
- Falcon
- Parameters
- 7.6B
- Architecture
- FalconH1ForCausalLM
- Context Length
- 262,144 tokens
- Vocabulary Size
- 130,049
- License
- Other
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HuggingFace
How Much VRAM Does Falcon H1 7B Instruct Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q2_K | 3.40 | 3.7 GB | 27.1 GB | 3.22 GB | 2-bit quantization with K-quant improvements |
| Q3_K_S | 3.50 | 3.8 GB | 27.2 GB | 3.32 GB | 3-bit small quantization |
| Q3_K_M | 3.90 | 4.2 GB | 27.6 GB | 3.70 GB | 3-bit medium quantization |
| Q4_0 | 4.00 | 4.3 GB | 27.7 GB | 3.79 GB | 4-bit legacy quantization |
| Q4_K_M | 4.80 | 5.0 GB | 28.5 GB | 4.55 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_M | 5.70 | 5.9 GB | 29.3 GB | 5.40 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_K | 6.60 | 6.7 GB | 30.2 GB | 6.26 GB | 6-bit quantization, very good quality |
| Q8_0 | 8.00 | 8.1 GB | 31.5 GB | 7.59 GB | 8-bit quantization, near-lossless |
Which GPUs Can Run Falcon H1 7B Instruct?
Q4_K_M · 5.0 GBFalcon H1 7B Instruct (Q4_K_M) requires 5.0 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 7+ GB is recommended. Using the full 262K context window can add up to 23.4 GB, bringing total usage to 28.5 GB. 35 GPUs can run it, including NVIDIA GeForce RTX 5090, NVIDIA GeForce RTX 3090 Ti.
Runs great
— Plenty of headroomWhich Devices Can Run Falcon H1 7B Instruct?
Q4_K_M · 5.0 GB33 devices with unified memory can run Falcon H1 7B Instruct, including NVIDIA DGX H100, NVIDIA DGX A100 640GB.
Runs great
— Plenty of headroomRelated Models
Derivatives (1)
Frequently Asked Questions
- How much VRAM does Falcon H1 7B Instruct need?
Falcon H1 7B Instruct requires 5.0 GB of VRAM at Q4_K_M, or 8.1 GB at Q8_0. Full 262K context adds up to 23.4 GB (28.5 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 7.6B × 4.8 bits ÷ 8 = 4.6 GB
KV Cache + Overhead ≈ 0.4 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 23.9 GB (at full 262K context)
VRAM usage by quantization
Q4_K_M5.0 GBQ4_K_M + full context28.5 GB- What's the best quantization for Falcon H1 7B Instruct?
For Falcon H1 7B Instruct, Q4_K_M (5.0 GB) offers the best balance of quality and VRAM usage. Q5_K_S (5.7 GB) provides better quality if you have the VRAM. The smallest option is IQ2_XXS at 2.6 GB.
VRAM requirement by quantization
IQ2_XXS2.6 GBQ3_K_S3.8 GBQ4_14.8 GBQ4_K_M ★5.0 GBQ5_K_S5.7 GBQ8_08.1 GB★ Recommended — best balance of quality and VRAM usage.
- Can I run Falcon H1 7B Instruct on a Mac?
Falcon H1 7B Instruct requires at least 2.6 GB at IQ2_XXS, 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 H1 7B Instruct locally?
Yes — Falcon H1 7B Instruct can run locally on consumer hardware. At Q4_K_M quantization it needs 5.0 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Falcon H1 7B Instruct?
At Q4_K_M, Falcon H1 7B Instruct can reach ~578 tok/s on AMD Instinct MI300X. On NVIDIA GeForce RTX 4090: ~130 tok/s. Speed depends mainly on GPU memory bandwidth. Real-world results typically within ±20%.
tok/s = (bandwidth GB/s ÷ model GB) × efficiency
Example: AMD Instinct MI300X → 5300 ÷ 5.0 × 0.55 = ~578 tok/s
Estimated speed at Q4_K_M (5.0 GB)
~578 tok/s~130 tok/s~432 tok/s~358 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Falcon H1 7B Instruct?
At Q4_K_M, the download is about 4.55 GB. The full-precision Q8_0 version is 7.59 GB. The smallest option (IQ2_XXS) is 2.09 GB.
- Which GPUs can run Falcon H1 7B Instruct?
35 consumer GPUs can run Falcon H1 7B Instruct at Q4_K_M (5.0 GB). Top options include AMD Radeon RX 6700 XT, AMD Radeon RX 6800, AMD Radeon RX 6800 XT. 35 GPUs have plenty of headroom for comfortable inference.
- Which devices can run Falcon H1 7B Instruct?
33 devices with unified memory can run Falcon H1 7B Instruct at Q4_K_M (5.0 GB), including Mac Mini M4 (16 GB), Mac Mini M4 (32 GB), Mac Mini M4 Pro (24 GB), Mac Mini M4 Pro (48 GB). Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.