Bielik 4.5B V3.0 Instruct — Hardware Requirements & GPU Compatibility
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Bielik 4.5B V3.0 Instruct is a 4.8B-parameter open language model from speakleash. At BF16 it needs about 10.47 GB of VRAM — see which GPUs and Macs can run it below.
4.1K downloads
30 likesSpecifications
- Publisher
- speakleash
- Parameters
- 4.8B
- Release Date
- 2026-01-28
- License
- Apache 2.0
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HuggingFace
How Much VRAM Does Bielik 4.5B V3.0 Instruct Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| BF16 | 16.00 | 10.5 GB | — | 9.51 GB | Brain floating point 16 — preferred for training |
Which GPUs Can Run Bielik 4.5B V3.0 Instruct?
BF16 · 10.5 GBBielik 4.5B V3.0 Instruct (BF16) requires 10.5 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 14+ GB is recommended. 27 GPUs can run it, including NVIDIA GeForce RTX 5090, NVIDIA GeForce RTX 3090 Ti, NVIDIA GeForce RTX 3080 Ti.
Runs great
— Plenty of headroom
Decent
— Enough VRAM, may be tightWhich Devices Can Run Bielik 4.5B V3.0 Instruct?
BF16 · 10.5 GB27 devices with unified memory can run Bielik 4.5B V3.0 Instruct, including NVIDIA DGX H100, NVIDIA DGX A100 640GB.
Runs great
— Plenty of headroomRelated Models
Frequently Asked Questions
- How much VRAM does Bielik 4.5B V3.0 Instruct need?
Bielik 4.5B V3.0 Instruct requires 10.5 GB of VRAM at BF16.
VRAM = Weights + KV Cache + Overhead
Weights = 4.8B × 16 bits ÷ 8 = 9.5 GB
KV Cache + Overhead ≈ 1 GB (at 2K context + ~0.3 GB framework)
VRAM usage by quantization
BF1610.5 GB- Can I run Bielik 4.5B V3.0 Instruct on a Mac?
Bielik 4.5B V3.0 Instruct requires at least 10.5 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 Bielik 4.5B V3.0 Instruct locally?
Yes — Bielik 4.5B V3.0 Instruct can run locally on consumer hardware. At BF16 quantization it needs 10.5 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Bielik 4.5B V3.0 Instruct?
At BF16, Bielik 4.5B V3.0 Instruct can reach ~278 tok/s on AMD Instinct MI300X. On NVIDIA GeForce RTX 4090: ~63 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 ÷ 10.5 × 0.55 = ~278 tok/s
Estimated speed at BF16 (10.5 GB)
~278 tok/s~63 tok/s~208 tok/s~172 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Bielik 4.5B V3.0 Instruct?
At BF16, the download is about 9.51 GB.
- Which GPUs can run Bielik 4.5B V3.0 Instruct?
27 consumer GPUs can run Bielik 4.5B V3.0 Instruct at BF16 (10.5 GB). Top options include AMD Radeon RX 6800, AMD Radeon RX 6800 XT, AMD Radeon RX 6900 XT, AMD Radeon RX 6700 XT. 17 GPUs have plenty of headroom for comfortable inference.
- Which devices can run Bielik 4.5B V3.0 Instruct?
27 devices with unified memory can run Bielik 4.5B V3.0 Instruct at BF16 (10.5 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.