Turkish Gemma 4B T1 Scout — Hardware Requirements & GPU Compatibility
ChatFunctionsReasoning
Turkish Gemma 4B T1 Scout is a 4.3B-parameter open language model from ytu-ce-cosmos in the Gemma family. It supports a context window of up to 131,072 tokens. At BF16 it needs about 9.26 GB of VRAM — see which GPUs and Macs can run it below.
234 downloads
9 likesSpecifications
- Publisher
- ytu-ce-cosmos
- Family
- Gemma
- Parameters
- 4.3B
- Architecture
- Gemma3ForConditionalGeneration
- Context Length
- 131,072 tokens
- Vocabulary Size
- 262,208
- Release Date
- 2026-03-06
- License
- Gemma Terms
Get Started
HuggingFace
How Much VRAM Does Turkish Gemma 4B T1 Scout Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| BF16 | 16.00 | 9.3 GB | 31.7 GB | 8.60 GB | Brain floating point 16 — preferred for training |
Which GPUs Can Run Turkish Gemma 4B T1 Scout?
BF16 · 9.3 GBTurkish Gemma 4B T1 Scout (BF16) requires 9.3 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 13+ GB is recommended. Using the full 131K context window can add up to 22.5 GB, bringing total usage to 31.7 GB. 28 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 Turkish Gemma 4B T1 Scout?
BF16 · 9.3 GB27 devices with unified memory can run Turkish Gemma 4B T1 Scout, including NVIDIA DGX H100, NVIDIA DGX A100 640GB.
Runs great
— Plenty of headroomRelated Models
Frequently Asked Questions
- How much VRAM does Turkish Gemma 4B T1 Scout need?
Turkish Gemma 4B T1 Scout requires 9.3 GB of VRAM at BF16. Full 131K context adds up to 22.5 GB (31.7 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 4.3B × 16 bits ÷ 8 = 8.6 GB
KV Cache + Overhead ≈ 0.7 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 23.1 GB (at full 131K context)
VRAM usage by quantization
BF169.3 GBBF16 + full context31.7 GB- Can I run Turkish Gemma 4B T1 Scout on a Mac?
Turkish Gemma 4B T1 Scout requires at least 9.3 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 Turkish Gemma 4B T1 Scout locally?
Yes — Turkish Gemma 4B T1 Scout can run locally on consumer hardware. At BF16 quantization it needs 9.3 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Turkish Gemma 4B T1 Scout?
At BF16, Turkish Gemma 4B T1 Scout can reach ~315 tok/s on AMD Instinct MI300X. On NVIDIA GeForce RTX 4090: ~71 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 ÷ 9.3 × 0.55 = ~315 tok/s
Estimated speed at BF16 (9.3 GB)
~315 tok/s~71 tok/s~235 tok/s~195 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Turkish Gemma 4B T1 Scout?
At BF16, the download is about 8.60 GB.
- Which GPUs can run Turkish Gemma 4B T1 Scout?
28 consumer GPUs can run Turkish Gemma 4B T1 Scout at BF16 (9.3 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 Turkish Gemma 4B T1 Scout?
27 devices with unified memory can run Turkish Gemma 4B T1 Scout at BF16 (9.3 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.