Domyn Small v1.0 — Hardware Requirements & GPU Compatibility
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Domyn Small v1.0 is a 9.8B-parameter open language model from domyn. It supports a context window of up to 32,768 tokens. At BF16 it needs about 20.15 GB of VRAM — see which GPUs and Macs can run it below.
1.9K downloads
15 likesSpecifications
- Publisher
- domyn
- Parameters
- 9.8B
- Architecture
- NemotronForCausalLM
- Context Length
- 32,768 tokens
- Vocabulary Size
- 256,000
- Release Date
- 2026-05-19
- License
- Other
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HuggingFace
How Much VRAM Does Domyn Small v1.0 Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| BF16 | 16.00 | 20.1 GB | 23.5 GB | 19.63 GB | Brain floating point 16 — preferred for training |
Which GPUs Can Run Domyn Small v1.0?
BF16 · 20.1 GBDomyn Small v1.0 (BF16) requires 20.1 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 27+ GB is recommended. Using the full 33K context window can add up to 3.4 GB, bringing total usage to 23.5 GB. 5 GPUs can run it, including NVIDIA GeForce RTX 5090, NVIDIA GeForce RTX 3090 Ti.
Runs great
— Plenty of headroom
Decent
— Enough VRAM, may be tightWhich Devices Can Run Domyn Small v1.0?
BF16 · 20.1 GB21 devices with unified memory can run Domyn Small v1.0, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, Mac Mini M4 Pro (24 GB).
Runs great
— Plenty of headroomRelated Models
Frequently Asked Questions
- How much VRAM does Domyn Small v1.0 need?
Domyn Small v1.0 requires 20.1 GB of VRAM at BF16. Full 33K context adds up to 3.4 GB (23.5 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 9.8B × 16 bits ÷ 8 = 19.6 GB
KV Cache + Overhead ≈ 0.5 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 3.9 GB (at full 33K context)
VRAM usage by quantization
BF1620.1 GBBF16 + full context23.5 GB- Can I run Domyn Small v1.0 on a Mac?
Domyn Small v1.0 requires at least 20.1 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 Domyn Small v1.0 locally?
Yes — Domyn Small v1.0 can run locally on consumer hardware. At BF16 quantization it needs 20.1 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Domyn Small v1.0?
At BF16, Domyn Small v1.0 can reach ~145 tok/s on AMD Instinct MI300X. On NVIDIA GeForce RTX 4090: ~33 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 ÷ 20.1 × 0.55 = ~145 tok/s
Estimated speed at BF16 (20.1 GB)
~145 tok/s~33 tok/s~108 tok/s~89 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Domyn Small v1.0?
At BF16, the download is about 19.63 GB.
- Which GPUs can run Domyn Small v1.0?
5 consumer GPUs can run Domyn Small v1.0 at BF16 (20.1 GB). Top options include NVIDIA GeForce RTX 5090, AMD Radeon RX 7900 XTX, NVIDIA GeForce RTX 3090. 1 GPU have plenty of headroom for comfortable inference.
- Which devices can run Domyn Small v1.0?
21 devices with unified memory can run Domyn Small v1.0 at BF16 (20.1 GB), including Mac Mini M4 (32 GB), Mac Mini M4 Pro (24 GB), Mac Mini M4 Pro (48 GB), Mac Pro M2 Ultra (192 GB). Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.