NCP ArchPreview Dolma3 8.9B Stage2 v3 — Hardware Requirements & GPU Compatibility
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NCP ArchPreview Dolma3 8.9B Stage2 v3 is a 8.9B-parameter open language model from ArchSpace-Collection. It supports a context window of up to 8,192 tokens. At BF16 it needs about 19.66 GB of VRAM — see which GPUs and Macs can run it below.
1.0K downloads
4 likesSpecifications
- Publisher
- ArchSpace-Collection
- Parameters
- 8.9B
- Architecture
- NCPOlmo3ForCausalLM
- Context Length
- 8,192 tokens
- Vocabulary Size
- 100,278
- Release Date
- 2026-08-27
- License
- Apache 2.0
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How Much VRAM Does NCP ArchPreview Dolma3 8.9B Stage2 v3 Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| BF16est. | 16.00 | 19.7 GB | — | 17.88 GB | Brain floating point 16 — preferred for training |
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 NCP ArchPreview Dolma3 8.9B Stage2 v3?
BF16 · 19.7 GBNCP ArchPreview Dolma3 8.9B Stage2 v3 (BF16) requires 19.7 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 26+ GB is recommended. 8 GPUs can run it, including NVIDIA GeForce RTX 5090, NVIDIA GeForce RTX 3090 Ti.
Runs great
— Plenty of headroom
Which Devices Can Run NCP ArchPreview Dolma3 8.9B Stage2 v3?
BF16 · 19.7 GB41 devices with unified memory can run NCP ArchPreview Dolma3 8.9B Stage2 v3, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, Mac Mini M4 Pro (24 GB).
Runs great
— Plenty of headroomDecent
— Enough memory, may be tightRelated Models
Frequently Asked Questions
- How much VRAM does NCP ArchPreview Dolma3 8.9B Stage2 v3 need?
NCP ArchPreview Dolma3 8.9B Stage2 v3 requires 19.7 GB of VRAM at BF16.
VRAM = Weights + KV Cache + Overhead
Weights = 8.9B × 16 bits ÷ 8 = 17.9 GB
KV Cache + Overhead ≈ 1.8 GB (at 2K context + ~0.3 GB framework)
VRAM usage by quantization
BF1619.7 GB- Can I run NCP ArchPreview Dolma3 8.9B Stage2 v3 on a Mac?
NCP ArchPreview Dolma3 8.9B Stage2 v3 requires at least 19.7 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 NCP ArchPreview Dolma3 8.9B Stage2 v3 locally?
Yes — NCP ArchPreview Dolma3 8.9B Stage2 v3 can run locally on consumer hardware. At BF16 quantization it needs 19.7 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is NCP ArchPreview Dolma3 8.9B Stage2 v3?
At BF16, NCP ArchPreview Dolma3 8.9B Stage2 v3 can reach ~244 tok/s on AMD Instinct MI350X. 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: NVIDIA B200 → 8000 ÷ 19.7 × 0.65 = ~265 tok/s
Estimated speed at BF16 (19.7 GB)
~265 tok/s~33 tok/s~265 tok/s~244 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of NCP ArchPreview Dolma3 8.9B Stage2 v3?
At BF16, the download is about 17.88 GB.
- Which GPUs can run NCP ArchPreview Dolma3 8.9B Stage2 v3?
8 consumer GPUs can run NCP ArchPreview Dolma3 8.9B Stage2 v3 at BF16 (19.7 GB). Top options include NVIDIA GeForce RTX 5090, AMD Radeon RX 7900 XT, AMD Radeon RX 7900 XTX. 1 GPU have plenty of headroom for comfortable inference.
- Which devices can run NCP ArchPreview Dolma3 8.9B Stage2 v3?
41 devices with unified memory can run NCP ArchPreview Dolma3 8.9B Stage2 v3 at BF16 (19.7 GB), including AMD Ryzen AI 9 HX 370 (Strix Point) Laptop, ASUS Ascent GX10, Asus ROG Flow Z13 (2025, Ryzen AI Max+ 395, 128 GB), Beelink GTR9 Pro (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.