Altar 1 — Hardware Requirements & GPU Compatibility
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Altar 1 is a 500.8B-parameter open language model from AikidoSec. It supports a context window of up to 1,048,576 tokens. At BF16 it needs about 1005.88 GB of VRAM — see which GPUs and Macs can run it below.
2.1K downloads
205 likesSpecifications
- Publisher
- AikidoSec
- Parameters
- 500.8B
- Architecture
- GlmMoeDsaForCausalLM
- Context Length
- 1,048,576 tokens
- Vocabulary Size
- 154,880
- Release Date
- 2026-09-07
- License
- Other
Get Started
HuggingFace
How Much VRAM Does Altar 1 Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| BF16est. | 16.00 | 1005.9 GB | 3012 GB | 1001.65 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 Altar 1?
BF16 · 1005.9 GBAltar 1 (BF16) requires 1005.9 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 1308+ GB is recommended. Using the full 1049K context window can add up to 2006.1 GB, bringing total usage to 3012 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Frequently Asked Questions
- How much VRAM does Altar 1 need?
Altar 1 requires 1005.9 GB of VRAM at BF16. Full 1049K context adds up to 2006.1 GB (3012 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 500.8B × 16 bits ÷ 8 = 1001.7 GB
KV Cache + Overhead ≈ 4.2 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 2010.3 GB (at full 1049K context)
VRAM usage by quantization
BF161005.9 GBBF16 + full context3012.0 GB- Can NVIDIA GeForce RTX 5090 run Altar 1?
No — Altar 1 requires at least 1005.9 GB at BF16, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
- Can I run Altar 1 on a Mac?
Altar 1 requires at least 1005.9 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 Altar 1 locally?
Yes — Altar 1 can run locally on consumer hardware. At BF16 quantization it needs 1005.9 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- What's the download size of Altar 1?
At BF16, the download is about 1001.65 GB.
- Which GPUs can run Altar 1?
No single consumer GPU has enough VRAM to run Altar 1 at BF16 (1005.9 GB). Multi-GPU or professional hardware is required.
- Which devices can run Altar 1?
Altar 1 requires at least 1005.9 GB at BF16, which exceeds the unified memory of most consumer devices. A high-memory Mac Studio, Mac Pro, or multi-GPU desktop setup is recommended.