Solar Open2 250B — Hardware Requirements & GPU Compatibility
ChatSolar Open2 250B is a 250.3B-parameter open language model from Upstage in the Solar family. It supports a context window of up to 1,048,576 tokens. At BF16 it needs about 501.08 GB of VRAM — see which GPUs and Macs can run it below.
Specifications
- Publisher
- Upstage
- Family
- Solar
- Parameters
- 250.3B
- Architecture
- SolarOpen2ForCausalLM
- Context Length
- 1,048,576 tokens
- Vocabulary Size
- 196,608
- Release Date
- 2026-07-22
- License
- Other
Get Started
HuggingFace
How Much VRAM Does Solar Open2 250B Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| BF16est. | 16.00 | 501.1 GB | 604.0 GB | 500.58 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 Solar Open2 250B?
BF16 · 501.1 GBSolar Open2 250B (BF16) requires 501.1 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 652+ GB is recommended. Using the full 1049K context window can add up to 102.9 GB, bringing total usage to 604.0 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Which Devices Can Run Solar Open2 250B?
BF16 · 501.1 GB2 devices with unified memory can run Solar Open2 250B, including NVIDIA DGX H100.
Decent
— Enough memory, may be tightFrequently Asked Questions
- How much VRAM does Solar Open2 250B need?
Solar Open2 250B requires 501.1 GB of VRAM at BF16. Full 1049K context adds up to 102.9 GB (604.0 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 250.3B × 16 bits ÷ 8 = 500.6 GB
KV Cache + Overhead ≈ 0.5 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 103.4 GB (at full 1049K context)
VRAM usage by quantization
BF16501.1 GBBF16 + full context604.0 GB- Can NVIDIA GeForce RTX 5090 run Solar Open2 250B?
No — Solar Open2 250B requires at least 501.1 GB at BF16, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
- Can I run Solar Open2 250B on a Mac?
Solar Open2 250B requires at least 501.1 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 Solar Open2 250B locally?
Yes — Solar Open2 250B can run locally on consumer hardware. At BF16 quantization it needs 501.1 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- What's the download size of Solar Open2 250B?
At BF16, the download is about 500.58 GB.
- Which GPUs can run Solar Open2 250B?
No single consumer GPU has enough VRAM to run Solar Open2 250B at BF16 (501.1 GB). Multi-GPU or professional hardware is required.
- Which devices can run Solar Open2 250B?
3 devices with unified memory can run Solar Open2 250B at BF16 (501.1 GB), including Mac Studio (M3 Ultra, 512GB), NVIDIA DGX A100 640GB, NVIDIA DGX H100. Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.