K2 Horizon 375B A23B — Hardware Requirements & GPU Compatibility
ChatK2 Horizon 375B A23B is a 379.2B-parameter open language model from IFM. It supports a context window of up to 524,288 tokens. At BF16 it needs about 759.15 GB of VRAM — see which GPUs and Macs can run it below.
Specifications
- Publisher
- IFM
- Parameters
- 379.2B
- Architecture
- K2HorizonForCausalLM
- Context Length
- 524,288 tokens
- Vocabulary Size
- 250,624
- Release Date
- 2026-09-01
- License
- Apache 2.0
Get Started
HuggingFace
How Much VRAM Does K2 Horizon 375B A23B Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| BF16est. | 16.00 | 759.1 GB | 889.6 GB | 758.33 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 K2 Horizon 375B A23B?
BF16 · 759.1 GBK2 Horizon 375B A23B (BF16) requires 759.1 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 987+ GB is recommended. Using the full 524K context window can add up to 130.5 GB, bringing total usage to 889.6 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Frequently Asked Questions
- How much VRAM does K2 Horizon 375B A23B need?
K2 Horizon 375B A23B requires 759.1 GB of VRAM at BF16. Full 524K context adds up to 130.5 GB (889.6 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 379.2B × 16 bits ÷ 8 = 758.3 GB
KV Cache + Overhead ≈ 0.9 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 131.3 GB (at full 524K context)
VRAM usage by quantization
BF16759.1 GBBF16 + full context889.6 GB- Can NVIDIA GeForce RTX 5090 run K2 Horizon 375B A23B?
No — K2 Horizon 375B A23B requires at least 759.1 GB at BF16, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
- Can I run K2 Horizon 375B A23B on a Mac?
K2 Horizon 375B A23B requires at least 759.1 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 K2 Horizon 375B A23B locally?
Yes — K2 Horizon 375B A23B can run locally on consumer hardware. At BF16 quantization it needs 759.1 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- What's the download size of K2 Horizon 375B A23B?
At BF16, the download is about 758.33 GB.
- Which GPUs can run K2 Horizon 375B A23B?
No single consumer GPU has enough VRAM to run K2 Horizon 375B A23B at BF16 (759.1 GB). Multi-GPU or professional hardware is required.
- Which devices can run K2 Horizon 375B A23B?
K2 Horizon 375B A23B requires at least 759.1 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.