Agentguard 2.8B — Hardware Requirements & GPU Compatibility
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Agentguard 2.8B is a 2.7B-parameter open language model from AryanNsc. At BF16 it needs about 5.95 GB of VRAM — see which GPUs and Macs can run it below.
38 downloads
2 likesSpecifications
- Publisher
- AryanNsc
- Parameters
- 2.7B
- Architecture
- Mamba2ForCausalLM
- Vocabulary Size
- 50,288
- Release Date
- 2026-03-12
- License
- Apache 2.0
Get Started
HuggingFace
How Much VRAM Does Agentguard 2.8B Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| BF16 | 16.00 | 6.0 GB | — | 5.41 GB | Brain floating point 16 — preferred for training |
Which GPUs Can Run Agentguard 2.8B?
BF16 · 6.0 GBAgentguard 2.8B (BF16) requires 6.0 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 8+ GB is recommended. 35 GPUs can run it, including NVIDIA GeForce RTX 5090, NVIDIA GeForce RTX 3090 Ti, NVIDIA GeForce RTX 3070 Ti.
Runs great
— Plenty of headroom
Which Devices Can Run Agentguard 2.8B?
BF16 · 6.0 GB33 devices with unified memory can run Agentguard 2.8B, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, MacBook Air 13" M3 (8 GB).
Runs great
— Plenty of headroomDecent
— Enough memory, may be tightRelated Models
Frequently Asked Questions
- How much VRAM does Agentguard 2.8B need?
Agentguard 2.8B requires 6.0 GB of VRAM at BF16.
VRAM = Weights + KV Cache + Overhead
Weights = 2.7B × 16 bits ÷ 8 = 5.4 GB
KV Cache + Overhead ≈ 0.5 GB (at 2K context + ~0.3 GB framework)
VRAM usage by quantization
BF166.0 GB- Can I run Agentguard 2.8B on a Mac?
Agentguard 2.8B requires at least 6.0 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 Agentguard 2.8B locally?
Yes — Agentguard 2.8B can run locally on consumer hardware. At BF16 quantization it needs 6.0 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Agentguard 2.8B?
At BF16, Agentguard 2.8B can reach ~490 tok/s on AMD Instinct MI300X. On NVIDIA GeForce RTX 4090: ~110 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 ÷ 6.0 × 0.55 = ~490 tok/s
Estimated speed at BF16 (6.0 GB)
~490 tok/s~110 tok/s~366 tok/s~303 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Agentguard 2.8B?
At BF16, the download is about 5.41 GB.
- Which GPUs can run Agentguard 2.8B?
35 consumer GPUs can run Agentguard 2.8B at BF16 (6.0 GB). Top options include AMD Radeon RX 6700 XT, AMD Radeon RX 6800, AMD Radeon RX 6800 XT, AMD Radeon RX 7600. 28 GPUs have plenty of headroom for comfortable inference.
- Which devices can run Agentguard 2.8B?
33 devices with unified memory can run Agentguard 2.8B at BF16 (6.0 GB), including Mac Mini M4 (16 GB), Mac Mini M4 (32 GB), Mac Mini M4 Pro (24 GB), Mac Mini M4 Pro (48 GB). Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.