H2ovl Mississippi 2B — Hardware Requirements & GPU Compatibility
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H2ovl Mississippi 2B is a 2.2B-parameter open language model from h2oai. At BF16 it needs about 4.74 GB of VRAM — see which GPUs and Macs can run it below.
1.1M downloads
43 likesSpecifications
- Publisher
- h2oai
- Parameters
- 2.2B
- Architecture
- H2OVLChatModel
- Release Date
- 2024-10-15
- License
- Apache 2.0
Get Started
HuggingFace
How Much VRAM Does H2ovl Mississippi 2B Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| BF16est. | 16.00 | 4.7 GB | — | 4.30 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 H2ovl Mississippi 2B?
BF16 · 4.7 GBH2ovl Mississippi 2B (BF16) requires 4.7 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 7+ GB is recommended. 50 GPUs can run it, including NVIDIA GeForce RTX 5090, NVIDIA GeForce RTX 3090 Ti.
Runs great
— Plenty of headroomWhich Devices Can Run H2ovl Mississippi 2B?
BF16 · 4.7 GB59 devices with unified memory can run H2ovl Mississippi 2B, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, Apple iPhone 17 Pro.
Runs great
— Plenty of headroom
Decent
— Enough memory, may be tightFrequently Asked Questions
- How much VRAM does H2ovl Mississippi 2B need?
H2ovl Mississippi 2B requires 4.7 GB of VRAM at BF16.
VRAM = Weights + KV Cache + Overhead
Weights = 2.2B × 16 bits ÷ 8 = 4.3 GB
KV Cache + Overhead ≈ 0.4 GB (at 2K context + ~0.3 GB framework)
VRAM usage by quantization
BF164.7 GB- Can I run H2ovl Mississippi 2B on a Mac?
H2ovl Mississippi 2B requires at least 4.7 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 H2ovl Mississippi 2B locally?
Yes — H2ovl Mississippi 2B can run locally on consumer hardware. At BF16 quantization it needs 4.7 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is H2ovl Mississippi 2B?
At BF16, H2ovl Mississippi 2B can reach ~928 tok/s on AMD Instinct MI350X. On NVIDIA GeForce RTX 4090: ~138 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 ÷ 4.7 × 0.65 = ~1097 tok/s
Estimated speed at BF16 (4.7 GB)
~1097 tok/s~138 tok/s~1097 tok/s~928 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of H2ovl Mississippi 2B?
At BF16, the download is about 4.30 GB.
- Which GPUs can run H2ovl Mississippi 2B?
50 consumer GPUs can run H2ovl Mississippi 2B at BF16 (4.7 GB). Top options include AMD Radeon RX 6700 XT, AMD Radeon RX 6800, AMD Radeon RX 6800 XT. 50 GPUs have plenty of headroom for comfortable inference.
- Which devices can run H2ovl Mississippi 2B?
59 devices with unified memory can run H2ovl Mississippi 2B at BF16 (4.7 GB), including AMD Ryzen AI 9 HX 370 (Strix Point) Laptop, ASUS Ascent GX10, Apple iPhone 17 Pro, Asus ROG Flow Z13 (2025, 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.