AI21 Jamba Large 1.5 — Hardware Requirements & GPU Compatibility
ChatAI21 Jamba Large 1.5 is a 398.6B-parameter open language model from AI21 Labs in the Jamba family. At BF16 it needs about 876.82 GB of VRAM — see which GPUs and Macs can run it below.
Specifications
- Publisher
- AI21 Labs
- Family
- Jamba
- Parameters
- 398.6B
- Release Date
- 2024-08-19
- License
- Other
Get Started
HuggingFace
How Much VRAM Does AI21 Jamba Large 1.5 Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| BF16est. | 16.00 | 876.8 GB | — | 797.11 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 AI21 Jamba Large 1.5?
BF16 · 876.8 GBAI21 Jamba Large 1.5 (BF16) requires 876.8 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 1140+ GB is recommended. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Benchmarks
Benchmark details →Related Models
Frequently Asked Questions
- How much VRAM does AI21 Jamba Large 1.5 need?
AI21 Jamba Large 1.5 requires 876.8 GB of VRAM at BF16.
VRAM = Weights + KV Cache + Overhead
Weights = 398.6B × 16 bits ÷ 8 = 797.1 GB
KV Cache + Overhead ≈ 79.7 GB (at 2K context + ~0.3 GB framework)
VRAM usage by quantization
BF16876.8 GB- Can NVIDIA GeForce RTX 5090 run AI21 Jamba Large 1.5?
No — AI21 Jamba Large 1.5 requires at least 876.8 GB at BF16, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
- Can I run AI21 Jamba Large 1.5 on a Mac?
AI21 Jamba Large 1.5 requires at least 876.8 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 AI21 Jamba Large 1.5 locally?
Yes — AI21 Jamba Large 1.5 can run locally on consumer hardware. At BF16 quantization it needs 876.8 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- What's the download size of AI21 Jamba Large 1.5?
At BF16, the download is about 797.11 GB.
- Which GPUs can run AI21 Jamba Large 1.5?
No single consumer GPU has enough VRAM to run AI21 Jamba Large 1.5 at BF16 (876.8 GB). Multi-GPU or professional hardware is required.
- Which devices can run AI21 Jamba Large 1.5?
AI21 Jamba Large 1.5 requires at least 876.8 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.