GigaChat3.5 432B A28B — Hardware Requirements & GPU Compatibility
ChatFunctions
GigaChat3.5 432B A28B is a 433.8B-parameter open language model from ai-sage. It supports a context window of up to 262,144 tokens. At BF16 it needs about 870.20 GB of VRAM — see which GPUs and Macs can run it below.
1.8K downloads
65 likesSpecifications
- Publisher
- ai-sage
- Parameters
- 433.8B
- Architecture
- GigaChat35ForCausalLM
- Context Length
- 262,144 tokens
- Vocabulary Size
- 128,256
- Release Date
- 2026-07-05
- License
- MIT
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HuggingFace
How Much VRAM Does GigaChat3.5 432B A28B Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| BF16est. | 16.00 | 870.2 GB | 1168.5 GB | 867.55 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 GigaChat3.5 432B A28B?
BF16 · 870.2 GBGigaChat3.5 432B A28B (BF16) requires 870.2 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 1132+ GB is recommended. Using the full 262K context window can add up to 298.3 GB, bringing total usage to 1168.5 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Frequently Asked Questions
- How much VRAM does GigaChat3.5 432B A28B need?
GigaChat3.5 432B A28B requires 870.2 GB of VRAM at BF16. Full 262K context adds up to 298.3 GB (1168.5 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 433.8B × 16 bits ÷ 8 = 867.5 GB
KV Cache + Overhead ≈ 2.7 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 301 GB (at full 262K context)
VRAM usage by quantization
BF16870.2 GBBF16 + full context1168.5 GB- Can NVIDIA GeForce RTX 5090 run GigaChat3.5 432B A28B?
No — GigaChat3.5 432B A28B requires at least 870.2 GB at BF16, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
- Can I run GigaChat3.5 432B A28B on a Mac?
GigaChat3.5 432B A28B requires at least 870.2 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 GigaChat3.5 432B A28B locally?
Yes — GigaChat3.5 432B A28B can run locally on consumer hardware. At BF16 quantization it needs 870.2 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- What's the download size of GigaChat3.5 432B A28B?
At BF16, the download is about 867.55 GB.
- Which GPUs can run GigaChat3.5 432B A28B?
No single consumer GPU has enough VRAM to run GigaChat3.5 432B A28B at BF16 (870.2 GB). Multi-GPU or professional hardware is required.
- Which devices can run GigaChat3.5 432B A28B?
GigaChat3.5 432B A28B requires at least 870.2 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.