Edge0 35B A3B Preview — Hardware Requirements & GPU Compatibility
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Edge0 35B A3B Preview is a 34.7B-parameter open language model from Edge0. It supports a context window of up to 262,144 tokens. At BF16 it needs about 69.71 GB of VRAM — see which GPUs and Macs can run it below.
78.6K downloads
3.6K likesSpecifications
- Publisher
- Edge0
- Parameters
- 34.7B
- Architecture
- Qwen3_5MoeForConditionalGeneration
- Context Length
- 262,144 tokens
- Vocabulary Size
- 248,320
- Release Date
- 2026-09-08
- License
- Apache 2.0
Get Started
HuggingFace
How Much VRAM Does Edge0 35B A3B Preview Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| BF16est. | 16.00 | 69.7 GB | 80.4 GB | 69.32 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 Edge0 35B A3B Preview?
BF16 · 69.7 GBEdge0 35B A3B Preview (BF16) requires 69.7 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 91+ GB is recommended. Using the full 262K context window can add up to 10.7 GB, bringing total usage to 80.4 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Which Devices Can Run Edge0 35B A3B Preview?
BF16 · 69.7 GB19 devices with unified memory can run Edge0 35B A3B Preview, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, Mac Studio (M3 Ultra, 96GB).
Runs great
— Plenty of headroom
Decent
— Enough memory, may be tightRelated Models
Frequently Asked Questions
- How much VRAM does Edge0 35B A3B Preview need?
Edge0 35B A3B Preview requires 69.7 GB of VRAM at BF16. Full 262K context adds up to 10.7 GB (80.4 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 34.7B × 16 bits ÷ 8 = 69.3 GB
KV Cache + Overhead ≈ 0.4 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 11.1 GB (at full 262K context)
VRAM usage by quantization
BF1669.7 GBBF16 + full context80.4 GB- Can NVIDIA GeForce RTX 5090 run Edge0 35B A3B Preview?
No — Edge0 35B A3B Preview requires at least 69.7 GB at BF16, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
- Can I run Edge0 35B A3B Preview on a Mac?
Edge0 35B A3B Preview requires at least 69.7 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 Edge0 35B A3B Preview locally?
Yes — Edge0 35B A3B Preview can run locally on consumer hardware. At BF16 quantization it needs 69.7 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Edge0 35B A3B Preview?
At BF16, Edge0 35B A3B Preview can reach ~106 tok/s on AMD Instinct MI350X. 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 ÷ 69.7 × 0.65 = ~283 tok/s
Estimated speed at BF16 (69.7 GB)
~283 tok/s~283 tok/s~228 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Edge0 35B A3B Preview?
At BF16, the download is about 69.32 GB.
- Which GPUs can run Edge0 35B A3B Preview?
No single consumer GPU has enough VRAM to run Edge0 35B A3B Preview at BF16 (69.7 GB). Multi-GPU or professional hardware is required.
- Which devices can run Edge0 35B A3B Preview?
19 devices with unified memory can run Edge0 35B A3B Preview at BF16 (69.7 GB), including ASUS Ascent GX10, Asus ROG Flow Z13 (2025, Ryzen AI Max+ 395, 128 GB), Beelink GTR9 Pro (Ryzen AI Max+ 395, 128 GB), Framework Desktop (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.