UIGEN X 4B 0729 — Hardware Requirements & GPU Compatibility
ChatReasoning
14 downloads
49 likesSpecifications
- Publisher
- Tesslate
- Parameters
- 4.0B
- Architecture
- Qwen3ForCausalLM
- Context Length
- 40,960 tokens
- Vocabulary Size
- 151,936
- Release Date
- 2025-07-29
- License
- Apache 2.0
Get Started
HuggingFace
How Much VRAM Does UIGEN X 4B 0729 Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| BF16 | 16.00 | 8.5 GB | 12.1 GB | 8.04 GB | Brain floating point 16 — preferred for training |
Which GPUs Can Run UIGEN X 4B 0729?
BF16 · 8.5 GBUIGEN X 4B 0729 (BF16) requires 8.5 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 12+ GB is recommended. Using the full 41K context window can add up to 3.6 GB, bringing total usage to 12.1 GB. 28 GPUs can run it, including NVIDIA GeForce RTX 5090, NVIDIA GeForce RTX 3090 Ti, NVIDIA GeForce RTX 3080 Ti.
Runs great
— Plenty of headroom
Decent
— Enough VRAM, may be tightWhich Devices Can Run UIGEN X 4B 0729?
BF16 · 8.5 GB27 devices with unified memory can run UIGEN X 4B 0729, including NVIDIA DGX H100, NVIDIA DGX A100 640GB.
Runs great
— Plenty of headroomRelated Models
Frequently Asked Questions
- How much VRAM does UIGEN X 4B 0729 need?
UIGEN X 4B 0729 requires 8.5 GB of VRAM at BF16. Full 41K context adds up to 3.6 GB (12.1 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 4.0B × 16 bits ÷ 8 = 8 GB
KV Cache + Overhead ≈ 0.5 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 4.1 GB (at full 41K context)
VRAM usage by quantization
BF168.5 GBBF16 + full context12.1 GB- Can I run UIGEN X 4B 0729 on a Mac?
UIGEN X 4B 0729 requires at least 8.5 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 UIGEN X 4B 0729 locally?
Yes — UIGEN X 4B 0729 can run locally on consumer hardware. At BF16 quantization it needs 8.5 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is UIGEN X 4B 0729?
At BF16, UIGEN X 4B 0729 can reach ~342 tok/s on AMD Instinct MI300X. On NVIDIA GeForce RTX 4090: ~77 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 ÷ 8.5 × 0.55 = ~342 tok/s
Estimated speed at BF16 (8.5 GB)
AMD Instinct MI300X~342 tok/sNVIDIA GeForce RTX 4090~77 tok/sNVIDIA H100 SXM~255 tok/sAMD Instinct MI250X~211 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of UIGEN X 4B 0729?
At BF16, the download is about 8.04 GB.
- Which GPUs can run UIGEN X 4B 0729?
28 consumer GPUs can run UIGEN X 4B 0729 at BF16 (8.5 GB). Top options include AMD Radeon RX 6800, AMD Radeon RX 6800 XT, AMD Radeon RX 6900 XT, AMD Radeon RX 6700 XT. 17 GPUs have plenty of headroom for comfortable inference.
- Which devices can run UIGEN X 4B 0729?
27 devices with unified memory can run UIGEN X 4B 0729 at BF16 (8.5 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.