Openwebui Title Generator 270M — Hardware Requirements & GPU Compatibility
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5 downloads
6 likesSpecifications
- Publisher
- gghfez
- Parameters
- 268M
- Architecture
- Gemma3ForCausalLM
- Context Length
- 32,768 tokens
- Vocabulary Size
- 262,144
- Release Date
- 2025-08-30
- License
- Gemma Terms
Get Started
HuggingFace
How Much VRAM Does Openwebui Title Generator 270M Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| BF16 | 16.00 | 0.9 GB | 1.2 GB | 0.54 GB | Brain floating point 16 — preferred for training |
Which GPUs Can Run Openwebui Title Generator 270M?
BF16 · 0.9 GBOpenwebui Title Generator 270M (BF16) requires 0.9 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 2+ GB is recommended. Using the full 33K context window can add up to 0.4 GB, bringing total usage to 1.2 GB. 35 GPUs can run it, including NVIDIA GeForce RTX 5090, NVIDIA GeForce RTX 3090 Ti.
Runs great
— Plenty of headroomWhich Devices Can Run Openwebui Title Generator 270M?
BF16 · 0.9 GB33 devices with unified memory can run Openwebui Title Generator 270M, including NVIDIA DGX H100, NVIDIA DGX A100 640GB.
Runs great
— Plenty of headroomRelated Models
Frequently Asked Questions
- How much VRAM does Openwebui Title Generator 270M need?
Openwebui Title Generator 270M requires 0.9 GB of VRAM at BF16.
VRAM = Weights + KV Cache + Overhead
Weights = 268M × 16 bits ÷ 8 = 0.5 GB
KV Cache + Overhead ≈ 0.4 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 0.7 GB (at full 33K context)
VRAM usage by quantization
BF160.9 GBBF16 + full context1.2 GB- Can I run Openwebui Title Generator 270M on a Mac?
Openwebui Title Generator 270M requires at least 0.9 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 Openwebui Title Generator 270M locally?
Yes — Openwebui Title Generator 270M can run locally on consumer hardware. At BF16 quantization it needs 0.9 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Openwebui Title Generator 270M?
At BF16, Openwebui Title Generator 270M can reach ~3390 tok/s on AMD Instinct MI300X. On NVIDIA GeForce RTX 4090: ~762 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 ÷ 0.9 × 0.55 = ~3390 tok/s
Estimated speed at BF16 (0.9 GB)
AMD Instinct MI300X~3390 tok/sNVIDIA GeForce RTX 4090~762 tok/sNVIDIA H100 SXM~2534 tok/sAMD Instinct MI250X~2096 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Openwebui Title Generator 270M?
At BF16, the download is about 0.54 GB.
- Which GPUs can run Openwebui Title Generator 270M?
35 consumer GPUs can run Openwebui Title Generator 270M at BF16 (0.9 GB). Top options include AMD Radeon RX 6700 XT, AMD Radeon RX 6800, AMD Radeon RX 6800 XT. 35 GPUs have plenty of headroom for comfortable inference.
- Which devices can run Openwebui Title Generator 270M?
33 devices with unified memory can run Openwebui Title Generator 270M at BF16 (0.9 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.