Titus CybersecurityLLM v1.0 MLX 4Bit — Hardware Requirements & GPU Compatibility
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Titus CybersecurityLLM v1.0 MLX 4Bit is a 34.7B-parameter open language model from AlicanKiraz0. It supports a context window of up to 262,144 tokens. At Q4_K_M it needs about 21.18 GB of VRAM — see which GPUs and Macs can run it below.
551 downloads
12 likesSpecifications
- Publisher
- AlicanKiraz0
- Parameters
- 34.7B
- Architecture
- Qwen3_5MoeForConditionalGeneration
- Context Length
- 262,144 tokens
- Vocabulary Size
- 248,320
- Release Date
- 2026-05-27
- License
- Apache 2.0
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How Much VRAM Does Titus CybersecurityLLM v1.0 MLX 4Bit Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q4_K_M | 4.80 | 21.2 GB | 31.8 GB | 20.80 GB | 4-bit medium quantization — most popular sweet spot |
Which GPUs Can Run Titus CybersecurityLLM v1.0 MLX 4Bit?
Q4_K_M · 21.2 GBTitus CybersecurityLLM v1.0 MLX 4Bit (Q4_K_M) requires 21.2 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 28+ GB is recommended. Using the full 262K context window can add up to 10.6 GB, bringing total usage to 31.8 GB. 5 GPUs can run it, including NVIDIA GeForce RTX 5090, NVIDIA GeForce RTX 3090 Ti.
Runs great
— Plenty of headroom
Decent
— Enough VRAM, may be tightWhich Devices Can Run Titus CybersecurityLLM v1.0 MLX 4Bit?
Q4_K_M · 21.2 GB21 devices with unified memory can run Titus CybersecurityLLM v1.0 MLX 4Bit, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, Mac Mini M4 Pro (24 GB).
Runs great
— Plenty of headroomRelated Models
Frequently Asked Questions
- How much VRAM does Titus CybersecurityLLM v1.0 MLX 4Bit need?
Titus CybersecurityLLM v1.0 MLX 4Bit requires 21.2 GB of VRAM at Q4_K_M. Full 262K context adds up to 10.6 GB (31.8 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 34.7B × 4.8 bits ÷ 8 = 20.8 GB
KV Cache + Overhead ≈ 0.4 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 11 GB (at full 262K context)
VRAM usage by quantization
Q4_K_M21.2 GBQ4_K_M + full context31.8 GB- Can I run Titus CybersecurityLLM v1.0 MLX 4Bit on a Mac?
Titus CybersecurityLLM v1.0 MLX 4Bit requires at least 21.2 GB at Q4_K_M, 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 Titus CybersecurityLLM v1.0 MLX 4Bit locally?
Yes — Titus CybersecurityLLM v1.0 MLX 4Bit can run locally on consumer hardware. At Q4_K_M quantization it needs 21.2 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Titus CybersecurityLLM v1.0 MLX 4Bit?
At Q4_K_M, Titus CybersecurityLLM v1.0 MLX 4Bit can reach ~138 tok/s on AMD Instinct MI300X. On NVIDIA GeForce RTX 4090: ~31 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 ÷ 21.2 × 0.55 = ~138 tok/s
Estimated speed at Q4_K_M (21.2 GB)
~138 tok/s~31 tok/s~103 tok/s~85 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Titus CybersecurityLLM v1.0 MLX 4Bit?
At Q4_K_M, the download is about 20.80 GB.
- Which GPUs can run Titus CybersecurityLLM v1.0 MLX 4Bit?
5 consumer GPUs can run Titus CybersecurityLLM v1.0 MLX 4Bit at Q4_K_M (21.2 GB). Top options include NVIDIA GeForce RTX 5090, AMD Radeon RX 7900 XTX, NVIDIA GeForce RTX 3090. 1 GPU have plenty of headroom for comfortable inference.
- Which devices can run Titus CybersecurityLLM v1.0 MLX 4Bit?
21 devices with unified memory can run Titus CybersecurityLLM v1.0 MLX 4Bit at Q4_K_M (21.2 GB), including Mac Mini M4 (32 GB), Mac Mini M4 Pro (24 GB), Mac Mini M4 Pro (48 GB), Mac Pro M2 Ultra (192 GB). Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.