XortronCriminalComputingConfig — Hardware Requirements & GPU Compatibility
Chat
XortronCriminalComputingConfig is a 23.6B-parameter open language model from darkc0de. It supports a context window of up to 32,768 tokens. At FP16 it needs about 47.86 GB of VRAM — see which GPUs and Macs can run it below.
721 downloads
137 likesSpecifications
- Publisher
- darkc0de
- Parameters
- 23.6B
- Architecture
- MistralForCausalLM
- Context Length
- 32,768 tokens
- Vocabulary Size
- 131,072
- Release Date
- 2025-07-07
- License
- Apache 2.0
Get Started
HuggingFace
How Much VRAM Does XortronCriminalComputingConfig Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| FP16 | 16.00 | 47.9 GB | 54.2 GB | 47.14 GB | Full half-precision — baseline for inference |
Which GPUs Can Run XortronCriminalComputingConfig?
FP16 · 47.9 GBXortronCriminalComputingConfig (FP16) requires 47.9 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 63+ GB is recommended. Using the full 33K context window can add up to 6.3 GB, bringing total usage to 54.2 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Which Devices Can Run XortronCriminalComputingConfig?
FP16 · 47.9 GB11 devices with unified memory can run XortronCriminalComputingConfig, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, Mac Studio M4 Max (64 GB).
Runs great
— Plenty of headroom
Related Models
Frequently Asked Questions
- How much VRAM does XortronCriminalComputingConfig need?
XortronCriminalComputingConfig requires 47.9 GB of VRAM at FP16. Full 33K context adds up to 6.3 GB (54.2 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 23.6B × 16 bits ÷ 8 = 47.1 GB
KV Cache + Overhead ≈ 0.8 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 7.1 GB (at full 33K context)
VRAM usage by quantization
FP1647.9 GBFP16 + full context54.2 GB- Can NVIDIA GeForce RTX 5090 run XortronCriminalComputingConfig?
No — XortronCriminalComputingConfig requires at least 47.9 GB at FP16, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
- Can I run XortronCriminalComputingConfig on a Mac?
XortronCriminalComputingConfig requires at least 47.9 GB at FP16, 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 XortronCriminalComputingConfig locally?
Yes — XortronCriminalComputingConfig can run locally on consumer hardware. At FP16 quantization it needs 47.9 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is XortronCriminalComputingConfig?
At FP16, XortronCriminalComputingConfig can reach ~61 tok/s on AMD Instinct MI300X. 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 ÷ 47.9 × 0.55 = ~61 tok/s
Estimated speed at FP16 (47.9 GB)
~61 tok/s~46 tok/s~38 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of XortronCriminalComputingConfig?
At FP16, the download is about 47.14 GB.
- Which GPUs can run XortronCriminalComputingConfig?
No single consumer GPU has enough VRAM to run XortronCriminalComputingConfig at FP16 (47.9 GB). Multi-GPU or professional hardware is required.
- Which devices can run XortronCriminalComputingConfig?
11 devices with unified memory can run XortronCriminalComputingConfig at FP16 (47.9 GB), including Mac Mini M4 Pro (48 GB), Mac Pro M2 Ultra (192 GB), Mac Studio M2 Ultra (192 GB), Mac Studio M4 Max (128 GB). Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.