DarkIdol Llama 3.1 8B Instruct 1.2 Uncensored GGUF — Hardware Requirements & GPU Compatibility
ChatRoleplay
DarkIdol Llama 3.1 8B Instruct 1.2 Uncensored GGUF is a 8B-parameter open language model from QuantFactory in the Llama 3 family. At Q4_K_M it needs about 5.28 GB of VRAM — see which GPUs and Macs can run it below.
7.9K downloads
144 likesSpecifications
- Publisher
- QuantFactory
- Family
- Llama 3
- Parameters
- 8B
- Release Date
- 2024-07-29
- License
- Llama 3.1 Community
Get Started
How Much VRAM Does DarkIdol Llama 3.1 8B Instruct 1.2 Uncensored GGUF Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q2_K | 3.40 | 3.7 GB | — | 3.40 GB | 2-bit quantization with K-quant improvements |
| Q3_K_S | 3.50 | 3.9 GB | — | 3.50 GB | 3-bit small quantization |
| Q3_K_M | 3.90 | 4.3 GB | — | 3.90 GB | 3-bit medium quantization |
| Q4_0 | 4.00 | 4.4 GB | — | 4.00 GB | 4-bit legacy quantization |
| Q4_K_M | 4.80 | 5.3 GB | — | 4.80 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_M | 5.70 | 6.3 GB | — | 5.70 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_K | 6.60 | 7.3 GB | — | 6.60 GB | 6-bit quantization, very good quality |
| Q8_0 | 8.00 | 8.8 GB | — | 8.00 GB | 8-bit quantization, near-lossless |
Which GPUs Can Run DarkIdol Llama 3.1 8B Instruct 1.2 Uncensored GGUF?
Q4_K_M · 5.3 GBDarkIdol Llama 3.1 8B Instruct 1.2 Uncensored GGUF (Q4_K_M) requires 5.3 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 7+ GB is recommended. 35 GPUs can run it, including NVIDIA GeForce RTX 5090, NVIDIA GeForce RTX 3090 Ti.
Runs great
— Plenty of headroomWhich Devices Can Run DarkIdol Llama 3.1 8B Instruct 1.2 Uncensored GGUF?
Q4_K_M · 5.3 GB33 devices with unified memory can run DarkIdol Llama 3.1 8B Instruct 1.2 Uncensored GGUF, including NVIDIA DGX H100, NVIDIA DGX A100 640GB.
Runs great
— Plenty of headroomRelated Models
Frequently Asked Questions
- How much VRAM does DarkIdol Llama 3.1 8B Instruct 1.2 Uncensored GGUF need?
DarkIdol Llama 3.1 8B Instruct 1.2 Uncensored GGUF requires 5.3 GB of VRAM at Q4_K_M, or 8.8 GB at Q8_0.
VRAM = Weights + KV Cache + Overhead
Weights = 8B × 4.8 bits ÷ 8 = 4.8 GB
KV Cache + Overhead ≈ 0.5 GB (at 2K context + ~0.3 GB framework)
VRAM usage by quantization
Q4_K_M5.3 GB- What's the best quantization for DarkIdol Llama 3.1 8B Instruct 1.2 Uncensored GGUF?
For DarkIdol Llama 3.1 8B Instruct 1.2 Uncensored GGUF, Q4_K_M (5.3 GB) offers the best balance of quality and VRAM usage. Q5_0 (5.5 GB) provides better quality if you have the VRAM. The smallest option is Q2_K at 3.7 GB.
VRAM requirement by quantization
Q2_K3.7 GBQ4_04.4 GBQ4_K_M ★5.3 GBQ5_05.5 GBQ5_K_S6.0 GBQ8_08.8 GB★ Recommended — best balance of quality and VRAM usage.
- Can I run DarkIdol Llama 3.1 8B Instruct 1.2 Uncensored GGUF on a Mac?
DarkIdol Llama 3.1 8B Instruct 1.2 Uncensored GGUF requires at least 3.7 GB at Q2_K, 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 DarkIdol Llama 3.1 8B Instruct 1.2 Uncensored GGUF locally?
Yes — DarkIdol Llama 3.1 8B Instruct 1.2 Uncensored GGUF can run locally on consumer hardware. At Q4_K_M quantization it needs 5.3 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is DarkIdol Llama 3.1 8B Instruct 1.2 Uncensored GGUF?
At Q4_K_M, DarkIdol Llama 3.1 8B Instruct 1.2 Uncensored GGUF can reach ~552 tok/s on AMD Instinct MI300X. On NVIDIA GeForce RTX 4090: ~124 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 ÷ 5.3 × 0.55 = ~552 tok/s
Estimated speed at Q4_K_M (5.3 GB)
~552 tok/s~124 tok/s~413 tok/s~341 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of DarkIdol Llama 3.1 8B Instruct 1.2 Uncensored GGUF?
At Q4_K_M, the download is about 4.80 GB. The full-precision Q8_0 version is 8.00 GB. The smallest option (Q2_K) is 3.40 GB.
- Which GPUs can run DarkIdol Llama 3.1 8B Instruct 1.2 Uncensored GGUF?
35 consumer GPUs can run DarkIdol Llama 3.1 8B Instruct 1.2 Uncensored GGUF at Q4_K_M (5.3 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 DarkIdol Llama 3.1 8B Instruct 1.2 Uncensored GGUF?
33 devices with unified memory can run DarkIdol Llama 3.1 8B Instruct 1.2 Uncensored GGUF at Q4_K_M (5.3 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.