Violet Twilight v0.2 — Hardware Requirements & GPU Compatibility
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396 downloads
46 likesSpecifications
- Publisher
- Epiculous
- Parameters
- 12.2B
- Architecture
- MistralForCausalLM
- Context Length
- 1,024,000 tokens
- Vocabulary Size
- 131,072
- Release Date
- 2024-10-13
- License
- Apache 2.0
Get Started
HuggingFace
How Much VRAM Does Violet Twilight v0.2 Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q3_K_S | 3.50 | 6.1 GB | 215.4 GB | 5.36 GB | 3-bit small quantization |
| Q3_K_M | 3.90 | 6.7 GB | 216.0 GB | 5.97 GB | 3-bit medium quantization |
| Q4_K_M | 4.80 | 8.1 GB | 217.4 GB | 7.35 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_M | 5.70 | 9.4 GB | 218.7 GB | 8.73 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_K | 6.60 | 10.8 GB | 220.1 GB | 10.10 GB | 6-bit quantization, very good quality |
| Q8_0 | 8.00 | 13.0 GB | 222.3 GB | 12.25 GB | 8-bit quantization, near-lossless |
Which GPUs Can Run Violet Twilight v0.2?
Q4_K_M · 8.1 GBViolet Twilight v0.2 (Q4_K_M) requires 8.1 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 11+ GB is recommended. Using the full 1024K context window can add up to 209.3 GB, bringing total usage to 217.4 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 Violet Twilight v0.2?
Q4_K_M · 8.1 GB27 devices with unified memory can run Violet Twilight v0.2, including NVIDIA DGX H100, NVIDIA DGX A100 640GB.
Runs great
— Plenty of headroomRelated Models
Derivatives (1)
Frequently Asked Questions
- How much VRAM does Violet Twilight v0.2 need?
Violet Twilight v0.2 requires 8.1 GB of VRAM at Q4_K_M, or 13.0 GB at Q8_0. Full 1024K context adds up to 209.3 GB (217.4 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 12.2B × 4.8 bits ÷ 8 = 7.3 GB
KV Cache + Overhead ≈ 0.8 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 210.1 GB (at full 1024K context)
VRAM usage by quantization
Q4_K_M8.1 GBQ4_K_M + full context217.4 GB- What's the best quantization for Violet Twilight v0.2?
For Violet Twilight v0.2, Q4_K_M (8.1 GB) offers the best balance of quality and VRAM usage. Q5_1 (9.1 GB) provides better quality if you have the VRAM. The smallest option is IQ2_XXS at 4.1 GB.
VRAM requirement by quantization
IQ2_XXS4.1 GB~53%Q3_K_S6.1 GB~77%Q4_K_S7.6 GB~88%Q4_K_M ★8.1 GB~89%Q5_19.1 GB~92%Q8_013.0 GB~99%★ Recommended — best balance of quality and VRAM usage.
- Can I run Violet Twilight v0.2 on a Mac?
Violet Twilight v0.2 requires at least 4.1 GB at IQ2_XXS, 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 Violet Twilight v0.2 locally?
Yes — Violet Twilight v0.2 can run locally on consumer hardware. At Q4_K_M quantization it needs 8.1 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Violet Twilight v0.2?
At Q4_K_M, Violet Twilight v0.2 can reach ~361 tok/s on AMD Instinct MI300X. On NVIDIA GeForce RTX 4090: ~81 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 ÷ 8.1 × 0.55 = ~361 tok/s
Estimated speed at Q4_K_M (8.1 GB)
AMD Instinct MI300X~361 tok/sNVIDIA GeForce RTX 4090~81 tok/sNVIDIA H100 SXM~270 tok/sAMD Instinct MI250X~223 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Violet Twilight v0.2?
At Q4_K_M, the download is about 7.35 GB. The full-precision Q8_0 version is 12.25 GB. The smallest option (IQ2_XXS) is 3.37 GB.
- Which GPUs can run Violet Twilight v0.2?
28 consumer GPUs can run Violet Twilight v0.2 at Q4_K_M (8.1 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 Violet Twilight v0.2?
27 devices with unified memory can run Violet Twilight v0.2 at Q4_K_M (8.1 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.