Midnight Miqu 70B V1.5 — Hardware Requirements & GPU Compatibility
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Midnight Miqu 70B V1.5 is a 69.0B-parameter open language model from sophosympatheia. It supports a context window of up to 32,764 tokens. At Q4_K_M it needs about 42.36 GB of VRAM — see which GPUs and Macs can run it below.
7.9K downloads
264 likesSpecifications
- Publisher
- sophosympatheia
- Parameters
- 69.0B
- Architecture
- LlamaForCausalLM
- Context Length
- 32,764 tokens
- Vocabulary Size
- 32,000
- Release Date
- 2024-03-11
- License
- Other
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HuggingFace
How Much VRAM Does Midnight Miqu 70B V1.5 Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q2_Kest. | 3.40 | 30.3 GB | 40.4 GB | 29.32 GB | 2-bit quantization with K-quant improvements |
| Q3_K_Mest. | 3.90 | 34.6 GB | 44.7 GB | 33.63 GB | 3-bit medium quantization |
| Q4_K_Mest. | 4.80 | 42.4 GB | 52.4 GB | 41.39 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_Mest. | 5.70 | 50.1 GB | 60.2 GB | 49.15 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_Kest. | 6.60 | 57.9 GB | 67.9 GB | 56.91 GB | 6-bit quantization, very good quality |
| Q8_0est. | 8.00 | 70.0 GB | 80.0 GB | 68.98 GB | 8-bit quantization, near-lossless |
| FP16est. | 16.00 | 138.9 GB | 149.0 GB | 137.95 GB | Full half-precision — baseline for inference |
est.= calculated VRAM estimate; no published GGUF file found for that quantization yet. Other rows are verified against real community uploads.
Which GPUs Can Run Midnight Miqu 70B V1.5?
Q4_K_M · 42.4 GBMidnight Miqu 70B V1.5 (Q4_K_M) requires 42.4 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 56+ GB is recommended. Using the full 33K context window can add up to 10.1 GB, bringing total usage to 52.4 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Which Devices Can Run Midnight Miqu 70B V1.5?
Q4_K_M · 42.4 GB27 devices with unified memory can run Midnight Miqu 70B V1.5, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, MacBook Pro 16" M4 Max (48 GB).
Runs great
— Plenty of headroom
Related Models
Frequently Asked Questions
- How much VRAM does Midnight Miqu 70B V1.5 need?
Midnight Miqu 70B V1.5 requires 42.4 GB of VRAM at Q4_K_M, or 138.9 GB at FP16. Full 33K context adds up to 10.1 GB (52.4 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 69.0B × 4.8 bits ÷ 8 = 41.4 GB
KV Cache + Overhead ≈ 1 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 11 GB (at full 33K context)
VRAM usage by quantization
Q4_K_M42.4 GBQ4_K_M + full context52.4 GB- Can NVIDIA GeForce RTX 5090 run Midnight Miqu 70B V1.5?
Yes, at Q2_K (30.3 GB) or lower. Higher quantizations like Q3_K_M (34.6 GB) exceed the NVIDIA GeForce RTX 5090's 32 GB.
- What's the best quantization for Midnight Miqu 70B V1.5?
For Midnight Miqu 70B V1.5, Q4_K_M (42.4 GB) offers the best balance of quality and VRAM usage. Q5_K_M (50.1 GB) provides better quality if you have the VRAM. The smallest option is Q2_K at 30.3 GB.
VRAM requirement by quantization
Q2_K30.3 GBQ4_K_M ★42.4 GBQ5_K_M50.1 GBQ6_K57.9 GBQ8_070.0 GBFP16138.9 GB★ Recommended — best balance of quality and VRAM usage.
- Can I run Midnight Miqu 70B V1.5 on a Mac?
Midnight Miqu 70B V1.5 requires at least 30.3 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 Midnight Miqu 70B V1.5 locally?
Yes — Midnight Miqu 70B V1.5 can run locally on consumer hardware. At Q4_K_M quantization it needs 42.4 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Midnight Miqu 70B V1.5?
At Q4_K_M, Midnight Miqu 70B V1.5 can reach ~104 tok/s on AMD Instinct MI350X. Speed depends mainly on GPU memory bandwidth. Real-world results typically within ±20%.
tok/s = (bandwidth GB/s ÷ model GB) × efficiency
Example: NVIDIA B200 → 8000 ÷ 42.4 × 0.65 = ~123 tok/s
Estimated speed at Q4_K_M (42.4 GB)
~123 tok/s~123 tok/s~104 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Midnight Miqu 70B V1.5?
At Q4_K_M, the download is about 41.39 GB. The full-precision FP16 version is 137.95 GB. The smallest option (Q2_K) is 29.32 GB.
- Which GPUs can run Midnight Miqu 70B V1.5?
No single consumer GPU has enough VRAM to run Midnight Miqu 70B V1.5 at Q4_K_M (42.4 GB). Multi-GPU or professional hardware is required.
- Which devices can run Midnight Miqu 70B V1.5?
27 devices with unified memory can run Midnight Miqu 70B V1.5 at Q4_K_M (42.4 GB), including ASUS Ascent GX10, Asus ROG Flow Z13 (2025, Ryzen AI Max+ 395, 128 GB), Beelink GTR9 Pro (Ryzen AI Max+ 395, 128 GB), Framework Desktop (Ryzen AI Max+ 395, 128 GB). Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.