Dolphin X1 Trinity Nano — Hardware Requirements & GPU Compatibility
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Dolphin X1 Trinity Nano is a 6.1B-parameter open language model from dphn in the Phi family. It supports a context window of up to 131,072 tokens. At Q3_K_L it needs about 3.55 GB of VRAM — see which GPUs and Macs can run it below.
770 downloads
23 likesSpecifications
- Publisher
- dphn
- Family
- Phi
- Parameters
- 6.1B
- Architecture
- AfmoeForCausalLM
- Context Length
- 131,072 tokens
- Vocabulary Size
- 200,192
- Release Date
- 2026-05-29
- License
- Apache 2.0
Get Started
HuggingFace
How Much VRAM Does Dolphin X1 Trinity Nano Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q3_K_L | 4.10 | 3.5 GB | 10.9 GB | 3.14 GB | 3-bit large quantization |
| Q5_K_M | 5.70 | 4.8 GB | 12.2 GB | 4.36 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_K | 6.60 | 5.5 GB | 12.9 GB | 5.05 GB | 6-bit quantization, very good quality |
| Q8_0 | 8.00 | 6.5 GB | 13.9 GB | 6.12 GB | 8-bit quantization, near-lossless |
Which GPUs Can Run Dolphin X1 Trinity Nano?
Q5_K_M · 4.8 GBDolphin X1 Trinity Nano (Q5_K_M) requires 4.8 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 7+ GB is recommended. Using the full 131K context window can add up to 7.4 GB, bringing total usage to 12.2 GB. 35 GPUs can run it, including NVIDIA GeForce RTX 5090, NVIDIA GeForce RTX 3090 Ti.
Runs great
— Plenty of headroomWhich Devices Can Run Dolphin X1 Trinity Nano?
Q5_K_M · 4.8 GB33 devices with unified memory can run Dolphin X1 Trinity Nano, including NVIDIA DGX H100, NVIDIA DGX A100 640GB.
Runs great
— Plenty of headroomRelated Models
Frequently Asked Questions
- How much VRAM does Dolphin X1 Trinity Nano need?
Dolphin X1 Trinity Nano requires 3.5 GB of VRAM at Q3_K_L, or 6.5 GB at Q8_0. Full 131K context adds up to 7.4 GB (10.9 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 6.1B × 4.1 bits ÷ 8 = 3.1 GB
KV Cache + Overhead ≈ 0.4 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 7.9 GB (at full 131K context)
VRAM usage by quantization
Q3_K_L3.5 GBQ3_K_L + full context10.9 GB- What's the best quantization for Dolphin X1 Trinity Nano?
For Dolphin X1 Trinity Nano, Q6_K (5.5 GB) offers the best balance of quality and VRAM usage. Q8_0 (6.5 GB) provides better quality if you have the VRAM. The smallest option is Q3_K_L at 3.5 GB.
VRAM requirement by quantization
Q3_K_L3.5 GBQ5_K_M4.8 GBQ6_K ★5.5 GBQ8_06.5 GB★ Recommended — best balance of quality and VRAM usage.
- Can I run Dolphin X1 Trinity Nano on a Mac?
Dolphin X1 Trinity Nano requires at least 3.5 GB at Q3_K_L, 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 Dolphin X1 Trinity Nano locally?
Yes — Dolphin X1 Trinity Nano can run locally on consumer hardware. At Q3_K_L quantization it needs 3.5 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Dolphin X1 Trinity Nano?
At Q3_K_L, Dolphin X1 Trinity Nano can reach ~821 tok/s on AMD Instinct MI300X. On NVIDIA GeForce RTX 4090: ~185 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 ÷ 3.5 × 0.55 = ~821 tok/s
Estimated speed at Q3_K_L (3.5 GB)
~821 tok/s~185 tok/s~614 tok/s~508 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Dolphin X1 Trinity Nano?
At Q3_K_L, the download is about 3.14 GB. The full-precision Q8_0 version is 6.12 GB.
- Which GPUs can run Dolphin X1 Trinity Nano?
35 consumer GPUs can run Dolphin X1 Trinity Nano at Q3_K_L (3.5 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 Dolphin X1 Trinity Nano?
33 devices with unified memory can run Dolphin X1 Trinity Nano at Q3_K_L (3.5 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.