What GPU do I need to run dphn/Dolphin3.0-R1-Mistral-24B?
23.6B parameters, published in BF16. View on Hugging Face Full specs & deploy guide
Set up Dolphin3.0-R1-Mistral-24BDolphin3.0-R1-Mistral-24B is published by dphn on Hugging Face, with 1,098 downloads and 228 likes to date. It's a MistralForCausalLM model built for text-generation, published natively in BF16.
VRAM required & cheapest live GPU fit
Required VRAM = weight size at each precision, plus a fixed overhead for KV-cache, activations, and fragmentation. Full formula and assumptions: methodology.
| Precision | Weight size | Required VRAM | Cheapest live fit | GPUs needed | Est. $/hr (full fit) |
|---|---|---|---|---|---|
| BF16 | 43.9 GB | 52.7 GB | A100 | 1 | $0.851/hr |
| cheaper alt. | RTX 3090 | 3 | $0.441/hr | ||
| FP8 (quantized) | 22.0 GB | 26.3 GB | RTX 4080 Super | 1 | $0.383/hr |
| cheaper alt. | RTX 4080 | 2 | $0.315/hr | ||
| INT4 (quantized) | 11.0 GB | 13.2 GB | RTX A4000 | 1 | $0.113/hr |
A GPU is only matched to a row if its hardware supports that precision, and the primary recommendation is always a single-GPU fit when one exists.
INT4 requires a quantized checkpoint actually published for this model, check its Hugging Face page before relying on this row.
Cheapest way to run Dolphin3.0-R1-Mistral-24B at its published (BF16) precision: 1× A100, at $0.851/hr per GPU ($0.851/hr total). Quantizing to FP8 or INT4 (rows above) can cost less, but requires a compatible quantized checkpoint to exist for this model.
Dolphin3.0-R1-Mistral-24B: common questions
Can Dolphin3.0-R1-Mistral-24B run on a single GPU?
Yes, but not on a desktop card. At BF16 it needs 52.7 GB of VRAM, more than a single 32 GB desktop card holds. The cheapest live single-card fit is a 80.0 GB A100 at $0.851/hr.
What is the least VRAM Dolphin3.0-R1-Mistral-24B can run in?
13.2 GB, at INT4 (quantized), which fits a 16 GB card, against 52.7 GB at BF16. That row assumes an INT4 checkpoint has actually been published for this model, so check its Hugging Face page before planning around it.
Does quantizing Dolphin3.0-R1-Mistral-24B lower the GPU bill?
Yes. At BF16 the cheapest live fit is one A100 at $0.851/hr. At INT4 (quantized) it drops to one RTX A4000 at $0.113/hr, provided a quantized checkpoint exists for it.
Weight-to-VRAM math, the fit rules, and how live prices are normalized: full methodology.
More dphn models
- dolphin-2.9.1-yi-1.5-34b (34.4B, BF16)
- Dolphin-Mistral-24B-Venice-Edition (24.0B, BF16)
- bert-base-uncased (110M, F32)
- Qwen3-0.6B (752M, BF16)
- gpt2 (137M, F32)
- Qwen3-8B (8.2B, BF16)
