SAVRN Model Hub · Abliterated-Dolphin3.0-R1-Mistral-24B
Abliterated-Dolphin3.0-R1-Mistral-24B GPU Requirements
Abliterated-Dolphin3.0-R1-Mistral-24B needs about 56.6 GB of GPU memory at 16-bit, 28.3 GB at 8-bit and 14.1 GB at 4-bit: its 23.6B parameters plus a 20% working margin. The cheapest setup at 16-bit is 1x MI300X from $1.85 an hour, about $1,350 a month around the clock. Every one of the 9 accelerators the SAVRN Index prices holds it on one card at 16-bit.
Every Accelerator, Every Precision
How many cards of each accelerator the SAVRN Index prices it takes to hold Abliterated-Dolphin3.0-R1-Mistral-24B, and what that many cards cost an hour at the lowest listed on-demand price. Memory needed: 56.6 GB at 16-bit, 28.3 GB at 8-bit, 14.1 GB at 4-bit.
| Accelerator | Memory per card | Lowest price per card | 16-bit | 8-bit | 4-bit |
|---|---|---|---|---|---|
| H100 Voltage Park |
80 GB | $1.99 | 1 card $1.99/hr |
1 card $1.99/hr |
1 card $1.99/hr |
| H200 GMI Cloud |
141 GB | $2.60 | 1 card $2.60/hr |
1 card $2.60/hr |
1 card $2.60/hr |
| B200 Vultr |
180 GB | $3.50 | 1 card $3.50/hr |
1 card $3.50/hr |
1 card $3.50/hr |
| GB200 NVL72 GMI Cloud |
186 GB | $8.00 | 1 card $8.00/hr |
1 card $8.00/hr |
1 card $8.00/hr |
| MI300X Vultr |
192 GB | $1.85 | 1 card $1.85/hr |
1 card $1.85/hr |
1 card $1.85/hr |
| MI325X Vultr |
256 GB | $2.00 | 1 card $2.00/hr |
1 card $2.00/hr |
1 card $2.00/hr |
| B300 Massed Compute |
268 GB | $6.60 | 1 card $6.60/hr |
1 card $6.60/hr |
1 card $6.60/hr |
| GB300 NVL72 Verda |
279 GB | $10.32 | 1 card $10.32/hr |
1 card $10.32/hr |
1 card $10.32/hr |
| MI355X Vultr |
288 GB | $2.59 | 1 card $2.59/hr |
1 card $2.59/hr |
1 card $2.59/hr |
Running It Around the Clock
| Precision | Cheapest setup | Per hour | Per month (730 hours) |
|---|---|---|---|
| 16-bit | 1x MI300X (Vultr) | $1.85 | $1,350 |
| 8-bit | 1x MI300X (Vultr) | $1.85 | $1,350 |
| 4-bit | 1x MI300X (Vultr) | $1.85 | $1,350 |
One copy of the model on rented cards, busy or idle. Serving more users at once takes more copies or more memory for their contexts.
Memory at Longer Context
Every token in a sequence keeps a key and a value in every layer. From Abliterated-Dolphin3.0-R1-Mistral-24B's published configuration, that cache adds this much at 16-bit for one sequence:
| Context | Key/value cache | Total with weights | Cheapest setup |
|---|---|---|---|
| 4,096 tokens | 0.7 GB | 57.3 GB | 1x MI300X $1.85/hr |
| 32,768 tokens (full) | 5.4 GB | 62 GB | 1x MI300X $1.85/hr |
An estimate from layers, key/value heads and head size, assuming full attention in every layer. Runtimes that quantize or page the cache use less.
Questions
How much VRAM does Abliterated-Dolphin3.0-R1-Mistral-24B need?
About 56.6 GB at 16-bit; about 28.3 GB at 8-bit; about 14.1 GB at 4-bit: the weights plus 20% for the runtime and a short context. A long context needs more.
What is the cheapest GPU setup to run Abliterated-Dolphin3.0-R1-Mistral-24B?
At 16-bit, 1x MI300X from $1.85 an hour, at the lowest on-demand price the SAVRN Index lists.
Can Abliterated-Dolphin3.0-R1-Mistral-24B run on a single H100?
Yes at 16-bit, 8-bit, 4-bit: an H100 has 80 GB and Abliterated-Dolphin3.0-R1-Mistral-24B needs 56.6 GB at 16-bit.
How much memory does Abliterated-Dolphin3.0-R1-Mistral-24B need at its full context length?
About 62 GB at 16-bit for one 32,768-token sequence: 56.6 GB for the weights and margin plus 5.4 GB of key/value cache, estimated from its published configuration.
Memory is the weights at that precision plus 20% for the runtime and a short context. Prices are the lowest on-demand hourly rates in the SAVRN Index, read Oct 7, 2026. Setups beyond eight cards, one server, are not listed.