Dolphin3.0-R1-Mistral-24B
A 23.6B model tuned to reason step by step before answering. View on Hugging Face.
What Dolphin3.0-R1-Mistral-24B is
Dolphin3.0-R1-Mistral-24B is a 23.6B-parameter language model published by Cognitive Computations (Dolphin) on Hugging Face. It works through a problem step by step before answering, rather than responding directly. It is released under Not stated.
License note: no license tag published on the model's Hugging Face card; check the repo directly before any commercial use. Facts on this page are sourced from Dolphin3.0-R1-Mistral-24B's Hugging Face model card, not benchmarked by Aquanode.
What it's used for
- Multi-step reasoning and math
- Code generation
- Agentic tool use
Deploy Dolphin3.0-R1-Mistral-24B
Needs 1× A100 at its published (BF16) precision. Aquanode doesn't run a hosted inference API for Dolphin3.0-R1-Mistral-24B. Spin up a GPU pod sized for it below and install your own inference stack (vLLM, SGLang, TGI, llama.cpp, Ollama, or whatever you prefer) on it.
Set up a podFull deploy guide: vLLM/Ollama commands & hardware sizingFull VRAM breakdown & live GPU fitCheapest current fit at Dolphin3.0-R1-Mistral-24B's published (BF16) precision: 1× A100, at $1.00/hr per GPU ($1.00/hr total). See the full precision table for FP8/INT4 alternatives.
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