Triangle104/Dolphin3.0-R1-Mistral-24B-Q3_K_M-GGUF

This model was converted to GGUF format from cognitivecomputations/Dolphin3.0-R1-Mistral-24B using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

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Sponsors Our appreciation for the generous sponsors of Dolphin 3.0:

Dria https://x.com/driaforall - Inference Sponsor Chutes https://x.com/rayon_labs - Compute Sponsor Crusoe Cloud - Compute Sponsor Andreessen Horowitz - provided the grant that originally launched Dolphin What is Dolphin? Dolphin 3.0 R1 is the next generation of the Dolphin series of instruct-tuned models. Designed to be the ultimate general purpose local model, enabling coding, math, agentic, function calling, and general use cases.

The R1 version has been trained for 3 epochs to reason using 800k reasoning traces from the Dolphin-R1 dataset.

Dolphin aims to be a general purpose reasoning instruct model, similar to the models behind ChatGPT, Claude, Gemini. But these models present problems for businesses seeking to include AI in their products.

They maintain control of the system prompt, deprecating and changing things as they wish, often causing software to break. They maintain control of the model versions, sometimes changing things silently, or deprecating older models that your business relies on. They maintain control of the alignment, and in particular the alignment is one-size-fits all, not tailored to the application. They can see all your queries and they can potentially use that data in ways you wouldn't want. Dolphin, in contrast, is steerable and gives control to the system owner. You set the system prompt. You decide the alignment. You have control of your data. Dolphin does not impose its ethics or guidelines on you. You are the one who decides the guidelines. Dolphin belongs to YOU, it is your tool, an extension of your will. Just as you are personally responsible for what you do with a knife, gun, fire, car, or the internet, you are the creator and originator of any content you generate with Dolphin.

https://erichartford.com/uncensored-models

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Use with llama.cpp

Install llama.cpp through brew (works on Mac and Linux)

brew install llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo Triangle104/Dolphin3.0-R1-Mistral-24B-Q3_K_M-GGUF --hf-file dolphin3.0-r1-mistral-24b-q3_k_m.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Triangle104/Dolphin3.0-R1-Mistral-24B-Q3_K_M-GGUF --hf-file dolphin3.0-r1-mistral-24b-q3_k_m.gguf -c 2048

Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.

Step 1: Clone llama.cpp from GitHub.

git clone https://github.com/ggerganov/llama.cpp

Step 2: Move into the llama.cpp folder and build it with LLAMA_CURL=1 flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).

cd llama.cpp && LLAMA_CURL=1 make

Step 3: Run inference through the main binary.

./llama-cli --hf-repo Triangle104/Dolphin3.0-R1-Mistral-24B-Q3_K_M-GGUF --hf-file dolphin3.0-r1-mistral-24b-q3_k_m.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo Triangle104/Dolphin3.0-R1-Mistral-24B-Q3_K_M-GGUF --hf-file dolphin3.0-r1-mistral-24b-q3_k_m.gguf -c 2048