README.md

---
datasets:
- OpenCoder-LLM/opc-sft-stage1
- OpenCoder-LLM/opc-sft-stage2
- microsoft/orca-agentinstruct-1M-v1
- microsoft/orca-math-word-problems-200k
- NousResearch/hermes-function-calling-v1
- AI-MO/NuminaMath-CoT
- AI-MO/NuminaMath-TIR
- allenai/tulu-3-sft-mixture
- cognitivecomputations/dolphin-coder
- HuggingFaceTB/smoltalk
- cognitivecomputations/samantha-data
- m-a-p/CodeFeedback-Filtered-Instruction
- m-a-p/Code-Feedback
language:
- en
base_model: cognitivecomputations/Dolphin3.0-Mistral-24B
pipeline_tag: text-generation
library_name: transformers
tags:
- llama-cpp
- gguf-my-repo
---

# Triangle104/Dolphin3.0-Mistral-24B-Q8_0-GGUF
This model was converted to GGUF format from [`cognitivecomputations/Dolphin3.0-Mistral-24B`](https://huggingface.co/cognitivecomputations/Dolphin3.0-Mistral-24B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/cognitivecomputations/Dolphin3.0-Mistral-24B) for more details on the model.

---
What is Dolphin?
-



Dolphin 3.0 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.


Dolphin aims to be a general purpose 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



	
		
	

Recommended Temperature
-



Experimentally we note that Mistral-24B based models require a low 
temperature.  We have seen much better results in the range of 0.05 to 
0.1.

---
## Use with llama.cpp
Install llama.cpp through brew (works on Mac and Linux)

```bash
brew install llama.cpp

```
Invoke the llama.cpp server or the CLI.

### CLI:
```bash
llama-cli --hf-repo Triangle104/Dolphin3.0-Mistral-24B-Q8_0-GGUF --hf-file dolphin3.0-mistral-24b-q8_0.gguf -p "The meaning to life and the universe is"
```

### Server:
```bash
llama-server --hf-repo Triangle104/Dolphin3.0-Mistral-24B-Q8_0-GGUF --hf-file dolphin3.0-mistral-24b-q8_0.gguf -c 2048
```

Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) 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-Mistral-24B-Q8_0-GGUF --hf-file dolphin3.0-mistral-24b-q8_0.gguf -p "The meaning to life and the universe is"
```
or 
```
./llama-server --hf-repo Triangle104/Dolphin3.0-Mistral-24B-Q8_0-GGUF --hf-file dolphin3.0-mistral-24b-q8_0.gguf -c 2048
```