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---
license: apache-2.0
tags:
- moe
- frankenmoe
- merge
- mergekit
- lazymergekit
- cognitivecomputations/TinyDolphin-2.8.1-1.1b
- llama-cpp
- gguf-my-repo
base_model: jtatman/TinyDolphin-3x-MoE
---
# v8karlo/TinyDolphin-3x-MoE-Q4_K_M-GGUF
This model was converted to GGUF format from [`jtatman/TinyDolphin-3x-MoE`](https://huggingface.co/jtatman/TinyDolphin-3x-MoE) 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/jtatman/TinyDolphin-3x-MoE) for more details on the model.
cONVERT sAFETENSORS TO gguf .
https://huggingface.co/spaces/ggml-org/gguf-my-repo .
![image/png](https://cdn-uploads.huggingface.co/production/uploads/662c3116277765660783ca6d/fV0zgvlVGXq7yoT2h_TAO.png) .
## 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 --hf-repo v8karlo/TinyDolphin-3x-MoE-Q4_K_M-GGUF --hf-file tinydolphin-3x-moe-q4_k_m.gguf -p "The meaning to life and the universe is"
```
### Server:
```bash
llama-server --hf-repo v8karlo/TinyDolphin-3x-MoE-Q4_K_M-GGUF --hf-file tinydolphin-3x-moe-q4_k_m.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.
```
./main --hf-repo v8karlo/TinyDolphin-3x-MoE-Q4_K_M-GGUF --hf-file tinydolphin-3x-moe-q4_k_m.gguf -p "The meaning to life and the universe is"
```
or
```
./server --hf-repo v8karlo/TinyDolphin-3x-MoE-Q4_K_M-GGUF --hf-file tinydolphin-3x-moe-q4_k_m.gguf -c 2048
```