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 using llama.cpp via the ggml.ai's GGUF-my-repo space.
Refer to the original model card for more details on the model.
cONVERT sAFETENSORS TO gguf .
https://huggingface.co/spaces/ggml-org/gguf-my-repo .
.
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 --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:
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 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