Quantized African-ultrachat-alpaca-Q5_K_M-GGUF
This model was converted to GGUF format from masakhane/African-ultrachat-alpaca
using llama.cpp via the ggml.ai's GGUF-my-repo space.
Refer to the original model card for more details on the model.
Infererence : Token Speed: 13.72t/s
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 Svngoku/African-ultrachat-alpaca-Q5_K_M-GGUF --hf-file african-ultrachat-alpaca-q5_k_m.gguf -p "The meaning to life and the universe is"
Server:
llama-server --hf-repo Svngoku/African-ultrachat-alpaca-Q5_K_M-GGUF --hf-file african-ultrachat-alpaca-q5_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 Svngoku/African-ultrachat-alpaca-Q5_K_M-GGUF --hf-file african-ultrachat-alpaca-q5_k_m.gguf -p "The meaning to life and the universe is"
or
./server --hf-repo Svngoku/African-ultrachat-alpaca-Q5_K_M-GGUF --hf-file african-ultrachat-alpaca-q5_k_m.gguf -c 2048
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