Downloads · 30 days
20
5% of all-time downloads
SteelTalon/nephra_v1.0-Q4_K_M-GGUF
nephra_v1.0-Q4_K_M-GGUF is a machine learning model from SteelTalon. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as llama3.
This model was converted to GGUF format from yodayo-ai/nephrav1.0 using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.
Downloads · 30 days
20
5% of all-time downloads
All-time downloads
406
Public
Repo size
4.9 GB
Likes
2
Public
Click a slice to open those files.
.gguf4.9 GB · 100%
From the Hugging Face model README
This model was converted to GGUF format from yodayo-ai/nephra_v1.0 using llama.cpp via the ggml.ai's GGUF-my-repo space.
Refer to the original model card for more details on the model.
Install llama.cpp through brew (works on Mac and Linux)
brew install llama.cpp
Invoke the llama.cpp server or the CLI.
llama-cli --hf-repo SteelTalon/nephra_v1.0-Q4_K_M-GGUF --hf-file nephra_v1.0-q4_k_m.gguf -p "The meaning to life and the universe is"
llama-server --hf-repo SteelTalon/nephra_v1.0-Q4_K_M-GGUF --hf-file nephra_v1.0-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.
./llama-cli --hf-repo SteelTalon/nephra_v1.0-Q4_K_M-GGUF --hf-file nephra_v1.0-q4_k_m.gguf -p "The meaning to life and the universe is"
or
./llama-server --hf-repo SteelTalon/nephra_v1.0-Q4_K_M-GGUF --hf-file nephra_v1.0-q4_k_m.gguf -c 2048