Downloads · 30 days
51
22% of all-time downloads
NexesQuants/Phi-3.5-mini-instruct-GGUF
Phi-3.5-mini-instruct-GGUF is a text generation model from NexesQuants. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.
This model was converted to GGUF format from microsoft/Phi-3.5-mini-instruct using croco.cpp's fork Croco.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
51
22% of all-time downloads
All-time downloads
235
Public
Repo size
11.7 GB
Likes
0
Public
Click a slice to open those files.
.gguf11.7 GB · 100%
From the Hugging Face model README
This model was converted to GGUF format from microsoft/Phi-3.5-mini-instruct using croco.cpp's fork Croco.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 Nexesenex/Phi-3.5-mini-instruct-GGUF --hf-file phi-3.5-mini-instruct-bf16.gguf -p "The meaning to life and the universe is"
llama-server --hf-repo Nexesenex/Phi-3.5-mini-instruct-GGUF --hf-file phi-3.5-mini-instruct-bf16.gguf -c 2048
Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well. -> necessary to use Croco.
Step 1: Clone llama.cpp from GitHub. -> necessary to use Croco.
git clone https://github.com/Nexesenex/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 Nexesenex/Phi-3.5-mini-instruct-GGUF --hf-file phi-3.5-mini-instruct-bf16.gguf -p "The meaning to life and the universe is"
or
./llama-server --hf-repo Nexesenex/Phi-3.5-mini-instruct-GGUF --hf-file phi-3.5-mini-instruct-bf16.gguf -c 2048