Edit model card

sabafallah/all-MiniLM-L12-v2-Q8_0-GGUF

This model was converted to GGUF format from sentence-transformers/all-MiniLM-L12-v2 using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

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-cli --hf-repo sabafallah/all-MiniLM-L12-v2-Q8_0-GGUF --hf-file all-minilm-l12-v2-q8_0.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo sabafallah/all-MiniLM-L12-v2-Q8_0-GGUF --hf-file all-minilm-l12-v2-q8_0.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 sabafallah/all-MiniLM-L12-v2-Q8_0-GGUF --hf-file all-minilm-l12-v2-q8_0.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo sabafallah/all-MiniLM-L12-v2-Q8_0-GGUF --hf-file all-minilm-l12-v2-q8_0.gguf -c 2048
Downloads last month
14
GGUF
Model size
33.2M params
Architecture
bert

8-bit

Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for sabafallah/all-MiniLM-L12-v2-Q8_0-GGUF

Quantized
(6)
this model

Datasets used to train sabafallah/all-MiniLM-L12-v2-Q8_0-GGUF