Sentence Similarity
sentence-transformers
GGUF
Transformers
English
feature-extraction
llama-cpp
gguf-my-repo
Inference Endpoints
Edit model card

Jarbas/all-MiniLM-L6-v2-Q4_K_M-GGUF

This model was converted to GGUF format from sentence-transformers/all-MiniLM-L6-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 --hf-repo Jarbas/all-MiniLM-L6-v2-Q4_K_M-GGUF --hf-file all-minilm-l6-v2-q4_k_m.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Jarbas/all-MiniLM-L6-v2-Q4_K_M-GGUF --hf-file all-minilm-l6-v2-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 Jarbas/all-MiniLM-L6-v2-Q4_K_M-GGUF --hf-file all-minilm-l6-v2-q4_k_m.gguf -p "The meaning to life and the universe is"

or

./server --hf-repo Jarbas/all-MiniLM-L6-v2-Q4_K_M-GGUF --hf-file all-minilm-l6-v2-q4_k_m.gguf -c 2048
Downloads last month
28
GGUF
Model size
22.6M params
Architecture
bert

Quantized from

Datasets used to train Jarbas/all-MiniLM-L6-v2-Q4_K_M-GGUF