6san/Ops-MoA-Yuan-embedding-1.0-Q8_0-GGUF
This model was converted to GGUF format from OpenSearch-AI/Ops-MoA-Yuan-embedding-1.0
using llama.cpp via the ggml.ai's GGUF-my-repo space.
Refer to the original model card for more details on the model.
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 6san/Ops-MoA-Yuan-embedding-1.0-Q8_0-GGUF --hf-file ops-moa-yuan-embedding-1.0-q8_0.gguf -p "The meaning to life and the universe is"
Server:
llama-server --hf-repo 6san/Ops-MoA-Yuan-embedding-1.0-Q8_0-GGUF --hf-file ops-moa-yuan-embedding-1.0-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 6san/Ops-MoA-Yuan-embedding-1.0-Q8_0-GGUF --hf-file ops-moa-yuan-embedding-1.0-q8_0.gguf -p "The meaning to life and the universe is"
or
./llama-server --hf-repo 6san/Ops-MoA-Yuan-embedding-1.0-Q8_0-GGUF --hf-file ops-moa-yuan-embedding-1.0-q8_0.gguf -c 2048
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Evaluation results
- ndcg_at_10 on MTEB CmedqaRetrievalself-reported51.461
- ndcg_at_10 on MTEB CovidRetrievalself-reported93.200
- ndcg_at_10 on MTEB DuRetrievalself-reported89.840
- ndcg_at_10 on MTEB EcomRetrievalself-reported71.084
- ndcg_at_10 on MTEB MMarcoRetrievalself-reported82.430
- ndcg_at_10 on MTEB MedicalRetrievalself-reported74.848
- ndcg_at_10 on MTEB T2Retrievalself-reported85.784
- ndcg_at_10 on MTEB VideoRetrievalself-reported79.513