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README.md

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+---
+license: mit
+language:
+- en
+- zh
+tags:
+- mteb
+- llama-cpp
+- gguf-my-repo
+pipeline_tag: feature-extraction
+base_model: BAAI/bge-reranker-large
+model-index:
+- name: bge-reranker-base
+  results:
+  - task:
+      type: Reranking
+    dataset:
+      name: MTEB CMedQAv1
+      type: C-MTEB/CMedQAv1-reranking
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map
+      value: 81.27206722525007
+    - type: mrr
+      value: 84.14238095238095
+  - task:
+      type: Reranking
+    dataset:
+      name: MTEB CMedQAv2
+      type: C-MTEB/CMedQAv2-reranking
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map
+      value: 84.10369934291236
+    - type: mrr
+      value: 86.79376984126984
+  - task:
+      type: Reranking
+    dataset:
+      name: MTEB MMarcoReranking
+      type: C-MTEB/Mmarco-reranking
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map
+      value: 35.4600511272538
+    - type: mrr
+      value: 34.60238095238095
+  - task:
+      type: Reranking
+    dataset:
+      name: MTEB T2Reranking
+      type: C-MTEB/T2Reranking
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map
+      value: 67.27728847727172
+    - type: mrr
+      value: 77.1315192743764
+---
+
+# nishparadox/bge-reranker-large-Q4_K_M-GGUF
+This model was converted to GGUF format from [`BAAI/bge-reranker-large`](https://huggingface.co/BAAI/bge-reranker-large) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
+Refer to the [original model card](https://huggingface.co/BAAI/bge-reranker-large) for more details on the model.
+
+## Use with llama.cpp
+Install llama.cpp through brew (works on Mac and Linux)
+
+```bash
+brew install llama.cpp
+
+```
+Invoke the llama.cpp server or the CLI.
+
+### CLI:
+```bash
+llama-cli --hf-repo nishparadox/bge-reranker-large-Q4_K_M-GGUF --hf-file bge-reranker-large-q4_k_m.gguf -p "The meaning to life and the universe is"
+```
+
+### Server:
+```bash
+llama-server --hf-repo nishparadox/bge-reranker-large-Q4_K_M-GGUF --hf-file bge-reranker-large-q4_k_m.gguf -c 2048
+```
+
+Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) 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 nishparadox/bge-reranker-large-Q4_K_M-GGUF --hf-file bge-reranker-large-q4_k_m.gguf -p "The meaning to life and the universe is"
+```
+or 
+```
+./llama-server --hf-repo nishparadox/bge-reranker-large-Q4_K_M-GGUF --hf-file bge-reranker-large-q4_k_m.gguf -c 2048
+```