cstr / bge-reranker-v2-m3-GGUF

huggingface.co
Total runs: 677
24-hour runs: 2
7-day runs: 6
30-day runs: -19
Model's Last Updated: August 05 2026
feature-extraction

Introduction of bge-reranker-v2-m3-GGUF

Model Details of bge-reranker-v2-m3-GGUF

bge-reranker-v2-m3 GGUF

GGUF format of BAAI/bge-reranker-v2-m3 for use with CrispEmbed .

BGE Reranker v2 M3. Multilingual cross-encoder reranker (100+ languages). 2-layer classification head. Use with crispembed_rerank().

Files
File Quantization Size
bge-reranker-v2-m3-q8_0.gguf Q8_0 582 MB
bge-reranker-v2-m3.gguf F32 2171 MB
Quick Start
# Download
huggingface-cli download cstr/bge-reranker-v2-m3-GGUF bge-reranker-v2-m3-q8_0.gguf --local-dir .

# Run with CrispEmbed
./crispembed -m bge-reranker-v2-m3-q8_0.gguf "Hello world"

# Or with auto-download
./crispembed -m bge-reranker-v2-m3 "Hello world"
Model Details
Property Value
Architecture XLM-RoBERTa
Parameters 568M
Embedding Dimension 1024
Layers 24
Pooling CLS
Tokenizer SentencePiece
Base Model BAAI/bge-reranker-v2-m3
Verification

Verified bit-identical to HuggingFace sentence-transformers (cosine similarity >= 0.999 on test texts).

Usage with CrispEmbed

CrispEmbed is a lightweight C/C++ text embedding inference engine using ggml. No Python runtime, no ONNX. Supports BERT, XLM-R, Qwen3, and Gemma3 architectures.

# Build CrispEmbed
git clone https://github.com/CrispStrobe/CrispEmbed
cd CrispEmbed
cmake -S . -B build && cmake --build build -j

# Encode
./build/crispembed -m bge-reranker-v2-m3-q8_0.gguf "query text"

# Server mode
./build/crispembed-server -m bge-reranker-v2-m3-q8_0.gguf --port 8080
curl -X POST http://localhost:8080/v1/embeddings \
    -d '{"input": ["Hello world"], "model": "bge-reranker-v2-m3"}'
Credits

Runs of cstr bge-reranker-v2-m3-GGUF on huggingface.co

677
Total runs
2
24-hour runs
37
3-day runs
6
7-day runs
-19
30-day runs

More Information About bge-reranker-v2-m3-GGUF huggingface.co Model

More bge-reranker-v2-m3-GGUF license Visit here:

https://choosealicense.com/licenses/apache-2.0

bge-reranker-v2-m3-GGUF huggingface.co

bge-reranker-v2-m3-GGUF huggingface.co is an AI model on huggingface.co that provides bge-reranker-v2-m3-GGUF's model effect (), which can be used instantly with this cstr bge-reranker-v2-m3-GGUF model. huggingface.co supports a free trial of the bge-reranker-v2-m3-GGUF model, and also provides paid use of the bge-reranker-v2-m3-GGUF. Support call bge-reranker-v2-m3-GGUF model through api, including Node.js, Python, http.

bge-reranker-v2-m3-GGUF huggingface.co Url

https://huggingface.co/cstr/bge-reranker-v2-m3-GGUF

cstr bge-reranker-v2-m3-GGUF online free

bge-reranker-v2-m3-GGUF huggingface.co is an online trial and call api platform, which integrates bge-reranker-v2-m3-GGUF's modeling effects, including api services, and provides a free online trial of bge-reranker-v2-m3-GGUF, you can try bge-reranker-v2-m3-GGUF online for free by clicking the link below.

cstr bge-reranker-v2-m3-GGUF online free url in huggingface.co:

https://huggingface.co/cstr/bge-reranker-v2-m3-GGUF

bge-reranker-v2-m3-GGUF install

bge-reranker-v2-m3-GGUF is an open source model from GitHub that offers a free installation service, and any user can find bge-reranker-v2-m3-GGUF on GitHub to install. At the same time, huggingface.co provides the effect of bge-reranker-v2-m3-GGUF install, users can directly use bge-reranker-v2-m3-GGUF installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

bge-reranker-v2-m3-GGUF install url in huggingface.co:

https://huggingface.co/cstr/bge-reranker-v2-m3-GGUF

Url of bge-reranker-v2-m3-GGUF

bge-reranker-v2-m3-GGUF huggingface.co Url

Provider of bge-reranker-v2-m3-GGUF huggingface.co

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