ONNX
Safetensors
GGUF
GLiNER2
antfly-inference
extractor
deberta
named-entity-recognition
zero-shot
relation-extraction
structured-extraction
antfly
How to use from
llama.cppInstall from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf antflydb/gliner2-base-v1# Run inference directly in the terminal:
llama cli -hf antflydb/gliner2-base-v1Build from source code
git clone https://github.com/ggml-org/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-app# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama serve -hf antflydb/gliner2-base-v1# Run inference directly in the terminal:
./build/bin/llama cli -hf antflydb/gliner2-base-v1Use Docker
docker model run hf.co/antflydb/gliner2-base-v1Quick Links
antflydb/gliner2-base-v1
Antfly GLiNER2 base bundle with a ClipClap-style flat variants layout.
The gguf-Q4_K variant is a split native bundle:
gliner2-encoder.Q4_K.ggufgliner2-head.Q4_K.gguf
The repo also includes:
model.onnx, copied fromlion-ai/gliner2-base-v1-onnxmodel.safetensors, copied fromfastino/gliner2-base-v1- tokenizer and GLiNER2 sidecars from the upstream/base bundle
Antfly Inference reads antfly_inference_variants.json and resolves complete encoder/head
pairs as gliner2_split_bundle/v1 at load time.
How to Use with Antfly Inference
antfly inference pull antflydb/gliner2-base-v1:gguf:Q4_K
antfly inference run
Advertised Antfly Inference tasks:
recognizeextractclassify
Relation extraction is advertised as a capability and is driven through the extraction schema.
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Model tree for antflydb/gliner2-base-v1
Base model
fastino/gliner2-base-v1
Install (macOS, Linux)
# Start a local OpenAI-compatible server with a web UI: llama serve -hf antflydb/gliner2-base-v1# Run inference directly in the terminal: llama cli -hf antflydb/gliner2-base-v1