---
library_name: transformers
license: apache-2.0
language:
- en
- zh
- es
- de
- ar
- ru
- ja
- ko
- hi
- sk
- vi
- tr
- fi
- id
- fa
- 'no'
- th
- sv
- pt
- da
- bn
- te
- ro
- it
- fr
- nl
- sw
- pl
- hu
- cs
- el
- uk
- mr
- ta
- tl
- bg
- lt
- ur
- he
- gu
- kn
- am
- kk
- hr
- uz
- jv
- ca
- az
- ms
- sr
- sl
- yo
- lv
- is
- ha
- ka
- et
- bs
- hy
- ml
- pa
- mt
- km
- sq
- or
- as
- my
- mn
- af
- be
- ga
- mk
- cy
- gl
- ceb
- la
- yi
- lb
- tg
- gd
- ne
- ps
- eu
- ky
- ku
- si
- ht
- eo
- lo
- fy
- sd
- mg
- so
- ckb
- su
- nn
datasets:
- lightblue/reranker_continuous_filt_max7_train
base_model: lightblue/lb-reranker-0.5B-v1.0
pipeline_tag: text-generation
tags:
- reranker
- llama-cpp
- gguf-my-repo
---

# NikolayKozloff/lb-reranker-0.5B-v1.0-Q8_0-GGUF
This model was converted to GGUF format from [`lightblue/lb-reranker-0.5B-v1.0`](https://huggingface.co/lightblue/lb-reranker-0.5B-v1.0) 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/lightblue/lb-reranker-0.5B-v1.0) 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 NikolayKozloff/lb-reranker-0.5B-v1.0-Q8_0-GGUF --hf-file lb-reranker-0.5b-v1.0-q8_0.gguf -p "The meaning to life and the universe is"
```

### Server:
```bash
llama-server --hf-repo NikolayKozloff/lb-reranker-0.5B-v1.0-Q8_0-GGUF --hf-file lb-reranker-0.5b-v1.0-q8_0.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 NikolayKozloff/lb-reranker-0.5B-v1.0-Q8_0-GGUF --hf-file lb-reranker-0.5b-v1.0-q8_0.gguf -p "The meaning to life and the universe is"
```
or 
```
./llama-server --hf-repo NikolayKozloff/lb-reranker-0.5B-v1.0-Q8_0-GGUF --hf-file lb-reranker-0.5b-v1.0-q8_0.gguf -c 2048
```