README.md

---
base_model: nomic-ai/nomic-embed-text-v2-moe
library_name: sentence-transformers
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- feature-extraction
- llama-cpp
- gguf-my-repo
license: apache-2.0
language:
- en
- es
- fr
- de
- it
- pt
- pl
- nl
- tr
- ja
- vi
- ru
- id
- ar
- cs
- ro
- sv
- el
- uk
- zh
- hu
- da
- 'no'
- hi
- fi
- bg
- ko
- sk
- th
- he
- ca
- lt
- fa
- ms
- sl
- lv
- mr
- bn
- sq
- cy
- be
- ml
- kn
- mk
- ur
- fy
- te
- eu
- sw
- so
- sd
- uz
- co
- hr
- gu
- ce
- eo
- jv
- la
- zu
- mn
- si
- ga
- ky
- tg
- my
- km
- mg
- pa
- sn
- ha
- ht
- su
- gd
- ny
- ps
- ku
- am
- ig
- lo
- mi
- nn
- sm
- yi
- st
- tl
- xh
- yo
- af
- ta
- tn
- ug
- az
- ba
- bs
- dv
- et
- gl
- gn
- gv
- hy
---

# benvezzani/nomic-embed-text-v2-moe-Q4_K_M-GGUF
This model was converted to GGUF format from [`nomic-ai/nomic-embed-text-v2-moe`](https://huggingface.co/nomic-ai/nomic-embed-text-v2-moe) 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/nomic-ai/nomic-embed-text-v2-moe) 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 benvezzani/nomic-embed-text-v2-moe-Q4_K_M-GGUF --hf-file nomic-embed-text-v2-moe-q4_k_m.gguf -p "The meaning to life and the universe is"
```

### Server:
```bash
llama-server --hf-repo benvezzani/nomic-embed-text-v2-moe-Q4_K_M-GGUF --hf-file nomic-embed-text-v2-moe-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 benvezzani/nomic-embed-text-v2-moe-Q4_K_M-GGUF --hf-file nomic-embed-text-v2-moe-q4_k_m.gguf -p "The meaning to life and the universe is"
```
or 
```
./llama-server --hf-repo benvezzani/nomic-embed-text-v2-moe-Q4_K_M-GGUF --hf-file nomic-embed-text-v2-moe-q4_k_m.gguf -c 2048
```