---
title: multilingual-e5-large-Q4_K_M-GGUF
canonical_url: "https://www.modelscope.cn/models/LLM-Research/multilingual-e5-large-Q4_K_M-GGUF"
md_url: "https://www.modelscope.cn/models/LLM-Research/multilingual-e5-large-Q4_K_M-GGUF.md"
repository: LLM-Research/multilingual-e5-large-Q4_K_M-GGUF
last_updated: 2024-09-10
license: mit
pipeline_tag: feature-extraction
tasks:
  - feature-extraction
library_name:
  - sentence-transformers
  - gguf
  - pytorch
frameworks:
  - pytorch
language:
  - multilingual
  - af
  - am
  - ar
  - as
  - az
  - be
  - bg
  - bn
  - br
  - bs
  - ca
  - cs
  - cy
  - da
  - de
  - el
  - en
  - eo
  - es
  - et
  - eu
  - fa
  - fi
  - fr
  - fy
  - ga
  - gd
  - gl
  - gu
  - ha
  - he
  - hi
  - hr
  - hu
  - hy
  - id
  - is
  - it
  - ja
  - jv
  - ka
  - kk
  - km
  - kn
  - ko
  - ku
  - ky
  - la
  - lo
  - lt
  - lv
  - mg
  - mk
  - ml
  - mn
  - mr
  - ms
  - my
  - ne
  - nl
  - no
  - om
  - or
  - pa
  - pl
  - ps
  - pt
  - ro
  - ru
  - sa
  - sd
  - si
  - sk
  - sl
  - so
  - sq
  - sr
  - su
  - sv
  - sw
  - ta
  - te
  - th
  - tl
  - tr
  - ug
  - uk
  - ur
  - uz
  - vi
  - xh
  - yi
  - zh
downloads: 2177
stars: 0
tags:
  - mteb
  - "Sentence Transformers"
  - sentence-similarity
  - feature-extraction
  - sentence-transformers
  - llama-cpp
  - gguf-my-repo
  - gguf
---

# multilingual-e5-large-Q4_K_M-GGUF

> multilingual-e5-large-Q4_K_M-GGUF - LLM-Research 在 ModelScope 开源的模型。pruizpar/multilingual-e5-large-Q4KM-GGUF This model was converted to GGUF format from intfloat/multilingual-e5-large using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the…

LLM-Research/multilingual-e5-large-Q4_K_M-GGUF 是 ModelScope 魔搭社区上的feature-extraction模型，采用 mit 许可。

- **Repository**: LLM-Research/multilingual-e5-large-Q4_K_M-GGUF
- **License**: mit
- **Tasks**: feature-extraction
- **Tags**: mteb, Sentence Transformers, sentence-similarity, feature-extraction, sentence-transformers, llama-cpp, gguf-my-repo, gguf
- **Downloads**: 2177
- **Stars**: 0
- **Last updated**: 2024-09-10

Source: https://www.modelscope.cn/models/LLM-Research/multilingual-e5-large-Q4_K_M-GGUF

---

# pruizpar/multilingual-e5-large-Q4_K_M-GGUF
This model was converted to GGUF format from [`intfloat/multilingual-e5-large`](https://huggingface.co/intfloat/multilingual-e5-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/intfloat/multilingual-e5-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 pruizpar/multilingual-e5-large-Q4_K_M-GGUF --hf-file multilingual-e5-large-q4_k_m.gguf -p "The meaning to life and the universe is"
```

### Server:
```bash
llama-server --hf-repo pruizpar/multilingual-e5-large-Q4_K_M-GGUF --hf-file multilingual-e5-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 pruizpar/multilingual-e5-large-Q4_K_M-GGUF --hf-file multilingual-e5-large-q4_k_m.gguf -p "The meaning to life and the universe is"
```
or 
```
./llama-server --hf-repo pruizpar/multilingual-e5-large-Q4_K_M-GGUF --hf-file multilingual-e5-large-q4_k_m.gguf -c 2048
```