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---
tags:
- summarization
- mT5
- llama-cpp
- gguf-my-repo
datasets:
- csebuetnlp/xlsum
language:
- am
- ar
- az
- bn
- my
- zh
- en
- fr
- gu
- ha
- hi
- ig
- id
- ja
- rn
- ko
- ky
- mr
- ne
- om
- ps
- fa
- pcm
- pt
- pa
- ru
- gd
- sr
- si
- so
- es
- sw
- ta
- te
- th
- ti
- tr
- uk
- ur
- uz
- vi
- cy
- yo
licenses:
- cc-by-nc-sa-4.0
widget:
- text: Videos that say approved vaccines are dangerous and cause autism, cancer or
infertility are among those that will be taken down, the company said. The policy
includes the termination of accounts of anti-vaccine influencers. Tech giants
have been criticised for not doing more to counter false health information on
their sites. In July, US President Joe Biden said social media platforms were
largely responsible for people's scepticism in getting vaccinated by spreading
misinformation, and appealed for them to address the issue. YouTube, which is
owned by Google, said 130,000 videos were removed from its platform since last
year, when it implemented a ban on content spreading misinformation about Covid
vaccines. In a blog post, the company said it had seen false claims about Covid
jabs "spill over into misinformation about vaccines in general". The new policy
covers long-approved vaccines, such as those against measles or hepatitis B. "We're
expanding our medical misinformation policies on YouTube with new guidelines on
currently administered vaccines that are approved and confirmed to be safe and
effective by local health authorities and the WHO," the post said, referring to
the World Health Organization.
base_model: csebuetnlp/mT5_multilingual_XLSum
model-index:
- name: csebuetnlp/mT5_multilingual_XLSum
results:
- task:
type: summarization
name: Summarization
dataset:
name: xsum
type: xsum
config: default
split: test
metrics:
- type: rouge
value: 36.5002
name: ROUGE-1
verified: true
- type: rouge
value: 13.934
name: ROUGE-2
verified: true
- type: rouge
value: 28.9876
name: ROUGE-L
verified: true
- type: rouge
value: 28.9958
name: ROUGE-LSUM
verified: true
- type: loss
value: 2.0674800872802734
name: loss
verified: true
- type: gen_len
value: 26.9733
name: gen_len
verified: true
---
# ar08/mT5_multilingual_XLSum-Q8_0-GGUF
This model was converted to GGUF format from [`csebuetnlp/mT5_multilingual_XLSum`](https://huggingface.co/csebuetnlp/mT5_multilingual_XLSum) 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/csebuetnlp/mT5_multilingual_XLSum) 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 ar08/mT5_multilingual_XLSum-Q8_0-GGUF --hf-file mt5_multilingual_xlsum-q8_0.gguf -p "The meaning to life and the universe is"
```
### Server:
```bash
llama-server --hf-repo ar08/mT5_multilingual_XLSum-Q8_0-GGUF --hf-file mt5_multilingual_xlsum-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 ar08/mT5_multilingual_XLSum-Q8_0-GGUF --hf-file mt5_multilingual_xlsum-q8_0.gguf -p "The meaning to life and the universe is"
```
or
```
./llama-server --hf-repo ar08/mT5_multilingual_XLSum-Q8_0-GGUF --hf-file mt5_multilingual_xlsum-q8_0.gguf -c 2048
```
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