README.md

---
base_model: meta-llama/Llama-3.2-1B-Instruct
language:
- en
- de
- fr
- it
- pt
- hi
- es
- th
library_name: transformers
license: llama3.2
pipeline_tag: text-generation
tags:
- facebook
- meta
- pytorch
- llama
- llama-3
quantized_by: bartowski
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---
## Llama 3.2 1B Instruct by Meta-Llama as Llamafile

For more informations about LLama Files see: https://github.com/Mozilla-Ocho/llamafile

This model is packaged into executable weights that we
call [llamafiles](https://github.com/Mozilla-Ocho/llamafile). This gives
you the easiest fastest way to use the model on Linux, MacOS, Windows,
FreeBSD, OpenBSD and NetBSD systems you control on both AMD64 and ARM64.

## Quickstart

```
wget https://huggingface.co/wirthual/Meta-Llama-3.2-3B-Instruct-llamafile/resolve/main/Meta-Llama-3.2-1B-Instruct-Q8_0.llamafile
chmod +x Meta-Llama-3.2-1B-Instruct-Q8_0.llamafile
./Meta-Llama-3.2-1B-Instruct-Q8_0.llamafile
```

You can then use the completion mode of the GUI to experiment with this
model. You can prompt the model for completions on the command line too:

```
./Meta-Llama-3.2-1B-Instruct-Q8_0.llamafile -p 'four score and seven' --log-disable
```

Note:
Change the path depending on the version of the model you want to test.


For further information, please see the [llamafile
README](https://github.com/mozilla-ocho/llamafile/).

Having **trouble?** See the ["Gotchas"
section](https://github.com/mozilla-ocho/llamafile/?tab=readme-ov-file#gotchas-and-troubleshooting)
of the README.


## Technical Details

Llama 3.2 is optimized for multilingual dialogue use cases, including agentic retrieval and summarization tasks.

Officially supports English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai languages, but is trained on even more.

128K context length support


**Derived from:** [lmstudio-community](https://huggingface.co/lmstudio-community/Llama-3.2-1B-Instruct-GGUF)<br>
**Model creator:** [meta-llama](https://huggingface.co/meta-llama)<br>
**Original model**: [Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct)<br>
**GGUF quantization:** provided by [bartowski](https://huggingface.co/bartowski) based on `llama.cpp` release [b3821](https://github.com/ggerganov/llama.cpp/releases/tag/b3821)<br>


## Special thanks

🙏 Special thanks to [Georgi Gerganov](https://github.com/ggerganov) and the whole team working on [llama.cpp](https://github.com/ggerganov/llama.cpp/) for making all of this possible.

## Disclaimers

wirthual is not the creator, originator, or owner of any Model. wirthual does not endorse, support, represent or guarantee the completeness, truthfulness, accuracy, or reliability of any Model.  You understand that Models can produce content that might be offensive, harmful, inaccurate or otherwise inappropriate, or deceptive. Each Model is the sole responsibility of the person or entity who originated such Model. wirthual may not monitor or control the Models and cannot, and does not, take responsibility for any such Model. wirthual disclaims all warranties or guarantees about the accuracy, reliability or benefits of the Models.  wirthual further disclaims any warranty that the Model will meet your requirements, be secure, uninterrupted or available at any time or location, or error-free, viruses-free, or that any errors will be corrected, or otherwise. You will be solely responsible for any damage resulting from your use of or access to the Models, your downloading of any Model, or use of any other Model provided by or through wirthual.