
# SeaLLM-7B-Chat-GGUF
This is a converted version of the [SeaLM-7B-Chat](https://huggingface.co/SeaLLMs/SeaLLM-7B-Chat) model to be used with the GGUF format. The model is trained on Vietnamese 🇻🇳, Indonesian 🇮🇩, Thai 🇹🇭, Malay 🇲🇾, Khmer 🇰🇭, Lao 🇱🇦, Tagalog 🇵🇭 and Burmese 🇲🇲.

- Model Creator: [SeaLLMs](https://huggingface.co/SeaLLMs)
- Original Model: [SeaLLM-7B-Chat](https://huggingface.co/SeaLLMs/SeaLLM-7B-Chat)

<blockquote style="color:red">
<p><strong style="color: red">Terms of Use and License</strong>: 
By using these released weights, codes, and demos, you agree to and comply with the terms and conditions specified in the original <a href="https://huggingface.co/SeaLLMs/SeaLLM-Chat-13b/edit/main/LICENSE" target="_blank" rel="noopener">SeaLLMs Terms Of Use</a>.
</blockquote>

<!-- README_GGUF.md-about-gguf start -->
## About GGUF

GGUF is a new format introduced by the llama.cpp team on August 21st 2023. It is a replacement for GGML, which is no longer supported by llama.cpp. GGUF offers numerous advantages over GGML, such as better tokenisation, and support for special tokens. It is also supports metadata, and is designed to be extensible.

Here is an incomplate list of clients and libraries that are known to support GGUF:

* [llama.cpp](https://github.com/ggerganov/llama.cpp). The source project for GGUF. Offers a CLI and a server option.
* [text-generation-webui](https://github.com/oobabooga/text-generation-webui), the most widely used web UI, with many features and powerful extensions. Supports GPU acceleration.
* [KoboldCpp](https://github.com/LostRuins/koboldcpp), a fully featured web UI, with GPU accel across all platforms and GPU architectures. Especially good for story telling.
* [LM Studio](https://lmstudio.ai/), an easy-to-use and powerful local GUI for Windows and macOS (Silicon), with GPU acceleration.
* [LoLLMS Web UI](https://github.com/ParisNeo/lollms-webui), a great web UI with many interesting and unique features, including a full model library for easy model selection.
* [Faraday.dev](https://faraday.dev/), an attractive and easy to use character-based chat GUI for Windows and macOS (both Silicon and Intel), with GPU acceleration.
* [ctransformers](https://github.com/marella/ctransformers), a Python library with GPU accel, LangChain support, and OpenAI-compatible AI server.
* [llama-cpp-python](https://github.com/abetlen/llama-cpp-python), a Python library with GPU accel, LangChain support, and OpenAI-compatible API server.
* [candle](https://github.com/huggingface/candle), a Rust ML framework with a focus on performance, including GPU support, and ease of use.

<!-- README_GGUF.md-about-gguf end -->
<!-- repositories-available start -->
## Repositories available

* [AWQ model(s) for GPU inference.](https://huggingface.co/TheBloke/Llama-2-7b-Chat-AWQ)
* [GPTQ models for GPU inference, with multiple quantisation parameter options.](https://huggingface.co/TheBloke/Llama-2-7b-Chat-GPTQ)
* [2, 3, 4, 5, 6 and 8-bit GGUF models for CPU+GPU inference](https://huggingface.co/TheBloke/Llama-2-7b-Chat-GGUF)
* [Meta Llama 2's original unquantised fp16 model in pytorch format, for GPU inference and for further conversions](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf)
<!-- repositories-available end -->

## Prompt template: Llama-2-Chat

```
[INST] <<SYS>>
You are a multilingual, helpful, respectful and honest assistant. Please always answer as helpfully as possible, while being safe. Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature.

If a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information.

As a multilingual assistant, you must respond and follow instructions in the native language of the user by default, unless told otherwise. Your response should adapt to the norms and customs of the respective language and culture.
<</SYS>>
{prompt}[/INST]

```

## Compatibility

These quantised GGUFv2 files are compatible with llama.cpp from August 27th onwards, as of commit [d0cee0d36d5be95a0d9088b674dbb27354107221](https://github.com/ggerganov/llama.cpp/commit/d0cee0d36d5be95a0d9088b674dbb27354107221)

They are also compatible with many third party UIs and libraries - please see the list at the top of this README.
{"language": ["en", "vi", "id", "ms", "th", "km", "lo", "my", "tl", "zh"], "license": "other", "license_name": "seallms", "license_link": "https://huggingface.co/SeaLLMs/SeaLLM-Chat-13b/blob/main/LICENSE", "extra_gated_prompt": "You agree to not use the models for any harmful, inappropriate, unethical or illegal purpose or intention. You agree to perform your own red teaming and provide related safety and security measures before deployment for any product relevant to our models and demos, and you must abide by and comply with local governance and regulations. In no event shall the models' authors be held liable for any claim, damages, or other liability arising from the use of the released weights, codes, or demos. The models and demos may be subject to export controls or restrictions in the United States or other countries or regions. You shall comply with applicable laws and regulations in your use of the demos.", "extra_gated_fields": {"Company": "text", "Country": "text", "I agree to use this model for non-commercial use ONLY": "checkbox"}, "prompt_template": "[INST] <<SYS>>\nYou are a multilingual, helpful, respectful and honest assistant. Please always answer as helpfuly possible, while being safe.  Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature. If a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information.\nAs a multilingual assistant, you must respond and follow instructions in the native language of the user by default, unless told otherwise. Your response should adapt to the norms and customs of the respective language and culture. <</SYS>>\n{prompt}[/INST]\n", "quantized_by": "parinzee", "inference": false, "base_model": "SeaLLMs/SeaLLM-7B-Chat", "model_type": "llama"}
gguf en vi id ms th km lo my tl zh base_model:SeaLLMs/SeaLLM-7B-Chat license:other region:us