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--- |
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tags: |
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- llm-rs |
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- ggml |
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pipeline_tag: text-generation |
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license: apache-2.0 |
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language: |
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- en |
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datasets: |
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- togethercomputer/RedPajama-Data-1T |
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--- |
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# GGML converted versions of [OpenLM Research](https://huggingface.co/openlm-research)'s LLaMA models |
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# OpenLLaMA: An Open Reproduction of LLaMA |
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In this repo, we present a permissively licensed open source reproduction of Meta AI's [LLaMA](https://ai.facebook.com/blog/large-language-model-llama-meta-ai/) large language model. We are releasing a 7B and 3B model trained on 1T tokens, as well as the preview of a 13B model trained on 600B tokens. We provide PyTorch and JAX weights of pre-trained OpenLLaMA models, as well as evaluation results and comparison against the original LLaMA models. Please see the [project homepage of OpenLLaMA](https://github.com/openlm-research/open_llama) for more details. |
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## Weights Release, License and Usage |
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We release the weights in two formats: an EasyLM format to be use with our [EasyLM framework](https://github.com/young-geng/EasyLM), and a PyTorch format to be used with the [Hugging Face transformers](https://huggingface.co/docs/transformers/index) library. Both our training framework EasyLM and the checkpoint weights are licensed permissively under the Apache 2.0 license. |
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## Converted Models: |
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$MODELS$ |
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## Usage |
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### Python via [llm-rs](https://github.com/LLukas22/llm-rs-python): |
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#### Installation |
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Via pip: `pip install llm-rs` |
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#### Run inference |
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```python |
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from llm_rs import AutoModel |
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#Load the model, define any model you like from the list above as the `model_file` |
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model = AutoModel.from_pretrained("rustformers/open-llama-ggml",model_file=" open_llama_7b-q4_0-ggjt.bin") |
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#Generate |
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print(model.generate("The meaning of life is")) |
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``` |
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### Using [local.ai](https://github.com/louisgv/local.ai) GUI |
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#### Installation |
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Download the installer at [www.localai.app](https://www.localai.app/). |
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#### Running Inference |
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Download your preferred model and place it in the "models" directory. Subsequently, you can start a chat session with your model directly from the interface. |
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### Rust via [Rustformers/llm](https://github.com/rustformers/llm): |
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#### Installation |
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``` |
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git clone --recurse-submodules https://github.com/rustformers/llm.git |
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cd llm |
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cargo build --release |
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``` |
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#### Run inference |
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``` |
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cargo run --release -- llama infer -m path/to/model.bin -p "Tell me how cool the Rust programming language is:" |
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``` |
