Generated README.md

README.md

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 ---
+tags:
+- llm-rs
+- ggml
+pipeline_tag: text-generation
 license: apache-2.0
+language:
+- en
+datasets:
+- togethercomputer/RedPajama-Data-1T
 ---
+# GGML converted versions of [OpenLM Research](https://huggingface.co/openlm-research)'s LLaMA models
+
+# OpenLLaMA: An Open Reproduction of LLaMA
+
+
+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.
+
+
+## Weights Release, License and Usage
+
+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.
+
+## Converted Models:
+
+| Name                                                                                                                    | Based on                                                                              | Type   | Container   | GGML Version   |
+|:------------------------------------------------------------------------------------------------------------------------|:--------------------------------------------------------------------------------------|:-------|:------------|:---------------|
+| [open_llama_3b-f16.bin](https://huggingface.co/rustformers/open-llama-ggml/blob/main/open_llama_3b-f16.bin)             | [openlm-research/open_llama_3b](https://huggingface.co/openlm-research/open_llama_3b) | F16    | GGML        | V3             |
+| [open_llama_3b-q4_0-ggjt.bin](https://huggingface.co/rustformers/open-llama-ggml/blob/main/open_llama_3b-q4_0-ggjt.bin) | [openlm-research/open_llama_3b](https://huggingface.co/openlm-research/open_llama_3b) | Q4_0   | GGJT        | V3             |
+| [open_llama_3b-q5_1-ggjt.bin](https://huggingface.co/rustformers/open-llama-ggml/blob/main/open_llama_3b-q5_1-ggjt.bin) | [openlm-research/open_llama_3b](https://huggingface.co/openlm-research/open_llama_3b) | Q5_1   | GGJT        | V3             |
+| [open_llama_7b-f16.bin](https://huggingface.co/rustformers/open-llama-ggml/blob/main/open_llama_7b-f16.bin)             | [openlm-research/open_llama_7b](https://huggingface.co/openlm-research/open_llama_7b) | F16    | GGML        | V3             |
+| [open_llama_7b-q4_0-ggjt.bin](https://huggingface.co/rustformers/open-llama-ggml/blob/main/open_llama_7b-q4_0-ggjt.bin) | [openlm-research/open_llama_7b](https://huggingface.co/openlm-research/open_llama_7b) | Q4_0   | GGJT        | V3             |
+| [open_llama_7b-q5_1-ggjt.bin](https://huggingface.co/rustformers/open-llama-ggml/blob/main/open_llama_7b-q5_1-ggjt.bin) | [openlm-research/open_llama_7b](https://huggingface.co/openlm-research/open_llama_7b) | Q5_1   | GGJT        | V3             |
+
+## Usage
+
+### Python via [llm-rs](https://github.com/LLukas22/llm-rs-python):
+
+#### Installation
+Via pip: `pip install llm-rs`
+
+#### Run inference
+```python
+from llm_rs import AutoModel
+
+#Load the model, define any model you like from the list above as the `model_file`
+model = AutoModel.from_pretrained("rustformers/open-llama-ggml",model_file=" open_llama_7b-q4_0-ggjt.bin")
+
+#Generate
+print(model.generate("The meaning of life is"))
+```
+### Using [local.ai](https://github.com/louisgv/local.ai) GUI 
+
+#### Installation
+Download the installer at [www.localai.app](https://www.localai.app/).
+
+#### Running Inference
+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.
+
+### Rust via [Rustformers/llm](https://github.com/rustformers/llm): 
+
+#### Installation
+```
+git clone --recurse-submodules https://github.com/rustformers/llm.git
+cd llm
+cargo build --release
+```
+
+#### Run inference
+```
+cargo run --release -- llama infer -m path/to/model.bin  -p "Tell me how cool the Rust programming language is:"
+```