| | --- |
| | 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:" |
| | ``` |
