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README_TEMPLATE.md

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+---
+tags:
+- llm-rs
+- ggml
+pipeline_tag: text-generation
+license: apache-2.0
+language:
+- en
+---
+
+# GGML converted versions of [EleutherAI](https://huggingface.co/EleutherAI)'s Pythia models
+
+## Description:
+The *Pythia Scaling Suite* is a collection of models developed to facilitate 
+interpretability research. It contains two sets of eight models of sizes 
+70M, 160M, 410M, 1B, 1.4B, 2.8B, 6.9B, and 12B. For each size, there are two 
+models: one trained on the Pile, and one trained on the Pile after the dataset 
+has been globally deduplicated. All 8 model sizes are trained on the exact 
+same data, in the exact same order. We also provide 154 intermediate 
+checkpoints per model, hosted on Hugging Face as branches.
+
+The Pythia model suite was deliberately designed to promote scientific 
+research on large language models, especially interpretability research. 
+Despite not centering downstream performance as a design goal, we find the 
+models match or exceed the performance of 
+similar and same-sized models, such as those in the OPT and GPT-Neo suites.
+
+## Converted Models:
+
+$MODELS$
+
+## 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/pythia-ggml",model_file="pythia-70m-q4_0-ggjt.bin")
+
+#Generate
+print(model.generate("The meaning of life is"))
+```
+
+### 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 -- gptneox infer -m path/to/model.bin  -p "Tell me how cool the Rust programming language is:"
+```