Create README.md

README.md

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+---
+license: apache-2.0
+thumbnail: https://i.ibb.co/TvyMrRc/rsz-smol-llama-banner.png
+language:
+- en
+inference:
+  parameters:
+    max_new_tokens: 64
+    do_sample: true
+    repetition_penalty: 1.2
+    no_repeat_ngram_size: 5
+    eta_cutoff: 0.0006
+    renormalize_logits: true
+widget:
+- text: My name is El Microondas the Wise and
+  example_title: El Microondas
+- text: Kennesaw State University is a public
+  example_title: Kennesaw State University
+- text: >-
+    Bungie Studios is an American video game developer. They are most famous for
+    developing the award winning Halo series of video games. They also made
+    Destiny. The studio was founded
+  example_title: Bungie
+- text: The Mona Lisa is a world-renowned painting created by
+  example_title: Mona Lisa
+- text: >-
+    The Harry Potter series, written by J.K. Rowling, begins with the book
+    titled
+  example_title: Harry Potter Series
+- text: >-
+    Question: I have cities, but no houses. I have mountains, but no trees. I
+    have water, but no fish. What am I?
+
+    Answer:
+  example_title: Riddle
+- text: The process of photosynthesis involves the conversion of
+  example_title: Photosynthesis
+- text: >-
+    Jane went to the store to buy some groceries. She picked up apples, oranges,
+    and a loaf of bread. When she got home, she realized she forgot
+  example_title: Story Continuation
+- text: >-
+    Problem 2: If a train leaves Station A at 9:00 AM and travels at 60 mph, and
+    another train leaves Station B at 10:00 AM and travels at 80 mph, when will
+    they meet if the distance between the stations is 300 miles?
+
+    To determine
+  example_title: Math Problem
+- text: In the context of computer programming, an algorithm is
+  example_title: Algorithm Definition
+pipeline_tag: text-generation
+tags:
+- smol_llama
+- llama2
+datasets:
+- JeanKaddour/minipile
+- pszemraj/simple_wikipedia_LM
+- BEE-spoke-data/wikipedia-20230901.en-deduped
+- mattymchen/refinedweb-3m
+---
+
+
+# smol_llama-81M-tied
+
+A small 101M param (total) decoder model. This is the first version of the model.
+
+- 768 hidden size, 6 layers
+- standard multi-head attention (24 heads), context length 1024
+- input/output embeddings **are tied**
+- train-from-scratch
+
+## Notes
+
+**This checkpoint** is the 'raw' pre-trained model and has not been tuned to a more specific task. **It should be fine-tuned** before use in most cases.
+
+- slightly larger 101M param GQA pretrained version: [here](https://huggingface.co/BEE-spoke-data/smol_llama-101M-GQA)
+- For the chat version of this model, please [see here](https://youtu.be/dQw4w9WgXcQ?si=3ePIqrY1dw94KMu4)
+
+---