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--- |
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license: apache-2.0 |
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language: |
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- en |
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inference: |
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parameters: |
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max_new_tokens: 64 |
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do_sample: true |
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temperature: 0.8 |
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repetition_penalty: 1.05 |
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no_repeat_ngram_size: 4 |
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eta_cutoff: 0.0006 |
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renormalize_logits: true |
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widget: |
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- text: My name is El Microondas the Wise, and |
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example_title: El Microondas |
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- text: Kennesaw State University is a public |
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example_title: Kennesaw State University |
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- text: >- |
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Bungie Studios is an American video game developer. They are most famous for |
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developing the award winning Halo series of video games. They also made |
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Destiny. The studio was founded |
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example_title: Bungie |
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- text: The Mona Lisa is a world-renowned painting created by |
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example_title: Mona Lisa |
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- text: >- |
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The Harry Potter series, written by J.K. Rowling, begins with the book |
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titled |
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example_title: Harry Potter Series |
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- text: >- |
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Question: I have cities, but no houses. I have mountains, but no trees. I |
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have water, but no fish. What am I? |
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Answer: |
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example_title: Riddle |
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- text: The process of photosynthesis involves the conversion of |
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example_title: Photosynthesis |
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- text: >- |
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Jane went to the store to buy some groceries. She picked up apples, oranges, |
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and a loaf of bread. When she got home, she realized she forgot |
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example_title: Story Continuation |
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- text: >- |
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Problem 2: If a train leaves Station A at 9:00 AM and travels at 60 mph, and |
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another train leaves Station B at 10:00 AM and travels at 80 mph, when will |
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they meet if the distance between the stations is 300 miles? |
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To determine |
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example_title: Math Problem |
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- text: In the context of computer programming, an algorithm is |
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example_title: Algorithm Definition |
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pipeline_tag: text-generation |
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tags: |
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- smol_llama |
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- llama2 |
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datasets: |
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- JeanKaddour/minipile |
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- pszemraj/simple_wikipedia_LM |
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- mattymchen/refinedweb-3m |
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- BEE-spoke-data/knowledge-inoc-concat-v1 |
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--- |
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# smol_llama: 220M GQA |
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> model card WIP, more details to come |
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A small 220M param (total) decoder model. This is the first version of the model. |
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- 1024 hidden size, 10 layers |
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- GQA (32 heads, 8 key-value), context length 2048 |
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- train-from-scratch on one GPU :) |
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## Links |
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Here are some fine-tunes we did, but there are many more possibilities out there! |
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- instruct |
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- openhermes - [link](https://huggingface.co/BEE-spoke-data/smol_llama-220M-openhermes) |
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- open-instruct - [link](https://huggingface.co/BEE-spoke-data/smol_llama-220M-open_instruct) |
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- code |
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- python (pypi) - [link](https://huggingface.co/BEE-spoke-data/beecoder-220M-python) |
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--- |
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