Create README.md
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README.md
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---
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license: apache-2.0
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datasets:
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- JeanKaddour/minipile
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- BEE-spoke-data/wikipedia-20230901.en-deduped
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- BEE-spoke-data/knowledge-inoc-concat-v1
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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
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for developing the award winning Halo series of video games. They also
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made 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,
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oranges, 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,
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and another train leaves Station B at 10:00 AM and travels at 80 mph, when
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will 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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---
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# BEE-spoke-data/mega-ar-126m-4k
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> model card WIP, more details to come
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This may not be the _best_ language model, but it is a language model! It's interesting for a few reasons, not in the least of which is that it's technically not a transformer.
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Details:
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- 768 hidden size, 12 layers
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- no MEGA chunking, 4096 context length
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- EMA dimension 16, shared dimension 192
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- train-from-scratch
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---
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