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New 700M parameter model Shibai-700M-Base trained on 18B tokens

By PulseAugur Editorial · [1 sources] ·

A user named TheOneWhoWill has pre-trained a 700 million parameter language model called Shibai-700M-Base. This model was trained on 18 billion tokens and is optimized for Python and Wikitext, with plans to further train it on docstring-based Python code. The model is designed for next-token prediction rather than chat and is considered significantly better than GPT-2. AI

IMPACT This release offers a new, potentially more efficient model for specific tasks like Python code generation, contributing to the diverse landscape of open-source LLMs.

RANK_REASON The cluster describes the pre-training and release of a new, smaller-scale language model by an individual developer, which falls under research. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New 700M parameter model Shibai-700M-Base trained on 18B tokens

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Tool
The cluster describes the pre-training and release of a new, smaller-scale language model by an individual developer, which falls under research. [lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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model release
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High
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58 days old
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COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/TheOneWhoWil ·

    I pre-trained a 700m on 18B tokens optimized for Python and Wikitext | TheOneWhoWill/Shibai-700M-Base · Hugging Face

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1va6dvv/i_pretrained_a_700m_on_18b_tokens_optimized_for/"> <img alt="I pre-trained a 700m on 18B tokens optimized for Python and Wikitext | TheOneWhoWill/Shibai-700M-Base · Hugging Face" src="https://external-…

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