Although Replete-Coder has amazing coding capabilities, its trained on vaste amount of non-coding data, fully cleaned and uncensored. Dont just use it for coding, use it for all your needs! We are truly trying to make the GPT killer! !image/png Thank you to TensorDock for sponsoring Replete-Coder-llama3-8b and Replete-Coder-Qwen2-1.5b you can check out their website for cloud compute rental below. — https://tensordock.com Replete-Coder-llama3-8b is a general purpose model that is specially trained in coding in over 100 coding languages. The data used to train the model contains 25% non-code instruction data and 75% coding instruction data totaling up to 3.9 million lines, roughly 1 billion tokens, or 7.27gb of instruct data. The data used to train this model was 100% uncensored, then fully deduplicated, before training happened. The Replete-Coder models (including Replete-Coder-llama3-8b and Replete-Coder-Qwen2-1.5b) feature the following: — Advanced coding capabilities in over 100 coding languages — Advanced code translation (between languages) — Security and vulnerability prevention related coding capabilities — General purpose use — Uncensored use — Function calling — Advanced…
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Генерация текста
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Задача: Генерация текста
Автор: rombodawg
Теги: llama, text-generation-inference, unsloth, conversational, model-index, endpoints_compatible
Лайков: 4 | Загрузок: 8,386
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
