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User trains 1.1B LLM from scratch for $200, shares code and model

By PulseAugur Editorial · [1 sources] ·

A user has successfully trained a 1.1 billion parameter large language model from scratch for approximately $200. The model, named 'gemmeh', was pre-trained on 20 billion tokens from the fineweb-edu dataset and then fine-tuned using LoRA on the openhermes dataset to create a chat-capable model. The user has shared the code, model weights, and a demo website for the project, detailing the architectural choices and training process. AI

IMPACT Demonstrates the feasibility and low cost of training custom LLMs, potentially enabling wider experimentation and development.

RANK_REASON User-generated research project detailing LLM training from scratch. [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 →

User trains 1.1B LLM from scratch for $200, shares code and model

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0 / 100
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User-generated research project detailing LLM training from scratch. [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.
Topics
model release, infra
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High
Clearly on-topic for AI-industry coverage.
Story freshness
46 days old
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COVERAGE [1]

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

    I trained a 1B-parameter LLM from scratch on 20B tokens for about $200

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1vkydi5/i_trained_a_1bparameter_llm_from_scratch_on_20b/"> <img alt="I trained a 1B-parameter LLM from scratch on 20B tokens for about $200" src="https://preview.redd.it/r1rf94r57mih1.png?width=140&amp;height=…

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