arman-bd/guppylm resource

Health v2 · maintenance only

Flags: no_releases young no_license

Adoption not part of the score

3435 stars · 304 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

GuppyLM is a ~9M parameter language model trained from scratch to talk like a small fish, built as an educational project demonstrating the full LLM pipeline: data generation, tokenizer, architecture, training loop, and inference. It ships with Colab notebooks, a browser demo, and a Hugging Face model and dataset.

Use cases

• learn how to train your own language model from scratch
• understand the full LLM pipeline without a PhD or GPU cluster
• train a tiny transformer in a Colab notebook in minutes
• demo a small language model in the browser
• teach students how tokenizers, training loops, and inference work
• build a toy chatbot with a custom personality

When to choose

• you want a hands-on educational walkthrough of building an LLM end to end
• you need a tiny, fast model that runs on free Colab or in-browser via WebAssembly
• you're teaching or learning how language models actually work under the hood

When to avoid

• you need a production-quality LLM for real tasks like writing or coding
• you require strong reasoning, long context, or general knowledge
• you need a model with an established license for commercial use

Facets

learning-resource · maturity active

llm-training llm-inference machine-learning deep-learning data-generation large-language-models machine-learning deep-learning education tutorials python browser educational tiny-language-model from-scratch colab-notebook toy-model transformer beginner-friendly web gpu

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markdown · JSON · MCP: product_card(name="arman-bd/guppylm")