tysam-code / hlb-gptLinks
Minimalistic, extremely fast, and hackable researcher's toolbench for GPT models in 307 lines of code. Reaches <3.8 validation loss on wikitext-103 on a single A100 in <100 seconds. Scales to larger models with one parameter change (feature currently in alpha).
☆351Updated last year
Alternatives and similar repositories for hlb-gpt
Users that are interested in hlb-gpt are comparing it to the libraries listed below
Sorting:
- Fast bare-bones BPE for modern tokenizer training☆168Updated 4 months ago
- ☆94Updated 2 years ago
- a small code base for training large models☆313Updated 6 months ago
- ☆415Updated 2 years ago
- A puzzle to learn about prompting☆135Updated 2 years ago
- ☆144Updated 2 years ago
- Helpers and such for working with Lambda Cloud☆51Updated 2 years ago
- Puzzles for exploring transformers☆376Updated 2 years ago
- JAX implementation of the Llama 2 model☆215Updated last year
- Language Modeling with the H3 State Space Model☆518Updated 2 years ago
- Simple Transformer in Jax☆139Updated last year
- Ungreedy subword tokenizer and vocabulary trainer for Python, Go & Javascript☆604Updated last year
- A crude RLHF layer on top of nanoGPT with Gumbel-Softmax trick☆293Updated last year
- Fine-tune mistral-7B on 3090s, a100s, h100s☆714Updated 2 years ago
- ☆310Updated last year
- git extension for {collaborative, communal, continual} model development☆215Updated last year
- An interactive exploration of Transformer programming.☆270Updated last year
- Extract full next-token probabilities via language model APIs☆247Updated last year
- ☆285Updated last year
- The repository for the code of the UltraFastBERT paper☆518Updated last year
- Solve puzzles. Learn CUDA.☆64Updated last year
- Fully fine-tune large models like Mistral, Llama-2-13B, or Qwen-14B completely for free☆231Updated last year
- batched loras☆347Updated 2 years ago
- Inference code for Persimmon-8B☆412Updated 2 years ago
- Annotated version of the Mamba paper☆490Updated last year
- MiniHF is an inference, human preference data collection, and fine-tuning tool for local language models. It is intended to help the user…☆181Updated last week
- Deep learning for dummies. All the practical details and useful utilities that go into working with real models.☆822Updated 3 months ago
- Full finetuning of large language models without large memory requirements☆93Updated last month
- Fast & Simple repository for pre-training and fine-tuning T5-style models☆1,013Updated last year
- Multipack distributed sampler for fast padding-free training of LLMs☆201Updated last year