sdan / selfextendLinks
an implementation of Self-Extend, to expand the context window via grouped attention
☆119Updated last year
Alternatives and similar repositories for selfextend
Users that are interested in selfextend are comparing it to the libraries listed below
Sorting:
- inference code for mixtral-8x7b-32kseqlen☆103Updated last year
- Just a bunch of benchmark logs for different LLMs☆119Updated last year
- Full finetuning of large language models without large memory requirements☆94Updated 2 months ago
- An easy-to-understand framework for LLM samplers that rewind and revise generated tokens☆146Updated 9 months ago
- Generate Synthetic Data Using OpenAI, MistralAI or AnthropicAI☆222Updated last year
- Low-Rank adapter extraction for fine-tuned transformers models☆179Updated last year
- ☆164Updated 3 months ago
- Notus is a collection of fine-tuned LLMs using SFT, DPO, SFT+DPO, and/or any other RLHF techniques, while always keeping a data-first app…☆170Updated last year
- Comprehensive analysis of difference in performance of QLora, Lora, and Full Finetunes.☆83Updated 2 years ago
- Fully fine-tune large models like Mistral, Llama-2-13B, or Qwen-14B completely for free☆232Updated last year
- QLoRA: Efficient Finetuning of Quantized LLMs☆79Updated last year
- Merge Transformers language models by use of gradient parameters.☆209Updated last year
- Mixing Language Models with Self-Verification and Meta-Verification☆110Updated 11 months ago
- Evaluating LLMs with CommonGen-Lite☆93Updated last year
- ☆45Updated 2 years ago
- ☆117Updated 11 months ago
- ☆74Updated 2 years ago
- Steer LLM outputs towards a certain topic/subject and enhance response capabilities using activation engineering by adding steering vecto…☆250Updated 9 months ago
- Simple replication of [ColBERT-v1](https://arxiv.org/abs/2004.12832).☆79Updated last year
- ☆136Updated last year
- Data preparation code for Amber 7B LLM☆93Updated last year
- Efficient vector database for hundred millions of embeddings.☆211Updated last year
- Experiments on speculative sampling with Llama models☆127Updated 2 years ago
- ModuleFormer is a MoE-based architecture that includes two different types of experts: stick-breaking attention heads and feedforward exp…☆225Updated 2 months ago
- Cerule - A Tiny Mighty Vision Model☆68Updated 3 weeks ago
- Code repository for the c-BTM paper☆108Updated 2 years ago
- ☆86Updated last year
- OpenCoconut implements a latent reasoning paradigm where we generate thoughts before decoding.☆173Updated 10 months ago
- Optimizing Causal LMs through GRPO with weighted reward functions and automated hyperparameter tuning using Optuna☆59Updated last month
- Synthetic Data for LLM Fine-Tuning☆119Updated last year