ahmed-moubtahij / TokenHealerLinks
☆23Updated last year
Alternatives and similar repositories for TokenHealer
Users that are interested in TokenHealer are comparing it to the libraries listed below
Sorting:
- Low-Rank adapter extraction for fine-tuned transformers models☆178Updated last year
- An easy-to-understand framework for LLM samplers that rewind and revise generated tokens☆145Updated 8 months ago
- ☆67Updated last year
- entropix style sampling + GUI☆27Updated last year
- Let's create synthetic textbooks together :)☆75Updated last year
- Model REVOLVER, a human in the loop model mixing system.☆32Updated 2 years ago
- ☆116Updated 10 months ago
- an implementation of Self-Extend, to expand the context window via grouped attention☆118Updated last year
- Full finetuning of large language models without large memory requirements☆93Updated last month
- ☆73Updated 2 years ago
- An unsupervised model merging algorithm for Transformers-based language models.☆106Updated last year
- ☆163Updated 3 months ago
- ☆136Updated last year
- GPT-2 small trained on phi-like data☆67Updated last year
- ☆50Updated last year
- Landmark Attention: Random-Access Infinite Context Length for Transformers QLoRA☆123Updated 2 years ago
- Generate Synthetic Data Using OpenAI, MistralAI or AnthropicAI☆221Updated last year
- This is our own implementation of 'Layer Selective Rank Reduction'☆239Updated last year
- Steer LLM outputs towards a certain topic/subject and enhance response capabilities using activation engineering by adding steering vecto…☆42Updated last year
- An OpenAI API compatible LLM inference server based on ExLlamaV2.☆25Updated last year
- QLoRA: Efficient Finetuning of Quantized LLMs☆79Updated last year
- ☆26Updated 2 years ago
- Fully fine-tune large models like Mistral, Llama-2-13B, or Qwen-14B completely for free☆231Updated last year
- Transplants vocabulary between language models, enabling the creation of draft models for speculative decoding WITHOUT retraining.☆44Updated 2 weeks ago
- Comprehensive analysis of difference in performance of QLora, Lora, and Full Finetunes.☆82Updated 2 years ago
- Synthetic data derived by templating, few shot prompting, transformations on public domain corpora, and monte carlo tree search.☆32Updated last month
- Tune MPTs☆84Updated 2 years ago
- ☆35Updated 2 years ago
- Parameter-Efficient Sparsity Crafting From Dense to Mixture-of-Experts for Instruction Tuning on General Tasks☆31Updated last year
- 5X faster 60% less memory QLoRA finetuning☆21Updated last year