fairydreaming / farel-benchLinks
Testing LLM reasoning abilities with family relationship quizzes.
☆63Updated 7 months ago
Alternatives and similar repositories for farel-bench
Users that are interested in farel-bench are comparing it to the libraries listed below
Sorting:
- Low-Rank adapter extraction for fine-tuned transformers models☆177Updated last year
- ☆134Updated last year
- Transplants vocabulary between language models, enabling the creation of draft models for speculative decoding WITHOUT retraining.☆42Updated last week
- Easily view and modify JSON datasets for large language models☆83Updated 4 months ago
- An easy-to-understand framework for LLM samplers that rewind and revise generated tokens☆146Updated 7 months ago
- The simplest, fastest repository for training/finetuning medium-sized xLSTMs.☆41Updated last year
- This is our own implementation of 'Layer Selective Rank Reduction'☆240Updated last year
- ☆135Updated last month
- Embed arbitrary modalities (images, audio, documents, etc) into large language models.☆187Updated last year
- ☆67Updated last year
- 1.58-bit LLaMa model☆82Updated last year
- Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.☆201Updated last year
- AI management tool☆121Updated 10 months ago
- A pipeline parallel training script for LLMs.☆159Updated 4 months ago
- An unsupervised model merging algorithm for Transformers-based language models.☆107Updated last year
- Load multiple LoRA modules simultaneously and automatically switch the appropriate combination of LoRA modules to generate the best answe…☆158Updated last year
- Video+code lecture on building nanoGPT from scratch☆69Updated last year
- A fast batching API to serve LLM models☆187Updated last year
- ☆116Updated 9 months ago
- ☆155Updated 5 months ago
- Experimental LLM Inference UX to aid in creative writing☆122Updated 9 months ago
- Comparison of the output quality of quantization methods, using Llama 3, transformers, GGUF, EXL2.☆163Updated last year
- Micro Llama is a small Llama based model with 300M parameters trained from scratch with $500 budget☆161Updated last month
- Guaranteed Structured Output from any Language Model via Hierarchical State Machines☆146Updated 3 months ago
- 5X faster 60% less memory QLoRA finetuning☆21Updated last year
- Easy to use, High Performant Knowledge Distillation for LLMs☆93Updated 4 months ago
- ☆161Updated last month
- ☆51Updated last year
- ☆133Updated 4 months ago
- A compact LLM pretrained in 9 days by using high quality data☆324Updated 5 months ago