eigencore / Tlama_124MLinks
Tlama (124M) is a language model based on LlaMa3 (127M) optimized by EigenCore. It is designed for computational efficiency and scalability, allowing its use on resource-limited hardware without compromising performance.
☆12Updated 9 months ago
Alternatives and similar repositories for Tlama_124M
Users that are interested in Tlama_124M are comparing it to the libraries listed below
Sorting:
- 💻 As a Frontend Development Intern at Shen AI (Aug – Oct 2024), I built the company website using React.js and worked with the design te…☆13Updated 7 months ago
- Restaurant Management System is a web application built with Next.js and TypeScript. It offers features for restaurant management, includ…☆14Updated 8 months ago
- Incremental optimizations to the N-Body problem in order to evaluate and compare the performance of Python translators in the HPC environ…☆13Updated 2 years ago
- Fed2Tier offers a two-tier federated learning approach, optimizing for eco-friendliness and efficiency. It improves model generalizabilit…☆20Updated 2 years ago
- How would you predict the compressive strength of concrete as a function of its constituent materials and curing time? In this portfolio …☆12Updated 5 years ago
- "Optimizing Performance and Energy Efficiency in Massively Parallel Systems" PhD Dissertation repository.☆29Updated 3 years ago
- CacheIQL is an efficient JavaScript library designed to optimize GraphQL performance through intelligent caching, effectively minimizing …☆20Updated 3 weeks ago
- DATAVIEW is a big data workflow management system. It uses Dropbox as the data cloud and Amazon EC2 as the compute cloud. Current researc…☆11Updated 3 years ago
- The Packing problem has gained much relevance with the recent upheaval of the delivery and retail industry. Companies all over the world …☆11Updated 4 years ago
- This project involves using Simulink to create a comprehensive battery model that incorporates both charging and discharging resistances.…☆10Updated 2 years ago
- aliasgharheidaricom / RUN-Beyond-the-Metaphor-An-Efficient-Optimization-Algorithm-Based-on-Runge-Kutta-MethodThe optimization field suffers from the metaphor-based “pseudo-novel” or “fancy” optimizers. Most of these cliché methods mimic animals' …☆12Updated last year
- This project is a real-time Wav2Lip implementation that I am actively optimizing to enhance the precision and performance of audio-to-lip…☆11Updated 2 years ago
- Optimizing loading training data from cloud bucket storage for cloud-based distributed deep learning. Official repository for Quantifying…☆11Updated 4 years ago
- Explore the world of electric vehicle battery optimization, where I simulate and fine-tune charging strategies based on temperature and S…☆11Updated 2 years ago
- A web-based Kubernetes dashboard that streamlines resource allocation, DevOps management, security monitoring, and pod diagnostics. Harne…☆34Updated 11 months ago
- The optimised allocation of FACTS devices is a complex problem in large-scale power systems. The optimal placements of FACTS devices can …☆13Updated 7 years ago
- MOMPA: a high performance multi-objective optimizer based on marine predator algorithm☆22Updated last year
- 🚀 Leveraging advanced RNN with LSTM for efficient, real-time anomaly detection in IoT networks, optimized for performance in resource-co…☆13Updated 2 years ago
- ☆10Updated 3 years ago
- Machine learning can enhance a BMS by improving SOC and SOH estimation, detecting faults, and optimizing control policies. By leveraging …☆13Updated last year
- for testing metaheuristic algorithm which is specific for continuous search spaces like Particle Swarm optimizations, Differential evolut…☆19Updated last year
- ChunkManager for Godot: A dynamic chunk management system for 2D games in Godot, enabling efficient loading and unloading of tile chunks …☆12Updated last year
- 📊 Research-focused SDXL training framework exploring novel optimization approaches. Goals include enhanced image quality, training stabi…☆21Updated 7 months ago
- mahdi-usask / Wind-Speed-Forecasting-for-wind-power-generation-plant.-Neural-Network-ML-based-prediction-algo.-For largescale wind power penetration Wind speed prediction is a basic requirement of wind energy generation. There are many artificial n…☆49Updated 4 years ago
- Optimizing microgrid performance using reinforcement Learning☆46Updated 6 years ago
- Energy storage and conversion systems☆10Updated 5 years ago
- A simulation tool developed through MATLAB for direct comparison of the three operating strategies for stand-alone PV systems: isolated s…☆10Updated 6 years ago
- If you are interested in my work, please don't hesitate to contact me. Email address: ratana103713@gmail.com☆19Updated 7 years ago
- Basic version of the micro-grid model to simulate technical and economic performance of micro-grids with demand-side management capabilit…☆10Updated 7 years ago
- Code for replicating results: Two-Timescale Stochastic Dispatch of Smart Distribution Grids☆12Updated 4 years ago