1.0.1 Safe to install
Cultivate Language Models with LLM Farm
LLM Farm by Artem Savkin is a powerful tool for managing and deploying language models, designed to streamline the development process for AI applications.
LLMFarm is an application available for iOS and MacOS designed for managing large language models (LLM). It provides the functionality to load various LLMs customizable with specific parameters.
Features:
- Multiple inference capabilities
- Diverse sampling methods
- Metal integration
- Model configuration templates
- Support for LoRA adapters and LoRA FineTune and Export features
Inferences:
- LLaMA
- GPTNeoX
- Replit
- GPT2 + Cerebras
- Starcoder (Santacoder)
- RWKV (20B tokenizer)
- Falcon
- MPT
- Bloom
- StableLM-3b-4e1t
- Qwen
Multimodal:
- LLaVA 1.5 models
- Obsidian
- MobileVLM 1.7B/3B models
Note: For detailed model settings for Falcon, Alpaca, GPT4All, Chinese LLaMA/Alpaca, Chinese LLaMA-2/Alpaca-2, Vigogne (French), Vicuna, Koala, OpenBuddy (Multilingual), Pygmalion/Metharme, WizardLM, Baichuan 1 & 2 + derivatives, Aquila 1 & 2, Mistral AI v0.1, Refact, Persimmon 8B, MPT, Bloom, please select the llama inference in the model settings.
Sampling methods:
- Temperature variations (temp, tok-k, top-p)
- Tail Free Sampling (TFS)
- Locally Typical Sampling
- Mirostat
- Greedy sampling
- Grammar-based sampling (does not work with GGJTv3)
Overview
LLM Farm is a Freeware software in the category Development developed by Artem Savkin.
The latest version of LLM Farm is 1.0.1, released on 06/14/2024. It was initially added to our database on 06/14/2024.
LLM Farm runs on the following operating systems: iOS.
Users of LLM Farm gave it a rating of 4 out of 5 stars.
Pros
- User-friendly interface that simplifies the management of LLMs.
- Supports multiple language models, providing flexibility for users.
- Offers scalable infrastructure that can handle large data sets and high traffic loads.
- Integrates with various APIs and tools for enhanced functionality.
- Active community support and regular updates from the developer.
Cons
- Limited to specific language models, which may not cover all user needs.
- Setup process might be complex for non-technical users.
- Pricing structure may be high for small startups or individuals.
- Performance can vary based on server selection and configuration.
- Documentation could be improved for better understanding of advanced features.
Peter Salakani
I'm Peter, a software reviews author at UpdateStar and content specialist with a keen focus on usability and performance. With a background in both software development and content creation, I bring a unique perspective to evaluating and discussing general software topics. When I'm not reviewing software, I enjoy staying updated on the latest tech trends, experimenting with new applications, and finding innovative solutions to everyday tech challenges.
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