LLM Farm app analytics for December 15

LLMFarm is an iOS and MacOS app to work with large language models (LLM). It allows you to load different LLMs with certain parameters. # Features * Various inferences * Various sampling methods * Metal * Model setting templates # Inferences * LLaMA * GPTNeoX * Replit * GPT2 + Cerebras * Starcoder(Santacoder) * RWKV * Falcon * MPT * Bloom * StableLM-3b-4e1t * Qwen * Gemma * Phi * Mamba * Others # Multimodal * LLaVA 1.5 models * Obsidian * Bunny * MobileVLM 1.7B/3B models Note: For Falcon, Alpaca, GPT4All, Chinese LLaMA / Alpaca and Chinese LLaMA-2 / Alpaca-2, Vigogne (French), Vicuna, Koala, OpenBuddy (Multilingual), Pygmalion/Metharme, WizardLM, Baichuan 1 & 2 + derivations, Aquila 1 & 2, Mistral AI v0.1, Refact, Persimmon 8B, MPT, Bloom select llama inferece in model settings. Sampling methods * Temperature (temp, tok-k, top-p) * Tail Free Sampling (TFS) * Locally Typical Sampling * Mirostat * Greedy * Grammar