GitHub - okuvshynov/slowllama: Finetune llama2-70b and codellama on MacBook Air without quantization
eneral-purpose models
- 1.1B: TinyDolphin 2.8 1.1B. Takes about ~700MB RAM and tested on my Pi 4 with 2 gigs of RAM. Hallucinates a lot, but works for basic conversation.
- 2.7B: Dolphin 2.6 Phi-2. Takes over ~2GB RAM and tested on my 3GB 32-bit phone via llama.cpp on Termux.
- 7B: Nous Hermes Mistral 7B DPO. Takes about ~4-5GB RAM depending on contex
r/LocalLLaMA - Reddit
OpenAI Whisper - llamafile
Whisperfile is a high-performance implementation of OpenAI's
Whisper created by Mozilla Ocho as
part of the llamafile
project, based on the
whisper.cpp software written
by Georgi Gerganov, et al.
Model creator: OpenAI
Original models: openai/whisper-release
Origin of quantized weights: ggerganov/whisper.cpp
The model is packaged in... See more
Whisperfile is a high-performance implementation of OpenAI's
Whisper created by Mozilla Ocho as
part of the llamafile
project, based on the
whisper.cpp software written
by Georgi Gerganov, et al.
Model creator: OpenAI
Original models: openai/whisper-release
Origin of quantized weights: ggerganov/whisper.cpp
The model is packaged in... See more
Mozilla/whisperfile · Hugging Face
LLM-PowerHouse: A Curated Guide for Large Language Models with Custom Training and Inferencing
Welcome to LLM-PowerHouse, your ultimate resource for unleashing the full potential of Large Language Models (LLMs) with custom training and inferencing. This GitHub repository is a comprehensive and curated guide designed to empower developers, researche... See more
Welcome to LLM-PowerHouse, your ultimate resource for unleashing the full potential of Large Language Models (LLMs) with custom training and inferencing. This GitHub repository is a comprehensive and curated guide designed to empower developers, researche... See more
ghimiresunil • GitHub - ghimiresunil/LLM-PowerHouse-A-Curated-Guide-for-Large-Language-Models-with-Custom-Training-and-Inferencing: LLM-PowerHouse: Unleash LLMs' potential through curated tutorials, best practices, and ready-to-use code for custom training and inferencing.
GitHub - lima-vm/lima: Linux virtual machines, with a focus on running containers
AkihiroSudagithub.com