in Video

New Tutorial on LLM Quantization w/ QLoRA, GPTQ and Llamacpp, LLama 2



LLM Quantization: GPTQ – AutoGPTQ
llama.cpp – ggml.c – GGUL – C++
Examine to HF transformers in 4-bit quantization.

Obtain Internet UI wrappers on your closely quantized LLM to your native machine (PC, Linux, Apple).
LLM on Apple {Hardware}, w/ M1, M2 or M3 chip.
Run inference of your LLMs in your native PC, with heavy quantization utilized.

Plus: 8 Internet UI for GTPQ, llama.cpp or AutoGPTQ, exLLama or GGUF.c
koboldcpp
oobabooga text-generation-webui
ctransformers

https://lmstudio.ai/
https://github.com/marella/ctransformers
https://github.com/ggerganov/ggml
https://github.com/rustformers/llm/blob/main/crates/ggml/README.md
https://huggingface.co/TheBloke/Llama-2-13B-chat-GGML/blob/main/README.md
https://github.com/PanQiWei/AutoGPTQ
https://cloud.google.com/model-garden
https://huggingface.co/autotrain
https://h2o.ai/platform/ai-cloud/make/h2o-wave/

#quantization
#ai
#webui

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