New Tutorial on LLM Quantization w/ QLoRA, GPTQ and Llamacpp, LLama 2
Рет қаралды 14,709
10 ай бұрынLLM Quantization: GPTQ - AutoGPTQ
llama.cpp - ggml.c - GGUL - C++
Compare to HF transformers in 4-bit quantization.
Download Web UI wrappers for your heavily quantized LLM to your local machine (PC, Linux, Apple).
LLM on Apple Hardware, w/ M1, M2 or M3 chip.
Run inference of your LLMs on your local PC, with heavy quantization applied.
Plus: 8 Web UI for GTPQ, llama.cpp or AutoGPTQ, exLLama or GGUF.c
koboldcpp
oobabooga text-generation-webui
ctransformers
lmstudio.ai/
github.com/marella/ctransformers
github.com/ggerganov/ggml
github.com/rustformers/llm/bl...
huggingface.co/TheBloke/Llama...
github.com/PanQiWei/AutoGPTQ
cloud.google.com/model-garden
huggingface.co/autotrain
h2o.ai/platform/ai-cloud/make...
#quantization
#ai
#webui
@jacehua7334 10 ай бұрын
Have been busy with work but it's so great on the weekend to see absolute great content from you like always!
@ViktorFerenczi 10 ай бұрын
Excellent video, as always! Thank you. - It would be nice to have a video comparing AWQ with the quantization methods discussed here.
@code4AI 10 ай бұрын
Activation-aware Weight Quantization (AWQ)? Great idea!
@hoangnam6275 9 ай бұрын
U r the best, best content everyweek
@ChrisBrock-mh8qq 5 ай бұрын
Really Great Videos!
@ctejada-0 10 ай бұрын
Happy to see llama.cpp taking off. Since the beginning of this new wave of AI as a consequence of LLM advancements I've been rooting for llama.cpp as it is (in my opinion) the best approach to enable everyone to have their own LLM and enable a plethora of software solutions (open and closed source) that were never possible before. Thank you for this video focused on it.
@code4AI 10 ай бұрын
Thank you for your comment. Maybe I'll do another video on the latest llamacpp ...
@henkhbit5748 9 ай бұрын
Great explanation of the different quatizations methods. Would be nice if we can compare for example llma2 7b models: normal, qlora 4b, qptq 4b, gguf 4b format with different inference questions with an without RAG...
@amparoconsuelo9451 10 ай бұрын
Can a subsequent SFT and RTHF with different, additional or lesser contents change the character, improve, or degrade a GPT model?
@akashkarnatak3014 10 ай бұрын
Okay, so gqtq is a quantization technique and gguf is a format to store quantized weights, can't we quantize a model using gptq algorithm and store it in gguf format and run using llama.cpp?
@junzhengge407 4 ай бұрын
I have the same question😢 need help
@yusufkemaldemir9393 9 ай бұрын
Thanks. Does llama2 cpp 4 bit quantized provide back propagation while running it on m2 MacBook? If yes, do you mind provide ref notebook?
@surajrajendran6528 4 ай бұрын
Quantised models cannot be back-propagated. All training should be done in floating point precision.
@AK-ox3mv 4 ай бұрын
What does k mean in q4_km? What's difference between q4 and 4bit? Are they same thing?
@spencerfunk6697 5 ай бұрын
need a tutorial on quantizing vision models
@devyanshrastogi 8 ай бұрын
Trust me after 20 seconds of your intro I was about to skip this video 🤣🤣 the intro was terrific (Literally).
@gileneusz 10 ай бұрын
0:08 oh... so maybe I'll watch your next video, sorry....
@code4AI 10 ай бұрын
You are the lucky one ...
@gileneusz 10 ай бұрын
@@code4AI no, no that's just my dream 😢
@ernestoflores3873 2 ай бұрын
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