#jupyter_notebook#chatglm#chatglm3#gemma_2b_it#glm_4#internlm2#llama3#llm#lora#minicpm#q_wen#qwen#qwen1_5#qwen2
This guide helps beginners set up and use open-source large language models (LLMs) on Linux or cloud platforms like AutoDL, with step-by-step instructions for environment setup, model deployment, and fine-tuning for models such as LLaMA, ChatGLM, and InternLM[2][4][5]. It covers everything from basic installation to advanced techniques like LoRA and distributed fine-tuning, and supports integration with tools like LangChain and online demo deployment. The main benefit is making powerful AI models accessible and easy to use for students, researchers, and anyone interested in experimenting with or customizing LLMs for their own projects[2][4][5].
https://github.com/datawhalechina/self-llm
Choc Chip Banana Bread ✨🍌🤎
Ingredients:
* 3 large ripe bananas (360–380 g)
* 130 g unsalted butter (will reduce to \~115 g once browned)
* 180 g dark brown sugar (+ 1–2 tbsp for topping)
* 2 large eggs
* 250 g plain flour
* 1 tsp baking soda
* ½ tsp salt
* ½ tsp cinnamon
* 70–100 g dark chocolate, chopped
* Optional: chopped nuts
#dinner
@dishes
My Kind of Girl Dinner 😮💨🍚🥒
Ingredients:
For the salmon:
* 2 salmon fillets (skin removed, cut into cubes)
* 2 tbsp soy sauce
* 1 tbsp oyster sauce
* 1 tsp brown sugar
* 2 tsp minced garlic
* 1 tbsp sriracha
* ¼ tsp chili flakes
For the rice & toppings:
* 100 g sushi rice (cooked)
* 1 tsp apple cider vinegar
* ½ tsp salt
* ½ tsp sugar
* Pinch of chili flakes
* ¼ cucumber, thinly sliced
* ¼ small onion, thinly sliced
* Handful of edamame (cooked)
* Black & white sesame seeds, for topping
#dinner
@dishes