#Software Ollama

I always wondered which Ollama model my machine could run properly. Now you can easily do that using llms-checker It’s a CLI tool that checks your system specs and recommends the best models to run on Ollama based on what your machine https://github.com/Pavelevich/llm-checker npm install -g llm-checker. #ai #artificialintelligence #futuretech #innovation #aicommunity

Run LLMs Locally with Ollama. #codetocyber #educationalpurposesonly #ethicalhacking #llm

You don’t need expensive APIs to run AI anymore. With Ollama you can run models like Llama 3 directly on your laptop. No API keys. No cloud. Just one command. Every AI engineer should know this. 👀 #Ollama #LocalAI #AIEngineering #LLM #Developers

DeepSeek running on Ollama 💻🔥 Fully local AI. No API cost. No data leak. Full control. DeepSeek + Ollama = Offline AI Beast 🚀 Ab AI ke liye cloud dependency khatam. Laptop pe hi powerful reasoning model run karo. Privacy bhi safe. Pocket bhi safe 😉 #DeepSeek #Ollama #LocalAI #OfflineAI #AIModels #GenerativeAI #LLM #OpenSourceAI #AIforDevelopers #BackendDeveloper #CodingLife #SoftwareEngineer #Programming #TechReels #IndianDevelopers

Fine-tune 100+ LLMs directly from a UI without any code! 💻 (100% open-source with 68K+ stars) LLaMA-Factory lets you train and fine-tune open-source LLMs and VLMs without writing any code. It supports: ✅ Almost all popular models (LLaMA, Mistral, DeepSeek, Gemma, etc.) ✅ Efficient fine-tuning (LoRA, QLoRA, DoRA, LoRA+, etc.) ✅ Integrated methods (PPO, DPO, KTO, ORPO, etc.) ✅ Practical tricks (Flash Attention, RoPE scaling, etc.) ✅ Experiment monitoring (TensorBoard, W&B, MLflow, etc.) ✅ Several downstream tasks (Tool use, multimodal understanding, etc.) Perfect for researchers and engineers who want to experiment with fine-tuning without diving into code complexity. GitHub repo in the comments! 👉 Over to you: Have you fine-tuned any LLMs yet? #ai #llm #finetuning

Run your own AI locally. No cloud. No limits. If you know Linux, running AI locally becomes simple. In this reel I’m using Ollama to run a model directly on my system — no API key, no cloud setup. This is where Linux skills start becoming powerful. Full video on YouTube → deeper walkthrough + explanation. Save this if you’re serious about backend + AI. #ollama #python #ai #devwaymahab #llm

Get instant clarity on which AI models your laptop can run. This free open-source tool scans your system and provides accurate results for LLMs. A must-have for developers using local AI, Ollama, or vision-language models. Save for later 👇 #AItools #Developers #OpenSource #llm {local ai tools, run llm locally, ollama setup}

Train less. Specialize more. Fine-tune your LLM and run it locally with Ollama. 🔥 Fine-tuning an LLM in Python and running it locally with Ollama is one of the most practical AI workflows right now. 🚀 In this reel, I explain: ✅ what fine-tuning actually means ✅ why data quality matters the most ✅ how to train using Colab + Unsloth ✅ how to export to GGUF and run in Ollama locally If you’re building domain-specific AI tools, this is a must-learn workflow. Comment “FT” and I’ll make Part 2 on dataset formatting + common mistakes. 🔥 #LLM #Ollama #Python #finetuning

LOCAL LLM. I notice a 15b parameter local model's accurate performance of complicated instructions goes way up with a larger "Evaluation Batch Size". LM Studio has an option in its model setting's interface. I cranked batch size up to 6,000.. #localAI #LMstudio #llm #localLLM #ai

𝐀 𝐪𝐮𝐢𝐜𝐤 𝐥𝐨𝐨𝐤 𝐚𝐭 𝐡𝐨𝐰 𝐏𝐫𝐨𝐦𝐩𝐭𝐥𝐲 𝐰𝐨𝐫𝐤𝐬. From your app to the model, with optimization happening in between. Watch the full flow. #AIInfrastructure #DeveloperTools #GenerativeAI #LLMOps

LLM LOCAL AI. I noticed toggling "Offload KV Cache to GPU Memory" to OFF causes my computer to load larger context sizes on my largest models much, much faster. From infeasible to load to feasible, in fact. (using LM Studio). See video. #localAI #LMstudio #llm #localLLM #ai

llmfit 🚨 Stop guessing which LLM your machine can run. llmfit scans your RAM, CPU & GPU and scores models based on real compatibility. No more: Download → Crash → Delete → Repeat ❌ Perfect for: • Local AI dev • On-prem deployments • Hardware planning • Students learning LLMs Smarter local AI starts here. 🔥 #AI #LLM #OpenSource #MachineLearning #GenAI