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🔄 In a Training Loop

Mohammad Bagher Bidram

Bidram
3 7 55
fineset-io's profile picture
·

AI & ML interests

Programming, Computer, Math (A bit), SLMs (especially ones I can run on my GPU)

Recent Activity

liked a Space 1 day ago
elseodelasgalletas/gemma4-e2b-qat
reacted to IsValorum's post with 🔥 1 day ago
Introducing V-Agent: a local-first AI agent for Windows, built by a quantizer, for quants VAL-APEX-Mini/Nano/Micro Plus builds get more quality out of consumer GPUs. V-Agent does the same on the app side: right engine for your card, right quant, real tools without giving away your PC. Free, open source (Apache-2.0), no account, no telemetry, everything on 127.0.0.1. 🧠 Right engine for your GPU - Detects your hardware and installs the official llama.cpp build for it (CUDA, Vulkan for AMD / Intel Arc, or CPU), SHA-256 verified - Strata engines or any OpenAI / Claude-compatible API too - Live tok/s, context, VRAM and RAM 🔎 Hugging Face built in - Browse GGUF repos with stats and the rendered model card - Each quant shows if it fits your GPU, needs GPU + RAM, or is too big - Resumable, SHA-256 verified downloads, added automatically - Import LM Studio and Unsloth Studio models with their sampling, context, KV cache and chat template - APEX-I / VAL-APEX files get their chat template from the official repo 🛠️ Real tools, clear limits - Files with undo, commands, web search, an autonomous browser, HTTP and any MCP server - Each chat works in an isolated folder; full-PC access is opt-in and actions can require approval - Code is checked on save; HTML pages run in a headless browser and errors go back to the model 🔐 Signed updates: small fixes apply themselves, new versions install only when you say so. Windows 10/11 · 5 languages · early release, feedback welcome. ⚠️ Not code-signed yet, so SmartScreen asks first: More info → Run anyway. https://github.com/IsValorum/V-Agent Which model would you try first? 👇 🔐 Signed updates - Installers and small "
liked a model 2 days ago
axAilotl/qwen-concept-27b-GGUF
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