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He is risen… and so is your data game this Easter. Stay connected all week with #Gaga4Dayzzzz UGX 10,000 8GB + 20 MTN mins UGX 7,000 5GB + 20 MTN mins (Valid till Thursday Dial *100*0# or MyMTN App to activate.

10,432 Aufrufe • vor 3 Monaten •via X (Twitter)

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🔥Received Taj Epicure Membership also with Amex Reserve Credit Card valid for 1-year. 👉Earlier, had received Accor ALL membership for 1-year 👉Both Accor ALL and Taj Epicure Memberships are auto-renewed every year till the time your Amex Reserve Credit Card is active. 🔥Amex Reserve Credit Card is the cheapest way to get Accor Explorer Membership. 👉Amex Reserve Credit Card Fee: Rs.11,800 including GST 👉Joining Benefits: 15000 Amex points worth Rs.7,500 or more (11,000 points only if you don’t apply using a referral link.) 👉Plus you get Accor Explorer, Taj Epicure abd Eazydiner Prime memberships every year ✳️ In case, you want to Apply Amex Reserve Credit Card, here is my Referral Link to Apply: 👉 Accor Explorer is a must-have membership if you stay in Accor properties for 5 or more nights in a year. Checkout the benefits you get with Accor Explorer membership 👇👇👇 🏨 Accor Explorer Membership Benefits (FREE with Amex Reserve) Valid across ibis, Novotel, Swissotel, Sofitel and 39+ Accor brands worldwide 🌍 🍽️ Dining Benefits ✅ Flat 30% OFF on Food ✅ 15% OFF on Beverages • Valid across ALL Accor hotels in Asia Pacific • One of the most value-for-money hotel dining memberships 😊 🛏️ Stay Benefits ✅ 15% Discount on Room Rates – Worldwide ✅ Bonus Accor Reward Points on hotel spends ✅ Complimentary Alcoholic or Non-Alcoholic Drinks 🍷🥤for every person once per stay ✅ Late Checkout (subject to availability) ⭐ Accor Loyalty Status ✅ Instant Accor Silver Status • Comes with 20 Status Nights • May get additional 7 bonus nights under ongoing offer • With ~30 status nights, upgrade to Gold Status ✨ Gold Status Benefits: • Higher chances of room upgrades • Priority services • Better overall stay experience (Silver members may also receive upgrades subject to availability.)

SpendWisely

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you're paying $20/mo for something your $500 GPU can already do. Gemma 4 26B A4B QAT MoE + Hermes Agent running on a single RTX 4060 (8GB VRAM). Built a vision capable, 100% free, 100% local, private AI assistant that lives in my Chrome browser. No API keys. No cloud. No subscriptions. 100% vibe coded. 0% handholding. It has full context of whatever's on my screen can answer questions, summarize pages, extract data, and see images. Same local model handles everything, no external calls, ever. keep reading for the model and hermes agent tips i learnt while building this locally. Here's the exact setup for anyone running local LLMs on 6-8 GB VRAM: llama.cpp server flags (on my NVIDIA RTX 4060 8gb VRAM): -m gemma-4-26B-A4B-it-qat-UD-Q4_K_XL.gguf --cache-type-k q8_0 --cache-type-v q8_0 -c 150000 --port 8080 Throughput with quantization: Prefill: 200-250 tokens/sec Decode: 20-25 tokens/sec reduce context if oom on 6 gb vram card. Key learnings: - Quantize KV cache to q8 for faster prefill/decode. Prefill goes from 100-150 (unquantized) to 200-250 tok/s (q8). - But watch out, once actual context grows past ~50k tokens on high entropy workloads, q8 KV quantization can cause hallucinations. Low entropy workloads are mostly unaffected. If you see it happening, drop the quantization. This is common across all local models. - In Hermes Agent settings -> Memory & Context, bump compression threshold from default 0.5 to 0.7. Default triggers way too frequent context compression and eats time. Up next: add persistent memory, web search, tool calling, streaming output and whatever you suggest. Running a 26B MoE with vision + 150k context window on 8GB VRAM would've sounded impossible 6 months ago. Works the same on the NVIDIA RTX 3060 Ti, 3070, 4060 Ti, 5060, 2080, or any 8GB card. VRAM is the only requirement. Local AI agents are closer than people think. You just need to know where the knobs are. Model's Unsloth quant hugging face link in the comments. Have you tried Hermes agent by Nous Research yet? What are you building with local LLMs? Drop it below, let's see what this community is shipping.

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