--- title: BatiAI emoji: "\U0001F34A" colorFrom: indigo colorTo: purple --- # BatiAI — The Frontier, On Your Mac 🍎

> **Kimi K2.6 — 1T MoE, SWE-Bench Pro 58.6** (beats GPT-5.4 xhigh, Claude Opus 4.6) — running locally on M3 Ultra. > **Gemma 4 E4B — 57 tokens/sec** on a 16GB Mac mini M4. > **No API costs. No rate limits. No cloud.** We quantize popular open-weight models for **every Mac** — direct from official publisher weights, calibrated with imatrix, verified on real hardware, signed with provenance metadata. --- ## ⚡ Quick Start ```bash # 16GB Mac mini M4 — entry, 57 t/s ollama pull batiai/gemma4-e4b:q4 # 512GB M3 Ultra — 1T MoE frontier ollama pull batiai/kimi-k2.6:iq4 ``` --- ## Pick Your Mac — Real Hardware Benchmarks Every speed measured on actual hardware. Full reports in each model card. We continuously add new hardware as it ships. | Your Mac | Best Pick | Size | Speed | Use Case | |---|---|---|---|---| | **Mac mini M4 16GB** | `batiai/gemma4-e4b:q4` | 5.0 GB | **57 t/s** | Daily chat, balanced | | MacBook Air 16GB | `batiai/qwen3.5-9b:q4` | 5.2 GB | 12.5 t/s | Tool calling, JSON | | Mac mini M4 Pro 24GB | `batiai/gemma4-26b:iq4` | 15 GB | **85 t/s** | MoE, larger context | | MacBook Pro 48GB | `batiai/qwen3.6-35b:iq4` | 22 GB | ~30 t/s | Tools + thinking, MoE | | MacBook Pro 96GB | `batiai/qwen3.6-35b:q6` | 29 GB | ~27 t/s | Top quality chat | | **MacBook Pro M4 Max 128GB** | `batiai/minimax-m2.7:iq3` | 82 GB | **36.7 t/s** | 229B Dense — frontier class | | **Mac Studio M3 Ultra 512GB** | `batiai/kimi-k2.6:iq4` | 509 GB | — | 1T MoE, SWE-Bench Pro 58.6 | > Real measurements, not estimates. Numbers expand as benchmarks come in. Browse the **Collections below ↓** for series-by-series lineup. --- ## 🎯 Why BatiAI?

### 🔒 Direct from Source Quantized from the publisher's official FP8/BF16 weights — never re-quantized from third-party GGUFs. Every file signed `general.author=BatiAI` + `general.url=https://flow.bati.ai` so you always know where it came from.	### 🍎 Verified on Real Macs Tested on Mac mini M4 16GB + MacBook Pro M4 Max 128GB. Korean validation, tool-call JSON, 200-token throughput — measured, reproducible, documented in each model card.
### ⚡ imatrix-Calibrated Every model uses importance-matrix calibration with wikitext-2. Aggressive IQ3_XXS keeps quality where plain Q3_K_M visibly degrades.	### 🚀 Frontier-Capable We handle 1T MoE (Kimi K2.6) and 229B Dense (MiniMax M2.7). Most providers stop at 70B — we have the storage, pipeline, and experience to go further.

--- ## 🧰 Built for Real Mac Users | | | |---|---| | [**BatiFlow**](https://flow.bati.ai) | **5MB** native macOS app. Connects BatiAI models to **60+ tools** — KakaoTalk, iMessage, Slack, Calendar, Notes, Chrome, file system, browser. Free. Unlimited. 100% private. Even drives your Mac via Telegram / Discord / Slack bots. | | [**Bati CIS**](https://cis.bati.ai) | K-Beauty Commerce Intelligence — settlement processing **3 days → 3 hours**, **42+ marketplaces**. Trusted by **COSRX**, **Pharma Research (Rejuran)**. Revenue Anomaly · Repurchase Cohort · Marketing Budget Optimizer. | ---

📧 jk@bati.ai (enterprise) · 💬 GitHub Issues · 🌐 bati.ai

--- *Private by default · On-device first · Verified every step.*

### 🔒 Direct from Source Quantized from the publisher's official FP8/BF16 weights — never re-quantized from third-party GGUFs. Every file signed `general.author=BatiAI` + `general.url=https://flow.bati.ai` so you always know where it came from.	### 🍎 Verified on Real Macs Tested on Mac mini M4 16GB + MacBook Pro M4 Max 128GB. Korean validation, tool-call JSON, 200-token throughput — measured, reproducible, documented in each model card.
### ⚡ imatrix-Calibrated Every model uses importance-matrix calibration with wikitext-2. Aggressive IQ3_XXS keeps quality where plain Q3_K_M visibly degrades.	### 🚀 Frontier-Capable We handle 1T MoE (Kimi K2.6) and 229B Dense (MiniMax M2.7). Most providers stop at 70B — we have the storage, pipeline, and experience to go further.