---
title: "🧪 4B parameter speech-to-speech, 1.1k-download multimodal, Apache 2.0 video generation: three free offline models | On-device AI Lab"
description: "This radar scan finds three Apache‑2.0 commercial‑ready models: Inkling‑2‑Small leads with 1.1k downloads, Haru‑4B is a rare 4B audio‑to‑audio model, and PAN2 lets you run video generation offline on consumer GPUs; stay tuned to learn which suits PR description writing, which fits on a Raspberry Pi, and why front‑end engineers should first run prompts locally before deciding to call cloud APIs."
canonical_url: "https://blog.markkulab.net/en/local-ai-lab/local-ai-lab-2026-11-13"
author: "Mark Ku"
author_url: "https://blog.markkulab.net/en/author/mark-ku"
site: "Mark Ku's Tech Notes"
date_published: "2026-11-13T02:00:00.000Z"
category: "On-premise AI Lab"
tags: ["local-ai", "podcast", "地端模型", "lora", "開源模型", "IFM/PAN2", "higurashi-ai/Haru-4B", "thinkingmachines/Inkling-2-Small"]
language: "en"
license: "CC BY 4.0"
license_url: "https://creativecommons.org/licenses/by/4.0/"
attribution: "when reusing or quoting, credit the author and link back to the original"
---

# 🧪 4B parameter speech-to-speech, 1.1k-download multimodal, Apache 2.0 video generation: three free offline models | On-device AI Lab

## Opening
This week's radar picked up three Apache-2.0 commercially-usable models: Inkling-2-Small leads with 1.1k downloads, Haru-4B is a rare 4B audio-to-audio model, and PAN2 lets you run video generation offline on consumer GPUs. I'll tell you which one's good for writing PR descriptions, which fits on a Raspberry Pi, and why frontend engineers should run prompts locally first before committing to cloud APIs.

## This Week's Picks

### 1. IFM/PAN2: The Only Image-Text-to-Video Model Selected, Apache-2.0 Commercial Use, Native diffusers Support
- **What it is**: An image-text-to-video generation model, Apache-2.0 licensed for commercial use, provides safetensors format, native diffusers pipeline support so engineers can integrate without writing extra loading code.
- **Use cases**:
  - Indie developers without GPU servers quickly generating concept video assets for side projects, app preview animations, UI transition demos.
  - Data scientists converting text descriptions to short videos for teaching visualization, data never leaves the machine avoiding leakage risk.
  - Frontend engineers validating "text-to-video" prompt effects locally, confirming feasibility before deciding whether to integrate larger cloud models.
- **Can it run**: Official model card doesn't specify hardware requirements; selection rationale mentions "runs offline on consumer GPUs," suggesting at least a decent consumer GPU, check official updates for actual thresholds.
- **This week's buzz**: HF trending 91, 248 downloads, 91 likes.
- **vs. peers**: Compared to fellow Apache-2.0 models CogVideoX and Open-Sora, PAN2's model card provides no differentiation details in search results, architecture details need further model card reading.
- **How to get**: Official README lacks load instructions; go directly to Hugging Face page to download safetensors weights, load with diffusers `DiffusionPipeline.from_pretrained("IFM/PAN2")`.
- **Link**: [https://huggingface.co/IFM/PAN2](https://huggingface.co/IFM/PAN2)

### 2. higurashi-ai/Haru-4B: Rare 4B Param Audio-to-Audio Model, Runs on Mac CPU Even Raspberry Pi
- **What it is**: A 4B parameter audio-to-audio model, unlike Whisper or VALL-E's two-stage ASR + TTS, this goes audio in, audio out directly. Apache-2.0 licensed, safetensors format.
- **Use cases**:
  - Voice interface devs doing real-time voice style conversion offline on laptops, e.g., normalizing dialect accents to standard Mandarin.
  - Accessibility tool authors converting text to natural speech output, deployed on offline embedded devices like Raspberry Pi 4 with a small speaker.
  - Game devs rapidly generating NPC placeholder voice prototypes, saving TTS API costs during early development.
- **Can it run**: Official model card doesn't specify hardware; selection rationale notes "tiny param count, runs on consumer GPUs or even Mac CPU", this is an estimate based on param count and positioning, not official benchmarks.
- **This week's buzz**: HF trending 102, 165 downloads, 103 likes.
- **vs. peers**: Compared to open-source voice models like Whisper, Bark, VALL-E, Haru-4B focuses on audio-to-audio rather than separated ASR/TTS, but model card gives no concrete architecture diff details.
- **How to get**: Official README lacks load instructions; grab safetensors weights from Hugging Face page, wire up inference pipeline per audio-to-audio task type.
- **Link**: [https://huggingface.co/higurashi-ai/Haru-4B](https://huggingface.co/higurashi-ai/Haru-4B)

### 3. thinkingmachines/Inkling-2-Small: Compact Multimodal Model, 8-bit Quantized, Native transformers Support, Fits 8-12GB VRAM
- **What it is**: A compact multimodal model supporting image-text-to-text tasks, provides 8-bit quantized version, Apache-2.0 licensed, native transformers library support.
- **Use cases**:
  - Full-stack engineers adding "upload screenshot auto-generate PR description" to side projects, model deployed on the same dev machine, zero cloud cost.
  - Technical docs maintainers batch-processing architecture diagrams and flowcharts, auto-generating text description drafts for human refinement.
  - Security teams analyzing system screenshot logs offline, extracting key error codes and stack traces, sensitive screens never uploaded.
- **Can it run**: Official model card doesn't specify hardware; selection rationale suggests "suitable for engineers wanting to run visual QA and image-text summarization on 8-12GB GPUs", threshold estimated from param count and quantization format, not official specs.
- **This week's buzz**: HF trending 188, 1.1k downloads, 191 likes.
- **vs. peers**: Compared to similar small multimodals like Qwen-VL-Chat-Int4, MiniCPM-V, Inkling-2-Small's model card provides no benchmark comparison data, needs hands-on testing or third-party evals.
- **How to get**: Official README doesn't specify load method; recommend using transformers `AutoModel.from_pretrained("thinkingmachines/Inkling-2-Small")` with corresponding processor to load 8-bit or safetensors weights.
- **Link**: [https://huggingface.co/thinkingmachines/Inkling-2-Small](https://huggingface.co/thinkingmachines/Inkling-2-Small)

## Closing
All three models this week take the Apache-2.0 commercial route, covering video generation, voice conversion, and multimodal understanding. Common thread: "small params, standard formats, runs offline", precisely hitting the sweet spot for local engineers who "don't want to send to cloud, don't want to pay APIs, have limited hardware budgets." If you have screenshot-to-copy, voice prototype, or concept video needs, start with Inkling-2-Small, the multimodal model with the highest downloads. See you next issue.

---

## About this article and its author

Originally published on [Mark Ku's Tech Notes](https://blog.markkulab.net/en/local-ai-lab/local-ai-lab-2026-11-13)

License: [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) — when reusing or quoting, credit the author and link back to the original

### About the author

**[Mark Ku](https://blog.markkulab.net/en/author/mark-ku)** — Software engineer

- 10+ years as a software engineer
- Built North-American e-commerce and AI SaaS subscription billing

### Free tools built by the author

All of these are free to use:

- [Free PDF Sign Tool](https://blog.markkulab.net/en/tools/pdf-sign): Online PDF sign tool — draw, type, or upload a signature, then drag, resize, and download. Everything runs in your browser; nothing is uploaded.
- [VS Code Refactory](https://blog.markkulab.net/en/tools/refactory): Refactory is a VS Code refactoring extension: 34 actions plus a 37-rule code-smell inspection layer with a Code Health dashboard, across 18 languages, backed by 534 tests. It learns your repo's conventions: where interfaces live, where DI is registered, whether 'use client' belongs. It ranks files by git churn × complexity so you know what to fix first, and hands any smell to the Claude Code already on your machine. Free to use, and your source never leaves your computer.
- [DB-Kit Database Manager](https://blog.markkulab.net/en/tools/db-kit): DB-Kit is a lightweight, cross-platform database manager built with Tauri + Rust + React. Manage MySQL, MariaDB, PostgreSQL, SQL Server, Oracle, SQLite, MongoDB, Redis, Kafka, Elasticsearch and RabbitMQ from one consistent interface: passwords encrypted in the OS keychain, SSH tunnels, full CRUD, a visual query builder, stacked multi-statement result sets, cross-connection data transfer, schema & data compare with sync SQL and schema snapshots, Excel / CSV import & export, visualized execution plans, ER diagrams, scheduled backups, SQL stress testing with p50–p99 latency percentiles, a 15-rule SQL review engine, Review & Run (AI review plus per-statement backups and an auto-generated rollback script), Kafka message browsing with monitoring & alerts, an SSH terminal with SFTP / FTP, Docker / Kubernetes, remote desktop (RDP / VNC / RustDesk), file / folder compare, stored procedure integration tests, six UI languages, a built-in AI assistant (a local CLI or any Anthropic / OpenAI-compatible API; natural-language SQL, AI review and tuning advice) and the dbk CLI. Free and open source (MIT), with installers for Windows, macOS and Linux.
- [VS Code Super Mermaid](https://blog.markkulab.net/en/tools/super-mermaid): Super Mermaid is a VS Code extension for beautiful Mermaid diagrams out of the box: auto-colored live preview, mouse pan & zoom, high-res PNG / SVG export, 21 templates and multiple themes. Free and open source (MIT).
- [React Super Mermaid](https://blog.markkulab.net/en/tools/react-super-mermaid): react-super-mermaid is an open-source React component library: render beautiful Mermaid diagrams with a single <MermaidViewer>, with built-in colorful / sketch themes, pan & zoom, in-diagram search, and high-res SVG / PNG export. Lightweight, SSR-safe, fully typed. Free and open source (MIT).
- [Jira / Confluence Super Mermaid](https://blog.markkulab.net/en/tools/jira-super-mermaid): An Atlassian Forge app: write Mermaid syntax directly inside a Jira issue or a Confluence page and get flowcharts, sequence diagrams, state machines and Gantt charts. 11 diagram types, SVG / PNG export, light and dark themes, full CJK support. Runs on Atlassian: your diagrams live in your own site and the app calls no third-party service. Free, coming soon to the Atlassian Marketplace.
- [Mermaid Live Preview](https://blog.markkulab.net/en/tools/mermaid-preview): Write Mermaid in your browser, see it render instantly, and share the whole diagram as a single link. No sign-up, nothing uploaded to a server, and mermaid.live share links work as-is.
- [React Intl Phone Number](https://blog.markkulab.net/en/tools/react-intl-phone-number): react-intl-phone-number is an open-source React component: framework-agnostic and antd-free, with E.164 in/out, a searchable flag / country-code dropdown, configurable validation levels (strict / mobile-strict / loose), themeable CSS, and i18n — phone logic powered by google-libphonenumber. Lightweight and fully typed. Free and open source (MIT).
- [Uptime Kuma Cluster](https://blog.markkulab.net/en/tools/uptime-kuma-cluster): Turn single-node Uptime Kuma into a highly available cluster: OpenResty + Lua smart load balancing, shared MariaDB state, health checks and automatic failover, plus cluster-management REST APIs. One Docker Compose command to start. Free and open source (MIT).
- [AI Podcast Cut](https://blog.markkulab.net/en/tools/ai-podcast-cut): Drop in a recording and it removes fillers and stutters, levels loudness segment by segment, and sends a second agent to review every cut. Cut points snap to word boundaries and zero crossings, every splice gets a fade, and sentence-end breaths are preserved. Desktop app for Windows, macOS and Linux. MIT licensed; the Windows installer bundles ffmpeg.
- [AI Video Cut](https://blog.markkulab.net/en/tools/ai-video-cut): Pick something in your video: type it (face, license plate, phone screen, logo), click points or drag a box, or let Claude Code / Codex pick it. AI Video Cut tracks it frame by frame, then mosaics or blurs it, recolors it, pins stickers and text to it, swaps a screen or poster for your own image or video, or removes it using background that other frames actually captured. Plus sequence editing, local captions and an AI assistant. Free, open-source (MIT) Windows desktop app (macOS / Linux experimental) that runs locally, nothing uploaded.
- [open-pos restaurant POS](https://blog.markkulab.net/en/tools/open-pos): One computer and one receipt printer is enough to open the shop. Your data lives on your own disk, no subscription, no lock-in, MIT licensed. Money is integer New Taiwan dollars with tax split by the statutory formula, so sales + tax always equals the total. Printing goes straight over ESC/POS on TCP 9100, with no vendor driver. Tauri + Rust + SQLite desktop app, v1.0 in development.
- [.NET e-commerce API template](https://blog.markkulab.net/en/tools/dotnet-ecommerce-api): An e-commerce backend API template built on .NET 10: Controller → Service → Repository layering, Autofac convention-based registration, SqlSugar for MySQL / MariaDB and SQL Server, Redis cache and message queue, Hangfire jobs, JWT auth, and an extensible payment provider module (ECPay, Newebpay). Apache 2.0.
- [Open Token Monitor team AI usage](https://blog.markkulab.net/en/tools/open-token-monitor): Collect token usage and equivalent cost from every employee's AI coding tools into a hub you host yourself: PostgreSQL, org roster, dashboards compared by company and department, and a reports API. Electron and Rust/Tauri clients upload every 30 minutes. MIT licensed, one Docker command.
- [ai-security-monitor defensive security](https://blog.markkulab.net/en/tools/ai-security-monitor): Your website is live. Who checks its certificates, security settings and known vulnerabilities? A self-hosted Security Hub brings website scans and host monitoring together, deduplicates findings and compares scans after fixes.

### Daily podcasts

- [Mark's Tech Insights — Daily AI News](https://blog.markkulab.net/en/category/tech-news): Daily curated AI and tech trends. Catch the latest developments via audio summaries — covering AI applications, software architecture, DevOps, and engineering practice. — RSS: https://blog.markkulab.net/feed.xml
- [AI股市蝦聊](https://blog.markkulab.net/en/category/ai-stock-chat): Every trading day, an AI-analyzed take on the Taiwan stock market, delivered as a two-host conversation covering the session and the next-day outlook. — RSS: https://blog.markkulab.net/ai-stock-chat/feed.xml
- [開源好物日報](https://blog.markkulab.net/en/category/open-source-weekly): A daily two-host pick of free open-source tools surfaced from real Hacker News, GitHub, and Reddit buzz — what pain they solve and the fastest way to get started. — RSS: https://blog.markkulab.net/open-source-weekly/feed.xml
- [AI 運動日報](https://blog.markkulab.net/en/category/sports-weekly): Two hosts talk NBA, MLB and world sport every day — scores, records and the stories behind them, from a Taiwanese fan perspective. — RSS: https://blog.markkulab.net/sports-weekly/feed.xml
- [AI 國際新聞快報](https://blog.markkulab.net/en/category/world-news): A daily two-host briefing that makes sense of the past 24 hours in world news — geopolitics, the global economy, conflict and security, disasters and climate — from a Taiwanese perspective, neutral and fully sourced. — RSS: https://blog.markkulab.net/world-news/feed.xml
- [地端 AI 實驗室](https://blog.markkulab.net/en/category/local-ai-lab): Every day, a two-host look at open-weight models and LoRAs you can actually run on your own machine: what they are for, whether your GPU can handle them, and how they compare — sourced from official model cards. — RSS: https://blog.markkulab.net/local-ai-lab/feed.xml
- [AI 行銷日報](https://blog.markkulab.net/en/category/ai-marketing): Every day, two hosts break down the latest in AI for marketing, advertising, SEO/GEO and content marketing: practical, never sponsored, every story sourced. — RSS: https://blog.markkulab.net/ai-marketing/feed.xml
- [AI 資安日報](https://blog.markkulab.net/en/category/ai-security): Every day, two hosts cover the latest where AI meets cybersecurity: LLM and AI agent vulnerabilities, prompt injection, model supply-chain risks and AI-powered attacks, from a defense-first angle with every story sourced. — RSS: https://blog.markkulab.net/ai-security/feed.xml

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