{
  "updated": "2026-11-11",
  "models": [
    {
      "id": "openthai2.1-bolt-e4b",
      "name": "OpenThai 2.1 Bolt E4B",
      "summary_th": "โมเดลภาษาไทยขนาดเล็กตัวใหม่ของ iApp บนฐาน NVIDIA Nemotron 3.5 Bolt E4B ตอบเร็ว เก่งภาษาไทย อ่านรูปได้ เหมาะเป็นโมเดลเริ่มต้น ใช้หน่วยความจำราว 8 GB",
      "summary_en": "iApp's new small Thai model on NVIDIA Nemotron 3.5 Bolt E4B: fast, strong in Thai, reads pictures. The model to start with; it takes about 8 GB of memory.",
      "role": "chat",
      "license": "openmdw-1.1",
      "repo": "iapp/OpenThai2.1-Nemotron-3.5-Bolt-E4B-GGUF",
      "revision": "c9c3fedf1f6b987a7f489b4a58ddaffc7c9570fa",
      "quick": true,
      "files": [
        {
          "file": "OpenThai-2.1-Bolt-E4B-Q4_K_M.gguf",
          "bytes": 5302275552,
          "sha256": "2b85ec4b3d69ada2d4ae2020a9c4ccf7887621341050e12ef15808c3e3e4e990",
          "quant": "Q4_K_M"
        },
        {
          "file": "OpenThai-2.1-Bolt-E4B-Q8_0.gguf",
          "bytes": 7972728288,
          "sha256": "fbdfda29239a9b7e6b8624bcc3361b82d5fd8bdc429f9b847ac7e51d68262fba",
          "quant": "Q8_0"
        }
      ],
      "vision": {
        "file": "mmproj-OpenThai-2.1-Bolt-E4B-F16.gguf",
        "bytes": 990372192,
        "sha256": "c60cfa0d19577f3fad2cf0706b571283dc0c64eab67d6863e30af99faf65bab4",
        "quant": "F16"
      },
      "thinking": false
    },
    {
      "id": "openthai2.1-bolt-74b",
      "name": "OpenThai 2.1 Bolt 74B-A9B",
      "summary_th": "โมเดลภาษาไทยขนาดใหญ่ตัวล่าสุดของ iApp บนฐาน NVIDIA Nemotron 3.5 Bolt 74B-A9B อ่านรูปได้ ต้องใช้หน่วยความจำราว 52 GB เหมาะกับ DGX Spark",
      "summary_en": "iApp's latest large Thai model on NVIDIA Nemotron 3.5 Bolt 74B-A9B. Reads pictures; takes about 52 GB of memory, for a machine such as the DGX Spark.",
      "role": "chat",
      "license": "openmdw-1.1",
      "repo": "iapp/OpenThai2.1-Nemotron-3.5-Bolt-74B-A9B-GGUF",
      "revision": "208cf2b754c5fa5453023dd1a0659a3a92ffb3e7",
      "quick": false,
      "files": [
        {
          "file": "openthai2.1-bolt-Q4_K_M.gguf",
          "bytes": 46423303616,
          "sha256": "09c7efa2159dee3b90be856e608650ab5b0ba75f40e0398fe8a17b42f324f307",
          "quant": "Q4_K_M"
        },
        {
          "file": "openthai2.1-bolt-Q8_0.gguf",
          "bytes": 78852777408,
          "sha256": "d6b36e2a607d3b82a313a82826c12489913b5665a5e525547dcba2d29b7022a1",
          "quant": "Q8_0"
        }
      ],
      "vision": {
        "file": "mmproj-openthai2.1-bolt-f16.gguf",
        "bytes": 1727788480,
        "sha256": "6d4b35a8bb8cfe51a1571df3c14370dbb8c34c7f453b2559c827265fde2f3bb9",
        "quant": "F16"
      },
      "thinking": false
    },
    {
      "id": "openthai2.0-27b",
      "name": "OpenThai2.0 27B",
      "summary_th": "โมเดลภาษาไทยตัวหลักของ iApp อ่านรูปและเอกสารได้ เหมาะกับงานทั่วไป เขียน สรุป แปล และใช้เครื่องมือ",
      "summary_en": "iApp's main Thai model. Reads pictures and documents; for everyday writing, summaries, translation and tool use.",
      "role": "chat",
      "license": "apache-2.0",
      "repo": "iapp/openthai2.0-qwen3.8-27b-GGUF",
      "revision": "9c79231f5896efce32658b88a98a47d869d312a5",
      "quick": false,
      "files": [
        {
          "file": "openthai2.0-qwen3.8-27b-Q2_K.gguf",
          "bytes": 10864592000,
          "sha256": "6514528fe406f9832190d2d21ee3ec4c1d8f7d3b58febb0626977f35e1ce5fc2",
          "quant": "Q2_K"
        },
        {
          "file": "openthai2.0-qwen3.8-27b-Q4_K_M.gguf",
          "bytes": 16810714240,
          "sha256": "8a53bc6612576dffeb1f988bb5eede4321b004bf23f28a6f0e6173b4a0780f52",
          "quant": "Q4_K_M"
        },
        {
          "file": "openthai2.0-qwen3.8-27b-Q8_0.gguf",
          "bytes": 29047084160,
          "sha256": "644ca645d51a1f4abd2f2eb840ea9aaabfd89fd37de1e5e4a078baaf9e3943f9",
          "quant": "Q8_0"
        }
      ],
      "vision": {
        "file": "mmproj-openthai2.0-qwen3.8-27b-F16.gguf",
        "bytes": 931145760,
        "sha256": "7eec6ab6043a1fbc5ab54fea0fe7db53f704b5e0b62c6974404f2e8bd50160de",
        "quant": "F16"
      }
    },
    {
      "id": "nemotron-3.5-bolt",
      "name": "NVIDIA Nemotron 3.5 Bolt 74B-A9B",
      "summary_th": "โมเดลของ NVIDIA ที่ตอบเร็วมากบน RTX Spark อ่านรูปได้ ต้องใช้หน่วยความจำราว 26 GB",
      "summary_en": "NVIDIA's model, very fast on the RTX Spark. Reads pictures; takes about 26 GB of memory.",
      "role": "chat",
      "license": "openmdw-1.1",
      "repo": "nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-24GB-GGUF",
      "revision": "e0fecb69cb3e5e4c5e8a056fa2aec98c78e91246",
      "quick": false,
      "files": [
        {
          "file": "NVIDIA-Nemotron-3.5-Bolt-74B-A9B-24GB.gguf",
          "bytes": 22018326528,
          "sha256": "91d63363e782c8a3d5f4be42816eba8e0d42dd2530bd07a7d0d2dc440599af75",
          "quant": null
        }
      ],
      "vision": {
        "file": "mmproj-NVIDIA-Nemotron-3.5-Bolt-74B-A9B-24GB.gguf",
        "bytes": 1733692736,
        "sha256": "0ee891eadc7bf0cae6289b249c74eb1ef420534351f6ef8b64d49f0ca6a926b0",
        "quant": null
      }
    },
    {
      "id": "openthai2.0-legal-30b",
      "name": "OpenThai2.0 Legal 30B-A3B",
      "summary_th": "โมเดลกฎหมายไทย สำหรับถามตอบและร่างเอกสารทางกฎหมาย",
      "summary_en": "The Thai legal model, for legal questions and drafting.",
      "role": "chat",
      "license": "nvidia-open-model-agreement",
      "repo": "iapp/openthai2.0-legal-thaillm-nemotron-3-nano-30b-a3b-GGUF",
      "revision": "b2607f0fb936506548489ae599eebbf3e2883ad5",
      "quick": false,
      "files": [
        {
          "file": "openthai2.0-legal-thaillm-nemotron-3-nano-30b-a3b.Q4_K_M.gguf",
          "bytes": 24515130176,
          "sha256": "0e662a952cae31618c3eb221489a59eddbcc6d6507e044cb3b5e7118b3bb70ea",
          "quant": "Q4_K_M"
        },
        {
          "file": "openthai2.0-legal-thaillm-nemotron-3-nano-30b-a3b.Q8_0.gguf",
          "bytes": 33585495872,
          "sha256": "5f6fb0cd3334c673c09eaf664a35b55bf35c2881907ce6e9ef7cdfe4ce593df1",
          "quant": "Q8_0"
        }
      ],
      "vision": null
    },
    {
      "id": "openthai2.0-asr-streaming",
      "name": "OpenThai2.0 ASR Streaming",
      "summary_th": "ถอดเสียงพูดภาษาไทยเป็นข้อความบนเครื่องนี้ ใช้กับปุ่มไมโครโฟนในช่องข้อความ (พูดแทนการพิมพ์)",
      "summary_en": "Thai speech to text on this machine, for the microphone in the message box (dictation).",
      "role": "asr",
      "license": "openmdw-1.1",
      "repo": "iapp/OpenThai2.0-ASR-Streaming-ONNX",
      "revision": "17e5f5e962fa1765e8b939660edf468aca637b7b",
      "quick": false,
      "files": [
        {
          "file": "encoder.onnx.data",
          "bytes": 2454405120,
          "sha256": "a139201333ab89d5e965bc12abb1c534aa285d82e40051c2dda605365c74f18b",
          "quant": "FP32"
        }
      ],
      "vision": {
        "file": "openthai2.0-asr-streaming-fp32.asr.zip",
        "bytes": 149365631,
        "sha256": "d4161d14e1c61c779ae01cf02356a99d2752f7931ce2d04be8098c57270d463f",
        "quant": null
      }
    },
    {
      "id": "openthai2.0-asr-streaming-int8",
      "name": "OpenThai2.0 ASR Streaming (เล็ก · int8)",
      "summary_th": "รุ่นย่อขนาดของโมเดลถอดเสียง ดาวน์โหลดเร็วและใช้หน่วยความจำน้อยกว่า ถอดเสียงได้ตรงเท่ารุ่นเต็มบนเครื่อง Arm (RTX Spark, Mac) ส่วนบนเครื่อง Windows x64 แนะนำรุ่นเต็ม ซึ่งถอดเสียงแม่นกว่า",
      "summary_en": "The speech model made smaller: a quicker download and less memory. It hears as exactly as the full one on Arm machines (RTX Spark, Mac); on a Windows x64 PC take the full one, which hears more exactly.",
      "role": "asr",
      "license": "openmdw-1.1",
      "repo": "iapp/OpenThai2.0-ASR-Streaming-ONNX",
      "revision": "17e5f5e962fa1765e8b939660edf468aca637b7b",
      "quick": false,
      "files": [
        {
          "file": "encoder.int8.onnx.data",
          "bytes": 883175424,
          "sha256": "39176685a17087bc45a2a002cdc760951ccc4781693780a59db2b2a05ae964a5",
          "quant": "INT8"
        }
      ],
      "vision": {
        "file": "openthai2.0-asr-streaming-int8.asr.zip",
        "bytes": 109014005,
        "sha256": "6714a3333dbbef388aab0a0623a73da19953d9473dc59b98a77dda1a48911553",
        "quant": null
      }
    }
  ],
  "links": [
    {
      "id": "openthai2.0-ocr-markdown",
      "name": "OpenThai2.0-OCR-Markdown",
      "summary_th": "อ่านเอกสารภาษาไทยทั้งหน้าเป็น Markdown พร้อมตาราง",
      "summary_en": "Whole Thai pages read into Markdown, with tables.",
      "repo": "iapp/OpenThai2.0-OCR-Markdown",
      "runs_th": "รันด้วย vLLM บนการ์ดจอ NVIDIA · ใน ChindaBot ใช้ OpenThai2.0-OCR-Text ที่อยู่ด้านบนแทนได้ทันที",
      "runs_en": "Runs on vLLM with an NVIDIA GPU. In ChindaBot, OpenThai2.0-OCR-Text above reads pictures right away.",
      "license": "openmdw-1.1"
    }
  ],
  "image_models": [
    {
      "id": "z-image-turbo",
      "name": "Z-Image-Turbo",
      "summary_th": "สร้างภาพจากข้อความได้เร็วและสวย ใช้งานเชิงพาณิชย์ได้ (Apache-2.0) ใช้หน่วยความจำราว 9 GB ตัวหนังสือไทยในภาพยังเขียนได้ไม่แม่น",
      "summary_en": "Makes pictures from words, fast and good-looking, and may be used commercially (Apache-2.0). Takes about 9 GB of memory; Thai lettering in a picture is not reliable.",
      "license": "apache-2.0",
      "license_url": "https://www.apache.org/licenses/LICENSE-2.0",
      "commercial": true,
      "recommended": true,
      "parts": [
        {
          "role": "diffusion",
          "repo": "leejet/Z-Image-Turbo-GGUF",
          "revision": "c61c0e422dc8b541b7548cf33a4ef8302b0f8085",
          "file": "z_image_turbo-Q4_K.gguf",
          "bytes": 3864250304,
          "sha256": "14b375ab4f226bc5378f68f37e899ef3c2242b8541e61e2bc1aff40976086fbd"
        },
        {
          "role": "text",
          "repo": "unsloth/Qwen3-4B-Instruct-2507-GGUF",
          "revision": "a06e946bb6b655725eafa393f4a9745d460374c9",
          "file": "Qwen3-4B-Instruct-2507-Q4_K_M.gguf",
          "bytes": 2497281120,
          "sha256": "3605803b982cb64aead44f6c1b2ae36e3acdb41d8e46c8a94c6533bc4c67e597"
        },
        {
          "role": "vae",
          "repo": "Comfy-Org/Z-Image-Turbo",
          "revision": "6fc90a3b1b653e935a0d175e260736de25b84df5",
          "file": "split_files/vae/ae.safetensors",
          "bytes": 335304388,
          "sha256": "afc8e28272cd15db3919bacdb6918ce9c1ed22e96cb12c4d5ed0fba823529e38"
        }
      ],
      "sampler": [
        "--steps",
        "8",
        "--cfg-scale",
        "1.0"
      ]
    },
    {
      "id": "qwen-image-2.1-turbo",
      "name": "Qwen-Image-2.1 Turbo",
      "summary_th": "เขียนตัวหนังสือภาษาไทยในภาพได้ถูกเป็นส่วนใหญ่ (ป้ายหลักถูก 8 ใน 10 ภาพที่ลอง) เหมาะกับโปสเตอร์และป้าย ใช้หน่วยความจำราว 12 GB สัญญาอนุญาตของ Qwen ให้ใช้เพื่อการวิจัยและทดลองเท่านั้น ไม่ใช่เชิงพาณิชย์",
      "summary_en": "Writes Thai lettering in a picture right most of the time (the main sign right in 8 of 10 pictures tried); good for posters and signs. Takes about 12 GB of memory. Qwen's licence allows research and evaluation only, not commercial use.",
      "license": "qwen-research",
      "license_url": "https://huggingface.co/Qwen/Qwen-Image-2.1-Turbo/blob/main/LICENSE",
      "commercial": false,
      "parts": [
        {
          "role": "diffusion",
          "repo": "unsloth/Qwen-Image-2.1-Turbo-GGUF",
          "revision": "bd53e520a64472adaff780da0b2f2d7eb1605e30",
          "file": "qwen-image-2.1-turbo-Q4_K_M.gguf",
          "bytes": 4199565120,
          "sha256": "8940e8b522af886e0c0f5afddf720e82dd223cb9a43580b5f61c4d740452ac20"
        },
        {
          "role": "text",
          "repo": "Qwen/Qwen3-VL-8B-Instruct-GGUF",
          "revision": "f982a07559d4a2f6c8744d840bf6fccab30eea96",
          "file": "Qwen3VL-8B-Instruct-Q4_K_M.gguf",
          "bytes": 5027784800,
          "sha256": "67d1659bfe71b89d50b45a4ad1a9e5b997e5bb16ce5da66a6a6167abd569e9e2"
        },
        {
          "role": "vae",
          "repo": "Comfy-Org/Qwen-Image-2.1",
          "revision": "aacf31a6d48e707f352ecba714cee0680da3479b",
          "file": "vae/qwen_image_2.1_vae_bf16.safetensors",
          "bytes": 675509688,
          "sha256": "bb21f7473051e1ac368515dd3f2e15cd44d7a11748ee8823e1ddca3e4876b7c9"
        }
      ],
      "sampler": [
        "--sigmas",
        "qwen-image-2.1-turbo",
        "--steps",
        "8",
        "--cfg-scale",
        "1.0",
        "--sampling-method",
        "euler"
      ]
    }
  ]
}