{"id":192,"date":"2026-10-08T18:42:58","date_gmt":"2026-10-08T14:42:58","guid":{"rendered":"https:\/\/demensdeum.com\/blog\/2026\/10\/08\/airllm-experiments\/"},"modified":"2026-10-08T19:11:07","modified_gmt":"2026-10-08T15:11:07","slug":"airllm-experiments","status":"publish","type":"post","link":"https:\/\/demensdeum.com\/blog\/ja\/2026\/10\/08\/airllm-experiments\/","title":{"rendered":"AirLLM: \u5f31\u3044\u30b0\u30e9\u30d5\u30a3\u30c3\u30af\u30b9 \u30ab\u30fc\u30c9\u4e0a\u306e\u5927\u898f\u6a21\u306a\u8a00\u8a9e\u30e2\u30c7\u30eb"},"content":{"rendered":"

\u901a\u5e38\u3001700 \u5104\u306e\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u6301\u3064\u5927\u898f\u6a21\u306a\u8a00\u8a9e\u30e2\u30c7\u30eb\u3092\u5b9f\u884c\u3059\u308b\u306b\u306f\u3001\u6570\u5341\u30ae\u30ac\u30d0\u30a4\u30c8\u306e\u30d3\u30c7\u30aa \u30e1\u30e2\u30ea\u304c\u5fc5\u8981\u3067\u3059\u3002 AirLLM \u306f\u3053\u306e\u554f\u984c\u306b\u3082\u3063\u3068\u51b7\u9759\u306b\u53d6\u308a\u7d44\u307f\u3001\u5225\u306e\u65b9\u6cd5\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002\u3064\u307e\u308a\u3001\u3053\u306e\u3088\u3046\u306a\u30e2\u30c7\u30eb\u306f\u3001\u91cf\u5b50\u5316\u3001\u84b8\u7559\u3001\u30c8\u30ea\u30df\u30f3\u30b0\u3092\u884c\u308f\u305a\u306b\u3001\u308f\u305a\u304b 4 GB \u306e\u30e1\u30e2\u30ea\u3092\u5099\u3048\u305f\u30d3\u30c7\u30aa \u30ab\u30fc\u30c9\u4e0a\u3067\u5b9f\u884c\u3067\u304d\u307e\u3059\u3002\u3053\u306e\u30e1\u30e2\u3067\u306f\u3001AirLLM \u304c\u3069\u306e\u3088\u3046\u306b\u6a5f\u80fd\u3059\u308b\u304b\u3001\u3069\u306e\u3088\u3046\u306b\u4f7f\u7528\u3059\u308b\u304b\u3092\u6025\u3044\u3067\u8aac\u660e\u3057\u3088\u3046\u3068\u3057\u307e\u3059\u3002\u307e\u305f\u3001\u3053\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u306e\u64cd\u4f5c\u3092\u3082\u3046\u5c11\u3057\u4fbf\u5229\u306b\u3059\u308b\u79c1\u306e\u5c0f\u3055\u306a\u30d7\u30ed\u30b8\u30a7\u30af\u30c8 AirLLM \u5b9f\u9a13\u3092\u5171\u6709\u3057\u307e\u3059\u3002<\/p>\n

AirLLM \u3068\u306f<\/h2>\n

AirLLM \u306f\u3001Gavin Li \u306b\u3088\u3063\u3066\u66f8\u304b\u308c\u305f\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u63a8\u8ad6\u7528\u306e\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9 \u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3059\u3002\u305d\u306e\u30a2\u30a4\u30c7\u30a2\u306f\u30b7\u30f3\u30d7\u30eb\u3067\u3042\u308a\u306a\u304c\u3089\u6d17\u7df4\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u30e9\u30a4\u30d6\u30e9\u30ea\u306f\u3001\u3059\u3079\u3066\u306e\u30e2\u30c7\u30eb\u306e\u91cd\u307f\u3092\u30d3\u30c7\u30aa \u30e1\u30e2\u30ea\u306b\u4e00\u5ea6\u306b\u4fdd\u5b58\u3059\u308b\u306e\u3067\u306f\u306a\u304f\u3001\u4e00\u5ea6\u306b 1 \u3064\u306e\u30ec\u30a4\u30e4\u30fc\u3060\u3051\u3092 GPU \u306b\u30ed\u30fc\u30c9\u3057\u307e\u3059\u3002\u30a6\u30a7\u30a4\u30c8\u306f\u30ec\u30a4\u30e4\u30fc\u306b\u5206\u5272\u3055\u308c\u305f\u30b7\u30e3\u30fc\u30c9\u306e\u5f62\u3067\u30c7\u30a3\u30b9\u30af\u306b\u4fdd\u5b58\u3055\u308c\u3001\u751f\u6210\u4e2d\u306b\u5404\u30ec\u30a4\u30e4\u30fc\u304c\u9806\u756a\u306b\u30ed\u30fc\u30c9\u3001\u51e6\u7406\u3001\u30a2\u30f3\u30ed\u30fc\u30c9\u3055\u308c\u307e\u3059\u3002<\/p>\n

\u3057\u305f\u304c\u3063\u3066\u3001\u5fc5\u8981\u306a\u30d3\u30c7\u30aa \u30e1\u30e2\u30ea\u306e\u91cf\u306f\u30e2\u30c7\u30eb\u5168\u4f53\u306e\u30b5\u30a4\u30ba\u3067\u306f\u306a\u304f\u3001\u305d\u306e\u30ec\u30a4\u30e4\u30fc\u306e 1 \u3064\u306e\u30b5\u30a4\u30ba\u306b\u4f9d\u5b58\u3059\u308b\u3068\u3044\u3046\u3053\u3068\u306b\u306a\u308a\u307e\u3059\u3002\u305d\u306e\u305f\u3081\u300170B \u30e2\u30c7\u30eb\u306f 4 GB\u3001671B \u306e DeepSeek-V3 \u306f\u7d04 12 GB\u3001Qwen3-235B \u306f\u7d04 3 GB \u306b\u53ce\u307e\u308a\u307e\u3059\u3002\u305f\u3060\u3057\u3001\u30e2\u30c7\u30eb\u81ea\u4f53\u306e\u30b5\u30a4\u30ba\u306f\u3001\u30d3\u30c7\u30aa \u30ab\u30fc\u30c9\u306e\u6a5f\u80fd\u3067\u306f\u306a\u304f\u3001\u4e3b\u306b\u30c7\u30a3\u30b9\u30af\u5bb9\u91cf\u306b\u3088\u3063\u3066\u5236\u9650\u3055\u308c\u307e\u3059\u3002<\/p>\n

\u3053\u308c\u3089\u306e\u30e1\u30e2\u30ea\u306e\u7bc0\u7d04\u306b\u306f\u901f\u5ea6\u304c\u72a0\u7272\u306b\u306a\u308a\u307e\u3059\u3002\u5404\u30c8\u30fc\u30af\u30f3\u306e\u751f\u6210\u6642\u306b\u5404\u30ec\u30a4\u30e4\u30fc\u304c\u30c7\u30a3\u30b9\u30af\u304b\u3089\u8aad\u307f\u53d6\u3089\u308c\u308b\u305f\u3081\u3001\u51fa\u529b\u306f\u9045\u304f\u306a\u308a\u3001\u30c8\u30fc\u30af\u30f3\u3042\u305f\u308a\u7d04\u79d2\u306b\u306a\u308a\u307e\u3059\u3002\u3064\u307e\u308a\u3001AirLLM \u306f\u3001\u7c21\u5358\u306a\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u306a\u30c1\u30e3\u30c3\u30c8\u3068\u3044\u3046\u3088\u308a\u3082\u3001\u305d\u3046\u3067\u306a\u3051\u308c\u3070\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u306b\u9069\u5408\u3057\u306a\u3044\u30e2\u30c7\u30eb\u3055\u3048\u3082\u8d77\u52d5\u3067\u304d\u308b\u6a5f\u80fd\u306b\u91cd\u70b9\u3092\u7f6e\u3044\u3066\u3044\u307e\u3059\u3002<\/p>\n

\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb<\/h2>\n

\u30e9\u30a4\u30d6\u30e9\u30ea\u306f\u3001\u901a\u5e38\u306e\u30b3\u30de\u30f3\u30c9\u3092\u4f7f\u7528\u3057\u3066 PyPI \u304b\u3089\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3055\u308c\u307e\u3059\u3002<\/p>\n

\n
pip install airllm\n<\/code><\/pre>\n<\/div>\n
\u521d\u3081\u3066\u8d77\u52d5\u3059\u308b\u3068\u3001Hugging Face \u304b\u3089\u30e2\u30c7\u30eb\u304c\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3055\u308c\u3001\u30ec\u30a4\u30e4\u30fc\u306b\u5206\u89e3\u3055\u308c\u307e\u3059\u3002\u3053\u306e\u30d7\u30ed\u30bb\u30b9\u306f\u6642\u9593\u304c\u304b\u304b\u308a\u3001\u591a\u304f\u306e\u30c7\u30a3\u30b9\u30af\u9818\u57df\u3092\u6d88\u8cbb\u3059\u308b\u305f\u3081\u3001\u4e8b\u524d\u306b\u7a7a\u304d\u9818\u57df\u3092\u6e96\u5099\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u5fc5\u8981\u306b\u5fdc\u3058\u3066\u30014 \u30d3\u30c3\u30c8\u307e\u305f\u306f 8 \u30d3\u30c3\u30c8\u5727\u7e2e\u3092\u6709\u52b9\u306b\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u305d\u306e\u5834\u5408\u3001\u30d6\u30ed\u30c3\u30af\u91cf\u5b50\u5316\u304c\u91cd\u307f\u306b\u9069\u7528\u3055\u308c\u3001\u30c7\u30a3\u30b9\u30af\u304b\u3089\u306e\u30ec\u30a4\u30e4\u30fc\u306e\u30ed\u30fc\u30c9\u901f\u5ea6\u304c\u7d04 3 \u500d\u5411\u4e0a\u3057\u307e\u3059\u304c\u3001\u7cbe\u5ea6\u306f\u304b\u306a\u308a\u5931\u308f\u308c\u307e\u3059\u3002<\/p>\n
\u57fa\u672c\u7684\u306a\u4f8b<\/h2>\n
AirLLM \u306f\u3001Transformers \u306e\u901a\u5e38\u306e\u30e2\u30c7\u30eb\u3068\u307b\u307c\u540c\u3058\u65b9\u6cd5\u3067\u4f5c\u696d\u3067\u304d\u307e\u3059\u3002 Hugging Face \u3067\u30e2\u30c7\u30eb ID \u3092 1 \u56de\u5165\u529b\u3059\u308b\u3060\u3051\u3067\u5341\u5206\u3067\u3059\u3002\u305d\u306e\u5f8c\u3001\u3059\u3079\u3066\u304c\u99b4\u67d3\u307f\u307e\u3059\u3002<\/p>\n
\n
from airllm import AutoModel\n\nMAX_LENGTH = 128\nmodel = AutoModel.from_pretrained(\"Qwen\/Qwen3-32B\")\n\ninput_text = ['What is the capital of United States?']\n\ninput_tokens = model.tokenizer(\n    input_text,\n    return_tensors=\"pt\",\n    return_attention_mask=False,\n    truncation=True,\n    max_length=MAX_LENGTH,\n    padding=False)\n\ngeneration_output = model.generate(\n    input_tokens['input_ids'].cuda(),\n    max_new_tokens=20,\n    use_cache=True,\n    return_dict_in_generate=True)\n\nprint(model.tokenizer.decode(generation_output.sequences[0]))\n<\/code><\/pre>\n<\/div>\n
AutoModel \u30af\u30e9\u30b9\u81ea\u4f53\u304c\u30e2\u30c7\u30eb \u30bf\u30a4\u30d7\u3092\u6c7a\u5b9a\u3059\u308b\u305f\u3081\u3001\u540c\u3058\u884c\u3092 Llama\u3001Qwen\u3001DeepSeek \u306b\u4f7f\u7528\u3067\u304d\u307e\u3059\u3002\u307e\u305f\u3001671B \u30d1\u30e9\u30e1\u30fc\u30bf\u30fc\u3092\u5099\u3048\u305f DeepSeek-V3 \u306e\u3088\u3046\u306a\u30e2\u30c7\u30eb\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001\u7d04 12 GB \u306e\u30d3\u30c7\u30aa \u30e1\u30e2\u30ea\u306b\u3082\u53ce\u307e\u308a\u307e\u3059\u3002\u3053\u308c\u304c\u4e3b\u306b\u3001\u3053\u306e\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u3092\u9b45\u529b\u7684\u306a\u3082\u306e\u306b\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n
macOS \u3067\u8d77\u52d5<\/h2>\n
AirLLM \u306f CUDA \u3060\u3051\u3067\u306a\u304f Apple Silicon \u3067\u3082\u52d5\u4f5c\u3057\u307e\u3059\u3002 macOS \u3067\u306f MLX \u30d0\u30c3\u30af\u30a8\u30f3\u30c9\u3092\u4f7f\u7528\u3059\u308b\u305f\u3081\u3001mlx \u3068 torch \u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u3001Apple \u30c1\u30c3\u30d7\u306e\u307f\u3092\u30b5\u30dd\u30fc\u30c8\u3057\u307e\u3059\u3002\u307e\u305f\u3001\u5c0f\u3055\u306a\u5236\u9650\u3082\u3042\u308a\u307e\u3059\u3002MLX \u5b9f\u88c5\u306f Llama \u306e\u3088\u3046\u306a\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u306e\u307f\u3092\u30b5\u30dd\u30fc\u30c8\u3059\u308b\u305f\u3081\u3001Qwen \u304a\u3088\u3073\u985e\u4f3c\u306e\u30e2\u30c7\u30eb\u3092\u3053\u306e\u65b9\u6cd5\u3067 MacBook \u4e0a\u3067\u8d77\u52d5\u3059\u308b\u3053\u3068\u306f\u3067\u304d\u307e\u305b\u3093\u3002<\/p>\n
\u4f7f\u7528\u4f8b<\/h2>\n
AirLLM \u5b9f\u9a13\u306f\u3001\u5927\u898f\u6a21\u306a\u8a00\u8a9e\u30e2\u30c7\u30eb\u3092\u30ed\u30fc\u30ab\u30eb\u3067\u5b9f\u884c\u3059\u308b\u305f\u3081\u306e 2 \u3064\u306e\u5c0f\u3055\u306a\u5bfe\u8a71\u578b\u30b3\u30f3\u30bd\u30fc\u30eb \u30e6\u30fc\u30c6\u30a3\u30ea\u30c6\u30a3\u3067\u3059\u3002\u30e2\u30c7\u30eb\u3092\u30ed\u30fc\u30c9\u3057\u3066\u30c1\u30e3\u30c3\u30c8\u3092\u6574\u7406\u3059\u308b\u305f\u3081\u306b\u6bce\u56de\u540c\u3058\u30b3\u30fc\u30c9\u3092\u8a18\u8ff0\u3059\u308b\u5fc5\u8981\u304c\u306a\u304f\u306a\u308a\u307e\u3059\u3002<\/p>\n
\u6700\u521d\u306e\u30c4\u30fc\u30eb airllm-lib-usage.py \u306f\u3001AirLLM \u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u73fe\u5728\u306e Python \u30d7\u30ed\u30bb\u30b9\u3067\u76f4\u63a5\u5b9f\u884c\u3057\u307e\u3059\u3002\u7dcf\u5408\u30ab\u30bf\u30ed\u30b0\u306e\u30e2\u30c7\u30eb\u306e\u756a\u53f7\u4ed8\u304d\u30ea\u30b9\u30c8\u304c\u8868\u793a\u3055\u308c\u3001\u5fc5\u8981\u306b\u5fdc\u3058\u3066\u4e0d\u8db3\u3057\u3066\u3044\u308b\u4f9d\u5b58\u95a2\u4fc2\u304c\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3055\u308c\u3001\u30c1\u30e3\u30c3\u30c8 \u30bb\u30c3\u30b7\u30e7\u30f3\u304c\u958b\u304d\u307e\u3059\u3002 MLX \u30e9\u30f3\u30bf\u30a4\u30e0\u306f macOS \u3067\u4f7f\u7528\u3055\u308c\u3001torch \u306f\u4ed6\u306e\u30d7\u30e9\u30c3\u30c8\u30d5\u30a9\u30fc\u30e0\u3067\u4f7f\u7528\u3055\u308c\u307e\u3059\u3002<\/p>\n
2 \u756a\u76ee\u306e\u30c4\u30fc\u30eb airllm-openai-server-client.py \u306f\u3001Docker \u3067\u5b9f\u884c\u3055\u308c\u3001OpenAI \u4e92\u63db\u306e API \u3092\u63d0\u4f9b\u3059\u308b airllm-openai-server \u30b5\u30fc\u30d0\u30fc\u306e\u64cd\u4f5c\u306b\u5f79\u7acb\u3061\u307e\u3059\u3002\u521d\u3081\u3066\u8d77\u52d5\u3059\u308b\u3068\u3001\u30e6\u30fc\u30c6\u30a3\u30ea\u30c6\u30a3\u306f\u8a2d\u5b9a\u3092\u8981\u6c42\u3057\u3001\u30a4\u30e1\u30fc\u30b8\u3092\u53ce\u96c6\u3057\u3001\u30b3\u30f3\u30c6\u30ca\u3092\u9078\u629e\u3057\u3066\u3001\u5b9f\u884c\u4e2d\u306e\u30b5\u30fc\u30d0\u30fc\u3078\u306e\u30b9\u30c8\u30ea\u30fc\u30df\u30f3\u30b0 \u30c1\u30e3\u30c3\u30c8\u3092\u958b\u304d\u307e\u3059\u3002\u7e70\u308a\u8fd4\u3057\u8d77\u52d5\u3059\u308b\u3068\u3001\u65e2\u5b58\u306e\u30b3\u30f3\u30c6\u30ca\u30fc\u304c\u898b\u3064\u304b\u3063\u3066\u305d\u308c\u3092\u518d\u5229\u7528\u3057\u3001\u30e2\u30c7\u30eb\u304c\u518d\u5ea6\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3055\u308c\u306a\u3044\u3088\u3046\u306b\u30e2\u30c7\u30eb \u30ad\u30e3\u30c3\u30b7\u30e5\u3092\u5225\u306e Docker \u30dc\u30ea\u30e5\u30fc\u30e0\u306b\u4fdd\u5b58\u3057\u307e\u3059\u3002<\/p>\n
\u5229\u7528\u53ef\u80fd\u306a\u30e2\u30c7\u30eb\u306e\u30ea\u30b9\u30c8\u306f\u5171\u901a\u30e2\u30b8\u30e5\u30fc\u30eb model_catalog.py \u306b\u542b\u307e\u308c\u3066\u3044\u308b\u305f\u3081\u3001\u4e21\u65b9\u306e\u30c4\u30fc\u30eb\u306f\u540c\u3058\u30bb\u30c3\u30c8\u3067\u52d5\u4f5c\u3057\u307e\u3059\u3002\u30c1\u30e3\u30c3\u30c8 \u30b3\u30de\u30f3\u30c9 \/help\u3001\/clear\u3001\/exit \u3082\u4e00\u822c\u7684\u3067\u3059\u3002\u30bd\u30fc\u30b9 \u30b3\u30fc\u30c9\u3068\u624b\u9806\u306f\u30ea\u30dd\u30b8\u30c8\u30ea\u306b\u3042\u308a\u307e\u3059\u3002<\/p>\n
https:\/\/github.com\/zefir1990\/AirLLM-experiments<\/a><\/p>\n
\u6ce8\u610f\u3059\u3079\u304d\u3053\u3068<\/h2>\n
\u6700\u521d\u306e\u5fdc\u7b54\u306e\u6e96\u5099\u306b\u306f\u6570\u5206\u304b\u304b\u308b\u5834\u5408\u304c\u3042\u308a\u307e\u3059\u3002\u307e\u305a\u3001AirLLM \u304c\u30e2\u30c7\u30eb\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3057\u3066\u30ec\u30a4\u30e4\u30fc\u306b\u5206\u5272\u3057\u3001\u305d\u308c\u304b\u3089\u751f\u6210\u3092\u958b\u59cb\u3057\u307e\u3059\u3002\u305f\u3060\u3057\u3001\u901f\u5ea6\u3082\u4f4e\u3044\u307e\u307e\u3067\u3059\u3002\u3053\u308c\u306f\u30e1\u30e2\u30ea\u3092\u7bc0\u7d04\u3059\u308b\u305f\u3081\u306e\u610f\u56f3\u7684\u306a\u59a5\u5354\u3067\u3059\u3002 metal-llama \u306e\u3088\u3046\u306a\u30b2\u30fc\u30c8\u4ed8\u304d\u30e2\u30c7\u30eb\u306e\u5834\u5408\u3001Hugging Face \u306e\u898f\u7d04\u306b\u540c\u610f\u3057\u3001\u30a2\u30af\u30bb\u30b9 \u30c8\u30fc\u30af\u30f3\u3092\u6e21\u3059\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3057\u305f\u30e2\u30c7\u30eb\u3068\u30b7\u30e3\u30fc\u30c9\u306e\u30ad\u30e3\u30c3\u30b7\u30e5\u306f\u524a\u9664\u3057\u306a\u3044\u3053\u3068\u304c\u6700\u5584\u3067\u3059\u3002\u524a\u9664\u3057\u306a\u3044\u3068\u3001\u3059\u3079\u3066\u3092\u518d\u5ea6\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n
\u30ea\u30f3\u30af<\/h2>\n
https:\/\/github.com\/lyogavin\/airllm<\/a>
\nhttps:\/\/github.com\/mkamranr\/airllm-openai-server<\/a>
\nhttps:\/\/github.com\/zefir1990\/AirLLM-experiments<\/a>
\nhttps:\/\/pypi.org\/project\/airllm\/<\/a>
\nhttps:\/\/huggingface.co\/<\/a><\/p>\n
\u30bd\u30fc\u30b9<\/h2>\n
https:\/\/github.com\/lyogavin\/airllm<\/a>
\nhttps:\/\/github.com\/zefir1990\/AirLLM-experiments<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u901a\u5e38\u3001700 \u5104\u306e\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u6301\u3064\u5927\u898f\u6a21\u306a\u8a00\u8a9e\u30e2\u30c7\u30eb\u3092\u5b9f\u884c\u3059\u308b\u306b\u306f\u3001\u6570\u5341\u30ae\u30ac\u30d0\u30a4\u30c8\u306e\u30d3\u30c7\u30aa \u30e1\u30e2\u30ea\u304c\u5fc5\u8981\u3067\u3059\u3002 AirLLM \u306f\u3053\u306e\u554f\u984c\u306b\u3082\u3063\u3068\u51b7\u9759\u306b\u53d6\u308a\u7d44\u307f\u3001\u5225\u306e\u65b9\u6cd5\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002\u3064\u307e\u308a\u3001\u3053\u306e\u3088\u3046\u306a\u30e2\u30c7\u30eb\u306f\u3001\u91cf\u5b50\u5316\u3001\u84b8\u7559\u3001\u30c8\u30ea\u30df\u30f3\u30b0\u3092\u884c\u308f\u305a\u306b\u3001\u308f\u305a\u304b 4 GB \u306e\u30e1\u30e2\u30ea\u3092\u5099\u3048\u305f\u30d3\u30c7\u30aa \u30ab\u30fc\u30c9\u4e0a\u3067\u5b9f\u884c\u3067\u304d\u307e\u3059\u3002\u3053\u306e\u30e1\u30e2\u3067\u306f\u3001AirLLM \u304c\u3069\u306e\u3088\u3046\u306b\u6a5f\u80fd\u3059\u308b\u304b\u3001\u3069\u306e\u3088\u3046\u306b\u4f7f\u7528\u3059\u308b\u304b\u3092\u6025\u3044\u3067\u8aac\u660e\u3057\u3088\u3046\u3068\u3057\u307e\u3059\u3002\u307e\u305f\u3001\u3053\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u306e\u64cd\u4f5c\u3092\u3082\u3046\u5c11\u3057\u4fbf\u5229\u306b\u3059\u308b\u79c1\u306e\u5c0f\u3055\u306a\u30d7\u30ed\u30b8\u30a7\u30af\u30c8 AirLLM \u5b9f\u9a13\u3092\u5171\u6709\u3057\u307e\u3059\u3002 AirLLM \u3068\u306f AirLLM \u306f\u3001Gavin Li \u306b\u3088\u3063\u3066\u66f8\u304b\u308c\u305f\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u63a8\u8ad6\u7528\u306e\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9 \u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3059\u3002\u305d\u306e\u30a2\u30a4\u30c7\u30a2\u306f\u30b7\u30f3\u30d7\u30eb\u3067\u3042\u308a\u306a\u304c\u3089\u6d17\u7df4\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u30e9\u30a4\u30d6\u30e9\u30ea\u306f\u3001\u3059\u3079\u3066\u306e\u30e2\u30c7\u30eb\u306e\u91cd\u307f\u3092\u30d3\u30c7\u30aa \u30e1\u30e2\u30ea\u306b\u4e00\u5ea6\u306b\u4fdd\u5b58\u3059\u308b\u306e\u3067\u306f\u306a\u304f\u3001\u4e00\u5ea6\u306b 1 \u3064\u306e\u30ec\u30a4\u30e4\u30fc\u3060\u3051\u3092 GPU \u306b\u30ed\u30fc\u30c9\u3057\u307e\u3059\u3002\u30a6\u30a7\u30a4\u30c8\u306f\u30ec\u30a4\u30e4\u30fc\u306b\u5206\u5272\u3055\u308c\u305f\u30b7\u30e3\u30fc\u30c9\u306e\u5f62\u3067\u30c7\u30a3\u30b9\u30af\u306b\u4fdd\u5b58\u3055\u308c\u3001\u751f\u6210\u4e2d\u306b\u5404\u30ec\u30a4\u30e4\u30fc\u304c\u9806\u756a\u306b\u30ed\u30fc\u30c9\u3001\u51e6\u7406\u3001\u30a2\u30f3\u30ed\u30fc\u30c9\u3055\u308c\u307e\u3059\u3002 \u3057\u305f\u304c\u3063\u3066\u3001\u5fc5\u8981\u306a\u30d3\u30c7\u30aa \u30e1\u30e2\u30ea\u306e\u91cf\u306f\u30e2\u30c7\u30eb\u5168\u4f53\u306e\u30b5\u30a4\u30ba\u3067\u306f\u306a\u304f\u3001\u305d\u306e\u30ec\u30a4\u30e4\u30fc\u306e 1 \u3064\u306e\u30b5\u30a4\u30ba\u306b\u4f9d\u5b58\u3059\u308b\u3068\u3044\u3046\u3053\u3068\u306b\u306a\u308a\u307e\u3059\u3002\u305d\u306e\u305f\u3081\u300170B \u30e2\u30c7\u30eb\u306f 4 GB\u3001671B \u306e DeepSeek-V3 \u306f\u7d04 12 GB\u3001Qwen3-235B \u306f\u7d04 3 GB \u306b\u53ce\u307e\u308a\u307e\u3059\u3002\u305f\u3060\u3057\u3001\u30e2\u30c7\u30eb\u81ea\u4f53\u306e\u30b5\u30a4\u30ba\u306f\u3001\u30d3\u30c7\u30aa \u30ab\u30fc\u30c9\u306e\u6a5f\u80fd\u3067\u306f\u306a\u304f\u3001\u4e3b\u306b\u30c7\u30a3\u30b9\u30af\u5bb9\u91cf\u306b\u3088\u3063\u3066\u5236\u9650\u3055\u308c\u307e\u3059\u3002 \u3053\u308c\u3089\u306e\u30e1\u30e2\u30ea\u306e\u7bc0\u7d04\u306b\u306f\u901f\u5ea6\u304c\u72a0\u7272\u306b\u306a\u308a\u307e\u3059\u3002\u5404\u30c8\u30fc\u30af\u30f3\u306e\u751f\u6210\u6642\u306b\u5404\u30ec\u30a4\u30e4\u30fc\u304c\u30c7\u30a3\u30b9\u30af\u304b\u3089\u8aad\u307f\u53d6\u3089\u308c\u308b\u305f\u3081\u3001\u51fa\u529b\u306f\u9045\u304f\u306a\u308a\u3001\u30c8\u30fc\u30af\u30f3\u3042\u305f\u308a\u7d04\u79d2\u306b\u306a\u308a\u307e\u3059\u3002\u3064\u307e\u308a\u3001AirLLM \u306f\u3001\u7c21\u5358\u306a\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u306a\u30c1\u30e3\u30c3\u30c8\u3068\u3044\u3046\u3088\u308a\u3082\u3001\u305d\u3046\u3067\u306a\u3051\u308c\u3070\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u306b\u9069\u5408\u3057\u306a\u3044\u30e2\u30c7\u30eb\u3055\u3048\u3082\u8d77\u52d5\u3067\u304d\u308b\u6a5f\u80fd\u306b\u91cd\u70b9\u3092\u7f6e\u3044\u3066\u3044\u307e\u3059\u3002 \u30a4\u30f3\u30b9\u30c8\u30fc\u30eb \u30e9\u30a4\u30d6\u30e9\u30ea\u306f\u3001\u901a\u5e38\u306e\u30b3\u30de\u30f3\u30c9\u3092\u4f7f\u7528\u3057\u3066 PyPI \u304b\u3089\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3055\u308c\u307e\u3059\u3002 pip install airllm \u521d\u3081\u3066\u8d77\u52d5\u3059\u308b\u3068\u3001Hugging Face \u304b\u3089\u30e2\u30c7\u30eb\u304c\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3055\u308c\u3001\u30ec\u30a4\u30e4\u30fc\u306b\u5206\u89e3\u3055\u308c\u307e\u3059\u3002\u3053\u306e\u30d7\u30ed\u30bb\u30b9\u306f\u6642\u9593\u304c\u304b\u304b\u308a\u3001\u591a\u304f\u306e\u30c7\u30a3\u30b9\u30af\u9818\u57df\u3092\u6d88\u8cbb\u3059\u308b\u305f\u3081\u3001\u4e8b\u524d\u306b\u7a7a\u304d\u9818\u57df\u3092\u6e96\u5099\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u5fc5\u8981\u306b\u5fdc\u3058\u3066\u30014 \u30d3\u30c3\u30c8\u307e\u305f\u306f 8 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8],"tags":[],"class_list":["post-192","post","type-post","status-publish","format-standard","hentry","category-notes"],"translation":{"provider":"WPGlobus","version":"3.0.6","language":"ja","enabled_languages":["en","ru","zh","de","ja","fr","es","pt","hi"],"languages":{"en":{"title":true,"content":true,"excerpt":false},"ru":{"title":true,"content":true,"excerpt":false},"zh":{"title":true,"content":true,"excerpt":false},"de":{"title":true,"content":true,"excerpt":false},"ja":{"title":true,"content":true,"excerpt":false},"fr":{"title":true,"content":true,"excerpt":false},"es":{"title":true,"content":true,"excerpt":false},"pt":{"title":true,"content":true,"excerpt":false},"hi":{"title":true,"content":true,"excerpt":false}}},"_links":{"self":[{"href":"https:\/\/demensdeum.com\/blog\/ja\/wp-json\/wp\/v2\/posts\/192","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/demensdeum.com\/blog\/ja\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/demensdeum.com\/blog\/ja\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/demensdeum.com\/blog\/ja\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/demensdeum.com\/blog\/ja\/wp-json\/wp\/v2\/comments?post=192"}],"version-history":[{"count":2,"href":"https:\/\/demensdeum.com\/blog\/ja\/wp-json\/wp\/v2\/posts\/192\/revisions"}],"predecessor-version":[{"id":194,"href":"https:\/\/demensdeum.com\/blog\/ja\/wp-json\/wp\/v2\/posts\/192\/revisions\/194"}],"wp:attachment":[{"href":"https:\/\/demensdeum.com\/blog\/ja\/wp-json\/wp\/v2\/media?parent=192"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/demensdeum.com\/blog\/ja\/wp-json\/wp\/v2\/categories?post=192"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/demensdeum.com\/blog\/ja\/wp-json\/wp\/v2\/tags?post=192"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}