[{"_1":2,"_203":-5,"_204":-5},"loaderData",{"_3":4,"_18":19,"_25":26,"_173":174},"root",{"_5":-5,"_6":-7,"_7":8,"_9":-7,"_10":11,"_12":-7,"_13":14,"_15":16,"_17":11},"currentUser","primaryEmail","siteVerification","6LeIxAcTAAAAAJcZVRqyHh71UMIEGNQ_MXjiZKhI","toast","enableDev",false,"incidentStatus","theme","system","contrast","normal","dockerRebrandTour","routes/_layout",{"_20":-5,"_21":22,"_23":11,"_24":22},"username","isAskGordonEnabled",true,"showMinimalLanding","showHoneypotTrap","routes/_layout.r.$namespace.$reponame",{"_27":28,"_29":-5,"_30":11,"_31":11,"_32":33,"_34":35,"_36":-5,"_37":11,"_38":39,"_98":-5,"_99":100,"_161":-5,"_162":11,"_163":22,"_164":11,"_165":11,"_166":-5,"_167":11,"_168":-5,"_169":170,"_171":101,"_172":-7},"canonicalUrl","https://hub.docker.com/r/jaychkdsk/gui-bom/tags","mcpServer","canSeeDockerfile","canSeeAutobuilds","namespace","jaychkdsk","reponame","gui-bom","cloudBuildSource","isAutobuildsAvailable","repo",{"_40":41,"_53":54,"_56":57,"_58":59,"_60":11,"_61":62,"_63":64,"_65":66,"_43":35,"_32":33,"_68":69,"_70":55,"_71":72,"_73":74,"_75":76,"_77":-5,"_78":72,"_79":80,"_81":11,"_82":33,"_83":84,"_89":11,"_90":91,"_95":33,"_96":97},"categories",[42,47,50],{"_43":44,"_45":46},"name","Security","slug","security",{"_43":48,"_45":49},"Machine learning & AI","machine-learning-and-ai",{"_43":51,"_45":52},"Developer tools","developer-tools","content_types",[55],"image","date_registered","2026-03-26T15:04:01.733266Z","description","GUI-BOM is a local browser-based wrapper around L-BOM.","is_private","last_updated","2026-03-26T15:40:38.112318Z","last_modified","2026-03-26T15:26:38.257045Z","media_types",[67],"application/vnd.oci.image.index.v1+json","pull_count",26010,"repository_type","star_count",0,"status",1,"status_description","active","source","collaborator_count","full_description","## GUI-BOM\n\n`GUI-BOM` is a local browser-based wrapper around `L-BOM`, a Python tool that inspects local LLM model artifacts such as `.gguf` and `.safetensors` files and emits a lightweight Software Bill of Materials with file identity, format details, model metadata, and parsing warnings.\n\nThe project now supports both a CLI workflow and a polished local GUI for people who would rather click through a browser than work in a command prompt.\n\n### Docker usage\n\nRun the GUI and mount a host folder of models into the container:\n\n```bash\ndocker run --rm -p 7860:7860 -v C:\\models:/models gui-bom:latest\n```\n\nThen open `http://127.0.0.1:7860` and browse to `/models` inside the app.\n\n\n### GUI usage\n\nBy default the GUI binds to `127.0.0.1:7860` and opens a browser tab automatically.\n\nThe GUI includes:\n\n- a local file browser for folders and supported model files\n- one-click scanning for a single file or an entire directory\n- summary cards, document details, and warning views\n- copy and download actions for JSON, SPDX, and table output\n\n### CLI usage\n\nEnter the docker container via:\n\n```bash\ndocker exec -it bash\n```\n\nThen build for the cli version:\n\n```bash\npip install .\n```\n\nShow the installed version:\n\n```bash\nl-bom version\n```\n\nScan a single model file and emit JSON:\n\n```bash\nl-bom scan .\\models\\Llama-3.1-8B-Instruct-Q4_K_M.gguf\n```\n\nScan a single model file and emit SPDX tag-value:\n\n```bash\nl-bom scan .\\models\\Llama-3.1-8B-Instruct-Q4_K_M.gguf --format spdx\n```\n\nScan a single model file and emit a huggingface-style README:\n\n```bash\nl-bom scan .\\models\\Llama-3.1-8B-Instruct-Q4_K_M.gguf --format hf-readme\n```\n\nScan a directory recursively and render a table:\n\n```bash\nl-bom scan .\\models --format table\n```\n\nExport a single model scan as Hugging Face-ready `README.md` content:\n\n```bash\nl-bom scan .\\models\\Llama-3.1-8B-Instruct-Q4_K_M.gguf --format hf-readme --hf-sdk static --hf-app-file index.html\n```\n\nOverride the inferred title and short description for the README front matter:\n\n```bash\nl-bom scan .\\models\\Llama-3.1-8B-Instruct-Q4_K_M.gguf --format hf-readme --hf-title \"Llama 3.1 Demo\" --hf-short-description \"Quantized GGUF artifact for a local demo space\"\n```\n\n\nSkip SHA256 hashing for very large files and write the result to disk:\n\n```bash\nl-bom scan .\\models --no-hash --output .\\model-sbom.json\n```\n\n### Sample JSON output\n\nSample JSON output for (`LFM2.5-1.2B-Instruct-Q8_0.gguf`)[https://huggingface.co/LiquidAI/LFM2.5-1.2B-Instruct-GGUF]:\n\n```json\n{\n \"sbom_version\": \"1.0\",\n \"generated_at\": \"2026-03-25T04:07:53.262551+00:00\",\n \"tool_name\": \"l-bom\",\n \"tool_version\": \"0.2.0\",\n \"model_path\": \"C:\\\\models\\\\LFM2.5-1.2B-Instruct-GGUF\\\\LFM2.5-1.2B-Instruct-Q8_0.gguf\",\n \"model_filename\": \"LFM2.5-1.2B-Instruct-Q8_0.gguf\",\n \"file_size_bytes\": 1246253888,\n \"sha256\": \"f6b981dcb86917fa463f78a362320bd5e2dc45445df147287eedb85e5a30d26a\",\n \"format\": \"gguf\",\n \"architecture\": \"lfm2\",\n \"parameter_count\": 1170340608,\n \"quantization\": \"Q5_1\",\n \"dtype\": null,\n \"context_length\": 128000,\n \"vocab_size\": 65536,\n \"license\": null,\n \"base_model\": null,\n \"training_framework\": null,\n \"metadata\": {\n \"general.architecture\": \"lfm2\",\n \"general.type\": \"model\",\n \"general.name\": \"4cd563d5a96af9e7c738b76cd89a0a200db7608f\",\n \"general.finetune\": \"4cd563d5a96af9e7c738b76cd89a0a200db7608f\",\n \"general.size_label\": \"1.2B\",\n \"general.license\": \"other\",\n \"general.license.name\": \"lfm1.0\",\n \"general.license.link\": \"LICENSE\",\n \"general.tags\": [\n \"liquid\",\n \"lfm2.5\",\n \"edge\",\n \"text-generation\"\n ],\n \"general.languages\": [\n \"en\",\n \"ar\",\n \"zh\",\n \"fr\",\n \"de\",\n \"ja\",\n \"ko\",\n \"es\"\n ],\n \"lfm2.block_count\": 16,\n \"lfm2.context_length\": 128000,\n \"lfm2.embedding_length\": 2048,\n \"lfm2.feed_forward_length\": 8192,\n \"lfm2.attention.head_count\": 32,\n \"lfm2.attention.head_count_kv\": [\n 0,\n 0,\n 8,\n 0,\n 0,\n 8,\n 0,\n 0,\n 8,\n 0,\n 8,\n 0,\n 8,\n 0,\n 8,\n 0\n ],\n \"lfm2.rope.freq_base\": 1000000.0,\n \"lfm2.attention.layer_norm_rms_epsilon\": 9.999999747378752e-06,\n \"lfm2.vocab_size\": 65536,\n \"lfm2.shortconv.l_cache\": 3,\n \"tokenizer.ggml.model\": \"gpt2\",\n \"tokenizer.ggml.pre\": \"lfm2\",\n \"tokenizer.ggml.tokens\": {\n \"type\": \"array\",\n \"element_type\": \"STRING\",\n \"count\": 65536,\n \"preview\": [\n \"<|pad|>\",\n \"<|startoftext|>\",\n \"<|endoftext|>\",\n \"<|fim_pre|>\",\n \"<|fim_mid|>\",\n \"<|fim_suf|>\",\n \"<|im_start|>\",\n \"<|im_end|>\",\n \"<|tool_list_start|>\",\n \"<|tool_list_end|>\",\n \"<|tool_call_start|>\",\n \"<|tool_call_end|>\",\n \"<|tool_response_start|>\",\n \"<|tool_response_end|>\",\n \"<|reserved_4|>\",\n \"<|reserved_5|>\"\n ],\n \"truncated\": true\n },\n \"tokenizer.ggml.token_type\": {\n \"type\": \"array\",\n \"element_type\": \"INT32\",\n \"count\": 65536,\n \"preview\": [\n 3,\n 3,\n 3,\n 3,\n 3,\n 3,\n 3,\n 3,\n 3,\n 3,\n 3,\n 3,\n 3,\n 3,\n 1,\n 1\n ],\n \"truncated\": true\n },\n \"tokenizer.ggml.merges\": {\n \"type\": \"array\",\n \"element_type\": \"STRING\",\n \"count\": 63683,\n \"preview\": [\n \"Ċ Ċ\",\n \"Ċ ĊĊ\",\n \"ĊĊ Ċ\",\n \"Ċ ĊĊĊ\",\n \"ĊĊ ĊĊ\",\n \"ĊĊĊ Ċ\",\n \"Ċ ĊĊĊĊ\",\n \"ĊĊ ĊĊĊ\",\n \"ĊĊĊ ĊĊ\",\n \"ĊĊĊĊ Ċ\",\n \"Ċ ĊĊĊĊĊ\",\n \"ĊĊ ĊĊĊĊ\",\n \"ĊĊĊ ĊĊĊ\",\n \"ĊĊĊĊ ĊĊ\",\n \"ĊĊĊĊĊ Ċ\",\n \"Ċ ĊĊĊĊĊĊ\"\n ],\n \"truncated\": true\n },\n \"tokenizer.ggml.bos_token_id\": 1,\n \"tokenizer.ggml.eos_token_id\": 7,\n \"tokenizer.ggml.padding_token_id\": 0,\n \"tokenizer.ggml.add_bos_token\": true,\n \"tokenizer.ggml.add_sep_token\": false,\n \"tokenizer.ggml.add_eos_token\": false,\n \"tokenizer.chat_template\": \"{{- bos_token -}}\\n{%- set keep_past_thinking = keep_past_thinking | default(false) -%}\\n{%- set ns = namespace(system_prompt=\\\"\\\") -%}\\n{%- if messages[0][\\\"role\\\"] == \\\"system\\\" -%}\\n {%- set ns.system_prompt = messages[0][\\\"content\\\"] -%}\\n {%- set messages = messages[1:] -%}\\n{%- endif -%}\\n{%- if tools -%}\\n {%- set ns.system_prompt = ns.system_prompt + (\\\"\\\\n\\\" if ns.system_prompt else \\\"\\\") + \\\"List of tools: [\\\" -%}\\n {%- for tool in tools -%}\\n {%- if tool is not string -%}\\n {%- set tool = tool | tojson -%}\\n {%- endif -%}\\n {%- set ns.system_prompt = ns.system_prompt + tool -%}\\n {%- if not loop.last -%}\\n {%- set ns.system_prompt = ns.system_prompt + \\\", \\\" -%}\\n {%- endif -%}\\n {%- endfor -%}\\n {%- set ns.system_prompt = ns.system_prompt + \\\"]\\\" -%}\\n{%- endif -%}\\n{%- if ns.system_prompt -%}\\n {{- \\\"<|im_start|>system\\\\n\\\" + ns.system_prompt + \\\"<|im_end|>\\\\n\\\" -}}\\n{%- endif -%}\\n{%- set ns.last_assistant_index = -1 -%}\\n{%- for message in messages -%}\\n {%- if message[\\\"role\\\"] == \\\"assistant\\\" -%}\\n {%- set ns.last_assistant_index = loop.index0 -%}\\n {%- endif -%}\\n{%- endfor -%}\\n{%- for message in messages -%}\\n {{- \\\"<|im_start|>\\\" + message[\\\"role\\\"] + \\\"\\\\n\\\" -}}\\n {%- set content = message[\\\"content\\\"] -%}\\n {%- if content is not string -%}\\n {%- set content = content | tojson -%}\\n {%- endif -%}\\n {%- if message[\\\"role\\\"] == \\\"assistant\\\" and not keep_past_thinking and loop.index0 != ns.last_assistant_index -%}\\n {%- if \\\"\\\" in content -%}\\n {%- set content = content.split(\\\"\\\")[-1] | trim -%}\\n {%- endif -%}\\n {%- endif -%}\\n {{- content + \\\"<|im_end|>\\\\n\\\" -}}\\n{%- endfor -%}\\n{%- if add_generation_prompt -%}\\n {{- \\\"<|im_start|>assistant\\\\n\\\" -}}\\n{%- endif -%}\",\n \"general.quantization_version\": 2,\n \"general.file_type\": 7,\n \"gguf_version\": 3,\n \"endianness\": \"little\",\n \"metadata_keys\": [\n \"general.architecture\",\n \"general.type\",\n \"general.name\",\n \"general.finetune\",\n \"general.size_label\",\n \"general.license\",\n \"general.license.name\",\n \"general.license.link\",\n \"general.tags\",\n \"general.languages\",\n \"lfm2.block_count\",\n \"lfm2.context_length\",\n \"lfm2.embedding_length\",\n \"lfm2.feed_forward_length\",\n \"lfm2.attention.head_count\",\n \"lfm2.attention.head_count_kv\",\n \"lfm2.rope.freq_base\",\n \"lfm2.attention.layer_norm_rms_epsilon\",\n \"lfm2.vocab_size\",\n \"lfm2.shortconv.l_cache\",\n \"tokenizer.ggml.model\",\n \"tokenizer.ggml.pre\",\n \"tokenizer.ggml.tokens\",\n \"tokenizer.ggml.token_type\",\n \"tokenizer.ggml.merges\",\n \"tokenizer.ggml.bos_token_id\",\n \"tokenizer.ggml.eos_token_id\",\n \"tokenizer.ggml.padding_token_id\",\n \"tokenizer.ggml.add_bos_token\",\n \"tokenizer.ggml.add_sep_token\",\n \"tokenizer.ggml.add_eos_token\",\n \"tokenizer.chat_template\",\n \"general.quantization_version\",\n \"general.file_type\"\n ],\n \"tensor_count\": 148,\n \"tensor_type_counts\": {\n \"Q8_0\": 93,\n \"F32\": 55\n },\n \"tensor_type_parameter_counts\": {\n \"Q8_0\": 1170210816,\n \"F32\": 129792\n }\n },\n \"warnings\": []\n}\n```\n\n## Sample Huggingface Output\n\nSample hf-readme output for (`LFM2.5-1.2B-Instruct-Q8_0.gguf`)[https://huggingface.co/LiquidAI/LFM2.5-1.2B-Instruct-GGUF]:\n\n```markdown\n---\ntitle: \"LFM2.5-1.2B-Instruct-Q8_0\"\nshort_description: \"GGUF model artifact for LFM2.5-1.2B-Instruct-Q8_0 with 1.17B parameters, 1.2B, Q5_1, 128.00K context\"\ntags:\n - \"liquid\"\n - \"lfm2.5\"\n - \"edge\"\n - \"text-generation\"\n - \"gguf\"\n - \"lfm2\"\n - \"q5_1\"\n---\n\n# LFM2.5-1.2B-Instruct-Q8_0\n\nGGUF model artifact for LFM2.5-1.2B-Instruct-Q8_0 with 1.17B parameters, 1.2B, Q5_1, 128.00K context\n\nThis README content was generated by `L-BOM` from a local model artifact.\n\n## Artifact details\n\n- **Filename:** `LFM2.5-1.2B-Instruct-Q8_0.gguf`\n- **Path:** `C:\\models\\LFM2.5-1.2B-Instruct-GGUF\\LFM2.5-1.2B-Instruct-Q8_0.gguf`\n- **Format:** `gguf`\n- **File size:** `1.16 GiB` (1,246,253,888 bytes)\n- **SHA256:** `f6b981dcb86917fa463f78a362320bd5e2dc45445df147287eedb85e5a30d26a`\n- **Architecture:** `lfm2`\n- **Parameters:** `1,170,340,608` (1.17B)\n- **Size label:** `1.2B`\n- **Quantization:** `Q5_1`\n- **Context length:** `128,000`\n- **Vocabulary size:** `65,536`\n\n## Model metadata\n\n- **License:** `lfm1.0`\n- **License reference:** `LICENSE`\n- **Languages:** `en`, `ar`, `zh`, `fr`, `de`, `ja`, `ko`, `es`\n- **Tags:** `liquid`, `lfm2.5`, `edge`, `text-generation`, `gguf`, `lfm2`, `q5_1`\nGenerated with L-BOM. Contribute to L-BOM 💘 development: https://github.com/CHKDSKLabs/l-bom\n```\n\n\n#### License\n\nThis project is licensed under the MIT License. See `LICENSE` for the full text.","has_starred","hub_user","immutable_tags_settings",{"_85":11,"_86":87},"enabled","rules",[88],".*","is_automated","permissions",{"_92":22,"_93":11,"_94":11},"read","write","admin","user","storage_size",74661732,"orgData","recentTags",[101,146],{"_102":55,"_103":104,"_105":106,"_107":108,"_109":110,"_111":112,"_61":135,"_136":104,"_137":33,"_138":67,"_43":139,"_140":141,"_142":120,"_143":135,"_144":76,"_145":22},"content_type","creator",40704338,"digest","sha256:0bdfbbfe5f3eb3f2468d439793c9b1af8ca43a042cbd80420dfc678d24f13715","full_size",74603955,"id",1112927156,"images",[113,129],{"_114":115,"_105":116,"_117":118,"_119":120,"_121":122,"_123":124,"_125":118,"_126":-5,"_127":108,"_73":76,"_128":-5},"architecture","amd64","sha256:0853926c9109eba72e37c41032432abedafba8dd2b6c5559553be2b4b4cdf701","features","","last_pulled","2026-11-03T03:55:51.157696134Z","last_pushed","2026-03-26T15:40:24.789712639Z","os","linux","os_features","os_version","size","variant",{"_114":130,"_105":131,"_117":118,"_119":132,"_121":133,"_123":130,"_125":118,"_126":-5,"_127":134,"_73":76,"_128":-5},"unknown","sha256:981f98fb42f5aaa1dec040639dde50a9f0cf684ccc2bbe318d42e2d3b5866930","2026-10-29T04:20:51.29394776Z","2026-03-26T15:40:24.748503538Z",8180,"2026-03-26T15:40:25.727864Z","last_updater","last_updater_username","media_type","latest","repository",30564352,"tag_last_pulled","tag_last_pushed","tag_status","v2",{"_102":55,"_103":104,"_105":147,"_107":108,"_109":148,"_111":149,"_61":159,"_136":104,"_137":33,"_138":67,"_43":160,"_140":141,"_142":156,"_143":159,"_144":76,"_145":22},"sha256:e4f8bc49487e441fa6748e459d4bbf60f7553250757fab057be05cc6ac424376",1112926757,[150,154],{"_114":115,"_105":151,"_117":118,"_119":152,"_121":153,"_123":124,"_125":118,"_126":-5,"_127":108,"_73":76,"_128":-5},"sha256:86d77a95690e616e025ad186e9229263b05e3a4b2c870884af1fc9132203f301","2026-10-31T19:30:34.570726458Z","2026-03-26T15:40:36.169714205Z",{"_114":130,"_105":155,"_117":118,"_119":156,"_121":157,"_123":130,"_125":118,"_126":-5,"_127":158,"_73":76,"_128":-5},"sha256:da651b74c0299c1321cbbbb9c80f56608073af22626010920e8c67dc81b7f97d","2026-10-31T19:30:34.572257019Z","2026-03-26T15:40:36.185037534Z",8182,"2026-03-26T15:40:36.965785Z","v0.2.0","sbxKitMetadata","isPotentialSpam","isHubSbxKitsEnabled","showSbxRunInCloud","showSbxLogoOverride","sbxTrademarkText","displaySecurityMetadata","tagAttestations","tagsHaveAttestations",[],"selectedTag","attestationsUrl","routes/_layout.r.$namespace.$reponame.tags",{"_38":175,"_185":186,"_169":201,"_202":11},{"_40":176,"_53":180,"_56":57,"_58":59,"_60":11,"_61":62,"_63":64,"_65":181,"_43":35,"_32":33,"_68":69,"_70":55,"_71":72,"_73":74,"_75":76,"_77":-5,"_78":72,"_79":80,"_81":11,"_82":33,"_83":182,"_89":11,"_90":184,"_95":33,"_96":97},[177,178,179],{"_43":44,"_45":46},{"_43":48,"_45":49},{"_43":51,"_45":52},[55],[67],{"_85":11,"_86":183},[88],{"_92":22,"_93":11,"_94":11},"tags",{"_187":188,"_189":-5,"_190":-5,"_191":192},"count",2,"next","previous","results",[193,197],{"_102":55,"_103":104,"_105":147,"_107":108,"_109":148,"_111":194,"_61":159,"_136":104,"_137":33,"_138":67,"_43":160,"_140":141,"_142":156,"_143":159,"_144":76,"_145":22},[195,196],{"_114":115,"_105":151,"_117":118,"_119":152,"_121":153,"_123":124,"_125":118,"_126":-5,"_127":108,"_73":76,"_128":-5},{"_114":130,"_105":155,"_117":118,"_119":156,"_121":157,"_123":130,"_125":118,"_126":-5,"_127":158,"_73":76,"_128":-5},{"_102":55,"_103":104,"_105":106,"_107":108,"_109":110,"_111":198,"_61":135,"_136":104,"_137":33,"_138":67,"_43":139,"_140":141,"_142":120,"_143":135,"_144":76,"_145":22},[199,200],{"_114":115,"_105":116,"_117":118,"_119":120,"_121":122,"_123":124,"_125":118,"_126":-5,"_127":108,"_73":76,"_128":-5},{"_114":130,"_105":131,"_117":118,"_119":132,"_121":133,"_123":130,"_125":118,"_126":-5,"_127":134,"_73":76,"_128":-5},[],"canDeleteTags","actionData","errors"]

jaychkdsk/gui-bom

Tags for jaychkdsk/gui-bom