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Merge pull request #288 from dusty-nv/dev
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‎docs/portal/css/models.css

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background-position-y: 0px, -74px;
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}
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.gemma-3-header {
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background-image: url('/portal/data/models/images/headers/gemma3.svg'), linear-gradient(90deg, hsl(218.8, 21.2%, 50.3%) 0%, rgb(66, 39, 141) 57%, rgba(63, 82, 166, 0.9) 100%);
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background-size: 48%, 100%;
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background-position-x: 520px, 0px;
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background-position-y: 30px, 0px;
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}
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.hf-smol-header {
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background-image: linear-gradient(90deg, hsl(36.4, 69%, 53.1%) 0%, rgb(66, 39, 141) 56%, rgba(63, 82, 166, 0) 65%),
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url('/portal/data/models/images/headers/smol-v2.webp');

‎docs/portal/data/models/gemma.json

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{
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"gemma-2": {
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"name": "Google Gemma",
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"name": "Google Gemma 2",
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"header": "gemma-header",
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"max_context_len": {"placeholder": 8192},
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"prefill_chunk": {"placeholder": 8192},

‎docs/portal/data/models/gemma3.json

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{
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"gemma-3": {
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"name": "Google Gemma 3",
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"header": "gemma-3-header",
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"max_context_len": {"placeholder": 4096},
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"prefill_chunk": {"placeholder": 4096},
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"blacklist": ["mlc", "llama_cpp"],
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"tags": ["llm"],
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"links": {
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"google": {
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"name": "Google",
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"url": "https://ai.google.dev/gemma"
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}
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}
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},
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"gemma-3-1b-it": {
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"name": "Gemma 3 1B",
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"url": "hf.co/google/gemma-3-1b-it",
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"blacklist": ["mlc", "llama_cpp"],
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"tags": ["gemma-3", "orin"]
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},
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"gemma-3-4b-it": {
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"name": "Gemma 3 4B",
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"url": "hf.co/google/gemma-3-4b-it",
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"blacklist": ["mlc", "llama_cpp"],
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"tags": ["gemma-3", "orin"]
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},
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"gemma-3-12b-it": {
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"name": "Gemma 3 12B",
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"url": "hf.co/google/gemma-3-12b-it",
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"blacklist": ["mlc", "llama_cpp"],
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"tags": ["gemma-3", "orin-nx", "agx-orin"]
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},
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"gemma-3-27b-it": {
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"name": "Gemma 3 27B",
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"url": "hf.co/google/gemma-3-27b-it",
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"blacklist": ["mlc", "llama_cpp"],
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"tags": ["gemma-3", "agx-orin"]
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}
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}

‎docs/portal/data/models/images/headers/gemma3.svg

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‎docs/portal/dist/db.json

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"name": "AWQ TinyChat",
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"tags": "api"
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},
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"vllm": {
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"name": "vLLM",
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"tags": "api",
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"links": {
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"mlc": {
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"name": "vLLM",
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"url": "https://github.com/vllm-project/vllm"
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}
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}
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},
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"vllm:jp6": {
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"name": "dustynv/vllm:0.7.4-r36.4.0-cu128-24.04",
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"docker_image": "dustynv/vllm:0.7.4-r36.4.0-cu128-24.04",
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"docker_cmd": "vllm serve ${MODEL}",
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"docker_args": "--host=${SERVER_ADDR} --port=${SERVER_PORT} --dtype=auto --max-num-seqs=${MAX_BATCH_SIZE} --max-model-len=${MAX_CONTEXT_LEN} --gpu-memory-utilization=0.75",
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"docker_options": "-it --rm",
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"server_host": "0.0.0.0:9000",
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"tags": [
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"container",
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"vllm",
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"l4t-r36"
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]
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},
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"sudonim": {
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"docker_cmd": "sudonim serve",
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"docker_options": "-it --rm",
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],
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"help": "The inference API and type of quantization used."
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},
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"fp16": {
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"name": "fp16 (vLLM)",
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"tags": [
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"quantization",
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"vllm"
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]
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},
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"q4f16_ft": {
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"name": "q4f16_ft (MLC)",
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"tags": [
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"max_context_len": 8192,
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"prefill_chunk": 8192
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},
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"gemma-3": {
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"name": "Google Gemma 3",
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"header": "gemma-3-header",
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"max_context_len": {
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"placeholder": 4096
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},
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"prefill_chunk": {
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},
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"blacklist": [
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"tags": [
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"links": {
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"google": {
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"name": "Google",
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"url": "https://ai.google.dev/gemma"
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},
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"hf": {
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"name": "Hugging Face",
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"color": "yellow",
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"url": "Google-Gemma-3"
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}
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},
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"url": "Google-Gemma-3"
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},
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"gemma-3-1b-it": {
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"name": "Gemma 3 1B",
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"url": "hf.co/google/gemma-3-1b-it",
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"mlc",
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"llama_cpp"
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],
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"tags": [
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"links": {
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"hf": {
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"color": "yellow",
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"url": "hf.co/google/gemma-3-1b-it"
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}
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},
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"created_at": "2025-03-10 12:09:00+00:00",
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"last_modified": "2025-03-12 14:50:25+00:00"
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},
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"gemma-3-4b-it": {
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"name": "Gemma 3 4B",
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"url": "hf.co/google/gemma-3-4b-it",
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"blacklist": [
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],
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"tags": [
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"orin"
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],
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"links": {
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"hf": {
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"name": "Hugging Face",
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"color": "yellow",
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"url": "hf.co/google/gemma-3-4b-it"
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}
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},
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"created_at": "2025-02-20 21:20:07+00:00",
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"last_modified": "2025-03-12 08:30:08+00:00"
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},
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"gemma-3-12b-it": {
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"url": "hf.co/google/gemma-3-12b-it",
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"blacklist": [
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"mlc",
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"tags": [
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"hf": {
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"color": "yellow",
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"url": "hf.co/google/gemma-3-12b-it"
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}
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},
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"last_modified": "2025-03-12 08:30:33+00:00"
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},
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"gemma-3-27b-it": {
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"name": "Gemma 3 27B",
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"url": "hf.co/google/gemma-3-27b-it",
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"mlc",
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"llama_cpp"
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],
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"tags": [
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"gemma-3",
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"agx-orin"
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],
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"links": {
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"hf": {
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"name": "Hugging Face",
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"color": "yellow",
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"url": "hf.co/google/gemma-3-27b-it"
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}
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},
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"created_at": "2025-03-01 19:10:19+00:00",
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"last_modified": "2025-03-12 08:30:59+00:00"
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},
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"gemma-3-1b-it-fp16-vllm-jp6": {
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"title": "Gemma 3 1B \u276f vLLM fp16 \u276f JetPack 6.1+",
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"quantization": "fp16",
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"tags": [
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"gemma-3-1b-it",
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"fp16",
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"vllm:jp6"
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]
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},
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"gemma-3-1b-it-q4_0-ollama-jp6": {
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"title": "Gemma 3 1B \u276f ollama q4_0 \u276f JetPack 6.1+",
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"quantization": "q4_0",
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"tags": [
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"gemma-3-1b-it",
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"q4_0",
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"ollama:jp6"
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]
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},
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"gemma-3-4b-it-fp16-vllm-jp6": {
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"title": "Gemma 3 4B \u276f vLLM fp16 \u276f JetPack 6.1+",
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"quantization": "fp16",
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"tags": [
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"gemma-3-4b-it",
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"fp16",
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"vllm:jp6"
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]
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},
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"gemma-3-4b-it-q4_0-ollama-jp6": {
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"title": "Gemma 3 4B \u276f ollama q4_0 \u276f JetPack 6.1+",
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"quantization": "q4_0",
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"tags": [
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"gemma-3-4b-it",
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"q4_0",
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"ollama:jp6"
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]
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},
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"gemma-3-12b-it-fp16-vllm-jp6": {
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"title": "Gemma 3 12B \u276f vLLM fp16 \u276f JetPack 6.1+",
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"quantization": "fp16",
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"tags": [
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"gemma-3-12b-it",
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"fp16",
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"vllm:jp6"
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]
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},
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"gemma-3-12b-it-q4_0-ollama-jp6": {
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"title": "Gemma 3 12B \u276f ollama q4_0 \u276f JetPack 6.1+",
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"quantization": "q4_0",
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"tags": [
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"gemma-3-12b-it",
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"q4_0",
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"ollama:jp6"
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]
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},
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"gemma-3-27b-it-fp16-vllm-jp6": {
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"title": "Gemma 3 27B \u276f vLLM fp16 \u276f JetPack 6.1+",
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"quantization": "fp16",
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"tags": [
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"gemma-3-27b-it",
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"fp16",
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"vllm:jp6"
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]
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},
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"gemma-3-27b-it-q4_0-ollama-jp6": {
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"title": "Gemma 3 27B \u276f ollama q4_0 \u276f JetPack 6.1+",
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"quantization": "q4_0",
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"tags": [
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"gemma-3-27b-it",
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"q4_0",
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"ollama:jp6"
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]
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},
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"deepseek-r1-distill": {
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"name": "DeepSeek R1",
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"header": "deepseek-header",
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"open_webui"
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],
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"child_order": [
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"gemma-3",
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"qwen-2.5",
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"llama-3",

‎docs/portal/dist/nanolab.css

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}
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.gemma-3-header {
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background-image: url('/portal/data/models/images/headers/gemma3.svg'), linear-gradient(90deg, hsl(218.8, 21.2%, 50.3%) 0%, rgb(66, 39, 141) 57%, rgba(63, 82, 166, 0.9) 100%);
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background-size: 48%, 100%;
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background-position-x: 520px, 0px;
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background-position-y: 30px, 0px;
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}
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.hf-smol-header {
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background-image: linear-gradient(90deg, hsl(36.4, 69%, 53.1%) 0%, rgb(66, 39, 141) 56%, rgba(63, 82, 166, 0) 65%),
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url('/portal/data/models/images/headers/smol-v2.webp');

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