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<!DOCTYPE html> |
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<html lang="en"> |
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<head> |
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<meta charset="UTF-8" /> |
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<meta name="viewport" content="width=device-width, initial-scale=1.0" /> |
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<script> |
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function strToHtml(str) { |
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let parser = new DOMParser(); |
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return parser.parseFromString(str, "text/html"); |
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} |
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function tableToObj(table) { |
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var rows = table.rows; |
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var propCells = rows[0].cells; |
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var propNames = []; |
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var results = []; |
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var obj, row, cells; |
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for (var i = 0, iLen = propCells.length; i < iLen; i++) { |
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propNames.push( |
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(propCells[i].textContent || propCells[i].innerText).trim() |
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); |
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} |
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for (var j = 1, jLen = rows.length; j < jLen; j++) { |
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cells = rows[j].cells; |
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obj = {}; |
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for (var k = 0; k < iLen; k++) { |
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obj[propNames[k]] = ( |
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cells[k].textContent || cells[k].innerText |
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).trim(); |
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} |
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results.push(obj); |
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} |
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return results; |
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} |
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function formatGpu(gpus) { |
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return gpus.map( |
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(g) => `${g["Product Name"]} - ${g["Memory"].split(",")[0]}` |
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); |
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} |
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|
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const gguf_quants = { |
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"IQ1_S": 1.56, |
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"IQ2_XXS": 2.06, |
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"IQ2_XS": 2.31, |
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"IQ2_S": 2.5, |
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"IQ2_M": 2.7, |
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"IQ3_XXS": 3.06, |
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"IQ3_XS": 3.3, |
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"Q2_K": 3.35, |
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"Q3_K_S": 3.5, |
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"IQ3_S": 3.5, |
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"IQ3_M": 3.7, |
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"Q3_K_M": 3.91, |
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"Q3_K_L": 4.27, |
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"IQ4_XS": 4.25, |
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"IQ4_NL": 4.5, |
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"Q4_0": 4.55, |
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"Q4_K_S": 4.58, |
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"Q4_K_M": 4.85, |
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"Q5_0": 5.54, |
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"Q5_K_S": 5.54, |
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"Q5_K_M": 5.69, |
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"Q6_K": 6.59, |
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"Q8_0": 8.5, |
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} |
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async function modelConfig(hf_model, hf_token) { |
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auth = hf_token == "" ? {} : { |
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headers: { |
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'Authorization': `Bearer ${hf_token}` |
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} |
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} |
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let config = await fetch( |
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`https://huggingface.co/${hf_model}/raw/main/config.json`, auth |
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).then(r => r.json()) |
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let model_size = 0 |
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try { |
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model_size = (await fetch(`https://huggingface.co/${hf_model}/resolve/main/model.safetensors.index.json`, auth).then(r => r.json()))["metadata"]["total_size"] / 2 |
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if (isNaN(model_size)) { |
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throw new Erorr("no size in safetensors metadata") |
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} |
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} catch (e) { |
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try { |
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model_size = (await fetch(`https://huggingface.co/${hf_model}/resolve/main/pytorch_model.bin.index.json`, auth).then(r => r.json()))["metadata"]["total_size"] / 2 |
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if (isNaN(model_size)) { |
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throw new Erorr("no size in pytorch metadata") |
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} |
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} catch { |
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let model_page = await fetch( |
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"https://corsproxy.io/?" + encodeURIComponent(`https://huggingface.co/${hf_model}`) |
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).then(r => r.text()) |
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let el = document.createElement( 'html' ); |
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el.innerHTML = model_page |
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let params_el = el.querySelector('div[data-target="ModelSafetensorsParams"]') |
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if (params_el !== null) { |
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model_size = JSON.parse(params_el.attributes.getNamedItem("data-props").value)["safetensors"]["total"] |
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} else { |
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params_el = el.querySelector('div[data-target="ModelHeader"]') |
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model_size = JSON.parse(params_el.attributes.getNamedItem("data-props").value)["model"]["safetensors"]["total"] |
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} |
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} |
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} |
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config.parameters = model_size |
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return config |
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} |
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function inputBuffer(context=8192, model_config, bsz=512) { |
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const inp_tokens = bsz |
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const inp_embd = model_config["hidden_size"] * bsz |
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const inp_pos = bsz |
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const inp_KQ_mask = context * bsz |
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const inp_K_shift = context |
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const inp_sum = bsz |
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return inp_tokens + inp_embd + inp_pos + inp_KQ_mask + inp_K_shift + inp_sum |
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} |
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function computeBuffer(context=8192, model_config, bsz=512) { |
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if (bsz != 512) { |
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alert("batch size other than 512 is currently not supported for the compute buffer, using batchsize 512 for compute buffer calculation, end result result will be an overestimatition") |
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} |
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return (context / 1024 * 2 + 0.75) * model_config["num_attention_heads"] * 1024 * 1024 |
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} |
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function kvCache(context=8192, model_config, cache_bit=16) { |
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const n_gqa = model_config["num_attention_heads"] / model_config["num_key_value_heads"] |
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const n_embd_gqa = model_config["hidden_size"] / n_gqa |
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const n_elements = n_embd_gqa * (model_config["num_hidden_layers"] * context) |
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const size = 2 * n_elements |
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return size * (cache_bit / 8) |
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} |
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function contextSize(context=8192, model_config, bsz=512, cache_bit=16) { |
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return Number.parseFloat((inputBuffer(context, model_config, bsz) + kvCache(context, model_config, cache_bit) + computeBuffer(context, model_config, bsz)).toFixed(2)) |
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} |
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function modelSize(model_config, bpw=4.5) { |
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return Number.parseFloat((model_config["parameters"] * bpw / 8).toFixed(2)) |
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} |
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async function calculateSizes(format) { |
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try { |
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const model_config = await modelConfig(document.getElementById("modelsearch").value, document.getElementById("hf_token").value) |
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const context = parseInt(document.getElementById("contextsize").value) |
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let bsz = 512 |
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let cache_bit = 16 |
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let bpw = 0 |
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if (format === "gguf") { |
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bsz = parseInt(document.getElementById("batchsize").value) |
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bpw = gguf_quants[document.getElementById("quantsize").innerText] |
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|
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} else if (format == "exl2") { |
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cache_bit = Number.parseInt(document.getElementById("kvCache").value) |
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bpw = Number.parseFloat(document.getElementById("bpw").value) |
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} |
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const model_size = modelSize(model_config, bpw) |
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const context_size = contextSize(context, model_config, bsz, cache_bit) |
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const total_size = ((model_size + context_size) / 2**30) |
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document.getElementById("resultmodel").innerText = (model_size / 2**30).toFixed(2) |
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document.getElementById("resultcontext").innerText = (context_size / 2**30).toFixed(2) |
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const result_total_el = document.getElementById("resulttotal"); |
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result_total_el.innerText = total_size.toFixed(2) |
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const gpu = document.getElementById("gpusearch").value |
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if (gpu !== "") { |
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const vram = parseFloat(gpu.split("-")[1].replace("GB", "").trim()) |
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if (vram - total_size > 0.5) { |
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result_total_el.style.backgroundColor = "#bef264" |
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} else if (vram - total_size > 0) { |
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result_total_el.style.backgroundColor = "#facc15" |
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} else { |
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result_total_el.style.backgroundColor = "#ef4444" |
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} |
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} |
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} catch(e) { |
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alert(e); |
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} |
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} |
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</script> |
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<link href="./styles.css" rel="stylesheet"> |
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<title>Can I run it? - LLM VRAM Calculator</title> |
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</head> |
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<body class="p-8"> |
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<div x-data="{ format: 'gguf' }" class="flex flex-col max-h-screen items-center mt-16 gap-10"> |
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<h1 class="text-xl font-semibold leading-6 text-gray-900"> |
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LLM Model, Can I run it? |
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</h1> |
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<p> |
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To support gated or private repos, you need to <a href="https://huggingface.co/settings/tokens" style="color: #4444ff"><b>create an authentification token</b></a>, to check the box <span style="color: #6e1818"><b>"Read access to contents of all public gated repos you can access"</b></span> and then enter the token in the field below. |
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</p> |
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|
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<div class="flex flex-col gap-10"> |
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<div class="w-auto flex flex-col gap-4"> |
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|
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<div |
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class="relative" |
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x-data="{ |
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results: null, |
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query: null |
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}" |
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> |
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<label |
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for="gpusearch" |
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class="absolute -top-2 left-2 inline-block bg-white px-1 text-xs font-medium text-gray-900" |
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>Huggingface Token (optional)</label |
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> |
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<input |
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class="block w-full rounded-md border-0 p-3 text-gray-900 shadow-sm ring-1 ring-inset ring-gray-300 placeholder:text-gray-400 focus:ring-2 focus:ring-inset focus:ring-indigo-600 sm:text-sm sm:leading-6" |
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id="hf_token" |
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/> |
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</div> |
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|
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<div |
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class="relative" |
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x-data="{ |
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results: null, |
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query: null |
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}" |
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> |
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<label |
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for="gpusearch" |
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class="absolute -top-2 left-2 inline-block bg-white px-1 text-xs font-medium text-gray-900" |
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>GPU (optional)</label |
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> |
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<input |
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class="block w-full rounded-md border-0 p-3 text-gray-900 shadow-sm ring-1 ring-inset ring-gray-300 placeholder:text-gray-400 focus:ring-2 focus:ring-inset focus:ring-indigo-600 sm:text-sm sm:leading-6" |
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placeholder="GeForce RTX 3090 - 24 GB" |
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id="gpusearch" |
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name="gpusearch" |
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list="gpulist" |
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x-model="query" |
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@keypress.debounce.150ms="results = query === '' ? [] : formatGpu(tableToObj(strToHtml(await fetch('https://corsproxy.io/?https://www.techpowerup.com/gpu-specs/?ajaxsrch=' + query).then(r => r.text())).querySelector('table')))" |
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/> |
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<datalist id="gpulist"> |
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<template x-for="item in results"> |
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<option :value="item" x-text="item"></option> |
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</template> |
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</datalist> |
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</div> |
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|
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<div class="flex flex-row gap-4 relative"> |
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<label |
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for="contextsize" |
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class="absolute -top-2 left-2 inline-block bg-white px-1 text-xs font-medium text-gray-900" |
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> |
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Model (unquantized) |
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</label> |
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<div |
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class="block w-full rounded-md border-0 p-3 text-gray-900 shadow-sm ring-1 ring-inset ring-gray-300 placeholder:text-gray-400 focus:ring-2 focus:ring-inset focus:ring-indigo-600 sm:text-sm sm:leading-6" |
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x-data="{ |
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open: false, |
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value: 'Nexusflow/Starling-LM-7B-beta', |
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results: null, |
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toggle() { |
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if (this.open) { |
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return this.close() |
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} |
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|
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this.$refs.input.focus() |
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|
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this.open = true |
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}, |
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close(focusAfter) { |
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if (! this.open) return |
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|
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this.open = false |
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|
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focusAfter && focusAfter.focus() |
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} |
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}" |
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x-on:keydown.escape.prevent.stop="close($refs.input)" |
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x-id="['model-typeahead']" |
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class="relative" |
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> |
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|
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<input |
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id="modelsearch" |
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x-ref="input" |
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x-on:click="toggle()" |
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@keypress.debounce.150ms="results = (await |
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fetch('https://huggingface.co/api/quicksearch?type=model&q=' + |
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encodeURIComponent(value)).then(r => r.json())).models.filter(m => !m.id.includes('GGUF') && !m.id.includes('AWQ') && !m.id.includes('GPTQ') && !m.id.includes('exl2'));" |
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:aria-expanded="open" |
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:aria-controls="$id('model-typeahead')" |
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x-model="value" |
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class="flex justify-between items-center gap-2 w-full" |
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/> |
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|
|
<div |
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x-ref="panel" |
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x-show="open" |
|
x-transition.origin.top.left |
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x-on:click.outside="close($refs.input)" |
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:id="$id('model-typeahead')" |
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style="display: none" |
|
class="absolute left-0 mt-4 w-full rounded-md bg-white shadow-sm ring-1 ring-inset ring-gray-300 z-10" |
|
> |
|
<template x-for="result in results"> |
|
<a |
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@click="value = result.id; close($refs.input)" |
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x-text="result.id" |
|
class="flex cursor-pointer items-center gap-2 w-full first-of-type:rounded-t-md last-of-type:rounded-b-md px-4 py-2.5 text-left text-sm hover:bg-gray-500/5 disabled:text-gray-500" |
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></a> |
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</template> |
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</div> |
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</div> |
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</div> |
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|
|
|
|
<div class="relative"> |
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<label |
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for="contextsize" |
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class="absolute -top-2 left-2 inline-block bg-white px-1 text-xs font-medium text-gray-900" |
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> |
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Context Size |
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</label> |
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<input |
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value="8192" |
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type="number" |
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name="contextsize" |
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id="contextsize" |
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step="1024" |
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class="block w-full rounded-md border-0 p-3 text-gray-900 shadow-sm ring-1 ring-inset ring-gray-300 placeholder:text-gray-400 focus:ring-2 focus:ring-inset focus:ring-indigo-600 sm:text-sm sm:leading-6" |
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/> |
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</div> |
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|
|
<div class="relative"> |
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<label |
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class="absolute -top-2 left-2 inline-block bg-white px-1 text-xs font-medium text-gray-900" |
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>Quant Format</label |
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> |
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<fieldset |
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x-model="format" |
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class="block w-full rounded-md border-0 p-3 text-gray-900 shadow-sm ring-1 ring-inset ring-gray-300 placeholder:text-gray-400 focus:ring-2 focus:ring-inset focus:ring-indigo-600 sm:text-sm sm:leading-6" |
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> |
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<legend class="sr-only">Quant format</legend> |
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<div |
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class="space-y-4 sm:flex sm:items-center sm:space-x-10 sm:space-y-0" |
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> |
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<div class="flex items-center"> |
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<input |
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id="gguf-format" |
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name="quant-format" |
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type="radio" |
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value="gguf" |
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checked |
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class="h-4 w-4 border-gray-300 text-indigo-600 focus:ring-indigo-600" |
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/> |
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<label |
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for="gguf-format" |
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class="ml-3 block text-sm font-medium leading-6 text-gray-900" |
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>GGUF</label |
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> |
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</div> |
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<div class="flex items-center"> |
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<input |
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id="exl2-format" |
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name="quant-format" |
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type="radio" |
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value="exl2" |
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class="h-4 w-4 border-gray-300 text-indigo-600 focus:ring-indigo-600" |
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/> |
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<label |
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for="exl2-format" |
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class="ml-3 block text-sm font-medium leading-6 text-gray-900" |
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>EXL2</label |
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> |
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</div> |
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<div class="flex items-center"> |
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<input |
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id="gptq-format" |
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name="quant-format" |
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type="radio" |
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disabled |
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value="gptq" |
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class="h-4 w-4 border-gray-300 text-indigo-600 focus:ring-indigo-600" |
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/> |
|
<label |
|
for="gptq-format" |
|
class="ml-3 block text-sm font-medium leading-6 text-gray-900" |
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>GPTQ (coming soon)</label |
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> |
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</div> |
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</div> |
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</fieldset> |
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</div> |
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|
|
<div x-show="format === 'exl2'" class="flex flex-row gap-4"> |
|
<div class="relative flex-grow"> |
|
<label |
|
for="bpw" |
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class="absolute -top-2 left-2 inline-block bg-white px-1 text-xs font-medium text-gray-900" |
|
> |
|
BPW |
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</label> |
|
<input |
|
value="4.5" |
|
type="number" |
|
step="0.01" |
|
id="bpw" |
|
name="bpw" |
|
class="block w-full rounded-md border-0 p-3 text-gray-900 shadow-sm ring-1 ring-inset ring-gray-300 placeholder:text-gray-400 focus:ring-2 focus:ring-inset focus:ring-indigo-600 sm:text-sm sm:leading-6" |
|
/> |
|
</div> |
|
<div |
|
class="flex-shrink relative rounded-md" |
|
> |
|
<div |
|
class="w-fit p-3 h-full flex items-center gap-2 justify-center rounded-md border-0 text-gray-900 shadow-sm ring-1 ring-inset ring-gray-300 placeholder:text-gray-400 focus:ring-2 focus:ring-inset focus:ring-indigo-600 sm:text-sm sm:leading-6" |
|
> |
|
<label |
|
for="kvCache" |
|
class="inline-block bg-white text-xs font-medium text-gray-900" |
|
> |
|
KV Cache |
|
</label> |
|
<select id="kvCache" name="kvCache"> |
|
<option value="16">16 bit</option> |
|
<option value="8">8 bit</option> |
|
<option value="4">4 bit</option> |
|
</select> |
|
</div> |
|
</div> |
|
</div> |
|
|
|
<div x-show="format === 'gguf'" class="relative"> |
|
<div class="flex flex-row gap-4"> |
|
<label |
|
for="contextsize" |
|
class="absolute -top-2 left-2 inline-block bg-white px-1 text-xs font-medium text-gray-900" |
|
> |
|
Quantization Size |
|
</label> |
|
<div |
|
class="block w-full rounded-md border-0 p-3 text-gray-900 shadow-sm ring-1 ring-inset ring-gray-300 placeholder:text-gray-400 focus:ring-2 focus:ring-inset focus:ring-indigo-600 sm:text-sm sm:leading-6" |
|
x-data="{ |
|
open: false, |
|
value: '', |
|
toggle() { |
|
if (this.open) { |
|
return this.close() |
|
} |
|
|
|
this.$refs.button.focus() |
|
|
|
this.open = true |
|
}, |
|
close(focusAfter) { |
|
if (! this.open) return |
|
|
|
this.open = false |
|
|
|
focusAfter && focusAfter.focus() |
|
} |
|
}" |
|
x-on:keydown.escape.prevent.stop="close($refs.button)" |
|
x-id="['dropdown-button']" |
|
class="relative" |
|
> |
|
|
|
<button |
|
x-ref="button" |
|
x-on:click="toggle()" |
|
:aria-expanded="open" |
|
:aria-controls="$id('dropdown-button')" |
|
type="button" |
|
id="quantsize" |
|
x-text="value.length === 0 ? 'Q4_K_S' : value" |
|
class="flex justify-between items-center gap-2 w-full" |
|
> |
|
Q4_K_S |
|
|
|
|
|
<svg |
|
xmlns="http://www.w3.org/2000/svg" |
|
class="h-5 w-5 text-gray-400" |
|
viewBox="0 0 20 20" |
|
fill="currentColor" |
|
> |
|
<path |
|
fill-rule="evenodd" |
|
d="M5.293 7.293a1 1 0 011.414 0L10 10.586l3.293-3.293a1 1 0 111.414 1.414l-4 4a1 1 0 01-1.414 0l-4-4a1 1 0 010-1.414z" |
|
clip-rule="evenodd" |
|
/> |
|
</svg> |
|
</button> |
|
|
|
|
|
<div |
|
x-data="{ quants: [ |
|
'IQ1_S', |
|
'IQ2_XXS', |
|
'IQ2_XS', |
|
'IQ2_S', |
|
'IQ2_M', |
|
'IQ3_XXS', |
|
'IQ3_XS', |
|
'Q2_K', |
|
'Q3_K_S', |
|
'IQ3_S', |
|
'IQ3_M', |
|
'Q3_K_M', |
|
'Q3_K_L', |
|
'IQ4_XS', |
|
'IQ4_NL', |
|
'Q4_0', |
|
'Q4_K_S', |
|
'Q4_K_M', |
|
'Q5_0', |
|
'Q5_K_S', |
|
'Q5_K_M', |
|
'Q6_K', |
|
'Q8_0' |
|
]}" |
|
x-ref="panel" |
|
x-show="open" |
|
x-transition.origin.top.left |
|
x-on:click.outside="close($refs.button)" |
|
:id="$id('dropdown-button')" |
|
style="display: none" |
|
class="absolute left-0 mt-4 w-full rounded-md bg-white shadow-sm ring-1 ring-inset ring-gray-300 z-10" |
|
> |
|
<template x-for="quant in quants"> |
|
<a |
|
@click="value = quant; close($refs.button)" |
|
x-text="quant" |
|
class="flex cursor-pointer items-center gap-2 w-full first-of-type:rounded-t-md last-of-type:rounded-b-md px-4 py-2.5 text-left text-sm hover:bg-gray-500/5 disabled:text-gray-500" |
|
></a> |
|
</template> |
|
</div> |
|
</div> |
|
<div class="relative"> |
|
<label |
|
for="batchsize" |
|
class="absolute -top-2 left-2 inline-block bg-white px-1 text-xs font-medium text-gray-900" |
|
> |
|
Batch Size |
|
</label> |
|
<input |
|
value="512" |
|
type="number" |
|
step="128" |
|
id="batchsize" |
|
class="block w-full rounded-md border-0 p-3 text-gray-900 shadow-sm ring-1 ring-inset ring-gray-300 placeholder:text-gray-400 focus:ring-2 focus:ring-inset focus:ring-indigo-600 sm:text-sm sm:leading-6" |
|
/> |
|
</div> |
|
</div> |
|
</div> |
|
<button |
|
type="button" |
|
class="rounded-md bg-slate-800 px-3 py-2 text-sm font-semibold text-white shadow-sm hover:bg-slate-700 focus-visible:outline focus-visible:outline-2 focus-visible:outline-offset-2 focus-visible:outline-indigo-600" |
|
@click="calculateSizes(format)" |
|
> |
|
Submit |
|
</button> |
|
</div> |
|
<div class="w-auto flex flex-col gap-4"> |
|
<div class="relative"> |
|
<label |
|
class="absolute -top-2 left-2 inline-block bg-white px-1 text-xs font-medium text-gray-900" |
|
> |
|
Model Size (GB) |
|
</label> |
|
<div |
|
id="resultmodel" |
|
class="block w-full rounded-md border-0 p-3 text-gray-900 shadow-sm ring-1 ring-inset ring-gray-300 placeholder:text-gray-400 focus:ring-2 focus:ring-inset focus:ring-indigo-600 sm:text-sm sm:leading-6" |
|
>4.20</div> |
|
</div> |
|
<div class="relative"> |
|
<label |
|
class="absolute -top-2 left-2 inline-block bg-white px-1 text-xs font-medium text-gray-900" |
|
> |
|
Context Size (GB) |
|
</label> |
|
<div |
|
id="resultcontext" |
|
class="block w-full rounded-md border-0 p-3 text-gray-900 shadow-sm ring-1 ring-inset ring-gray-300 placeholder:text-gray-400 focus:ring-2 focus:ring-inset focus:ring-indigo-600 sm:text-sm sm:leading-6" |
|
>6.90</div> |
|
</div> |
|
<div class="relative"> |
|
<label |
|
class="absolute -top-2 left-2 inline-block bg-white px-1 text-xs font-medium text-gray-900" |
|
> |
|
Total Size (GB) |
|
</label> |
|
<div |
|
id="resulttotal" |
|
class="block w-full rounded-md border-0 p-3 text-gray-900 shadow-sm ring-1 ring-inset ring-gray-300 placeholder:text-gray-400 focus:ring-2 focus:ring-inset focus:ring-indigo-600 sm:text-sm sm:leading-6" |
|
>420.69</div> |
|
</div> |
|
</div> |
|
</div> |
|
</div> |
|
<script |
|
src="https://cdn.jsdelivr.net/npm/[email protected]/dist/cdn.min.js" |
|
></script> |
|
<script defer> |
|
calculateSizes("gguf") |
|
</script> |
|
</body> |
|
</html> |
|
|
