Upload index.html
Browse filesAdded a sanity check when HF returns an error instead of model info
- index.html +485 -575
index.html
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@@ -1,575 +1,485 @@
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<!DOCTYPE html>
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<html lang="en">
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class="
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<div
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for="batchsize"
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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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Batch Size
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</label>
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<input
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value="512"
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type="number"
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step="128"
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id="batchsize"
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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>
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</div>
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<button
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type="button"
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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"
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@click="calculateSizes(format, context_loc)"
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>
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Submit
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</button>
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</div>
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<div class="w-auto flex flex-col gap-4">
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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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>
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Model Size (GB)
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</label>
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<div
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id="resultmodel"
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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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>4.20</div>
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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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>
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Context Size (GB)
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</label>
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<div
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id="resultcontext"
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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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>6.90</div>
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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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>
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Total Size (GB)
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</label>
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<div
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id="resulttotal"
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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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>420.69</div>
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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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>
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Layer size (GB)
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</label>
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<div
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id="layersize"
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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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| 552 |
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>42.69</div>
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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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>
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Layers offloaded to GPU (out of total)
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</label>
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<div
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id="layersoffload"
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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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>42</div>
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</div>
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</div>
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</div>
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</div>
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<script
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src="https://cdn.jsdelivr.net/npm/[email protected]/dist/cdn.min.js"
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></script>
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<script defer>
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calculateSizes("gguf", "vram")
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</script>
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</body>
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</html>
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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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//Short, jQuery-independent function to read html table and write them into an Array.
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//Kudos to RobG at StackOverflow
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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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// Use the first row for the property names
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// Could use a header section but result is the same if
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// there is only one header row
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for (var i = 0, iLen = propCells.length; i < iLen; i++) {
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propNames.push(
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| 27 |
+
(propCells[i].textContent || propCells[i].innerText).trim()
|
| 28 |
+
);
|
| 29 |
+
}
|
| 30 |
+
|
| 31 |
+
// Use the rows for data
|
| 32 |
+
// Could use tbody rows here to exclude header & footer
|
| 33 |
+
// but starting from 1 gives required result
|
| 34 |
+
for (var j = 1, jLen = rows.length; j < jLen; j++) {
|
| 35 |
+
cells = rows[j].cells;
|
| 36 |
+
obj = {};
|
| 37 |
+
|
| 38 |
+
for (var k = 0; k < iLen; k++) {
|
| 39 |
+
obj[propNames[k]] = (
|
| 40 |
+
cells[k].textContent || cells[k].innerText
|
| 41 |
+
).trim();
|
| 42 |
+
}
|
| 43 |
+
results.push(obj);
|
| 44 |
+
}
|
| 45 |
+
return results;
|
| 46 |
+
}
|
| 47 |
+
|
| 48 |
+
function formatGpu(gpus) {
|
| 49 |
+
return gpus.map(
|
| 50 |
+
(g) => `${g["Product Name"]} - ${g["Memory"].split(",")[0]}`
|
| 51 |
+
);
|
| 52 |
+
}
|
| 53 |
+
|
| 54 |
+
const gguf_quants = {
|
| 55 |
+
"IQ1_S": 1.56,
|
| 56 |
+
"IQ1_M": 1.75,
|
| 57 |
+
"IQ2_XXS": 2.06,
|
| 58 |
+
"IQ2_XS": 2.31,
|
| 59 |
+
"IQ2_S": 2.5,
|
| 60 |
+
"IQ3_XXS": 3.06,
|
| 61 |
+
"IQ3_XS": 3.3,
|
| 62 |
+
"IQ3_S": 3.44,
|
| 63 |
+
"IQ3_M": 3.66,
|
| 64 |
+
"Q2_K": 3.35,
|
| 65 |
+
"Q3_K_S": 3.5,
|
| 66 |
+
"Q3_K_M": 3.91,
|
| 67 |
+
"Q3_K_L": 4.27,
|
| 68 |
+
"IQ4_XS": 4.25,
|
| 69 |
+
"Q4_0": 4.55,
|
| 70 |
+
"Q4_K_S": 4.58,
|
| 71 |
+
"Q4_K_M": 4.85,
|
| 72 |
+
"Q5_0": 5.54,
|
| 73 |
+
"Q5_K_S": 5.54,
|
| 74 |
+
"Q5_K_M": 5.69,
|
| 75 |
+
"Q6_K": 6.59,
|
| 76 |
+
"Q8_0": 8.5,
|
| 77 |
+
}
|
| 78 |
+
|
| 79 |
+
function sanitize(string) {
|
| 80 |
+
const map = {
|
| 81 |
+
'&': '&',
|
| 82 |
+
'<': '<',
|
| 83 |
+
'>': '>',
|
| 84 |
+
'"': '"',
|
| 85 |
+
"'": ''',
|
| 86 |
+
"/": '/',
|
| 87 |
+
};
|
| 88 |
+
const reg = /[&<>"'/]/ig;
|
| 89 |
+
return string.replace(reg, (match) => (map[match]));
|
| 90 |
+
}
|
| 91 |
+
|
| 92 |
+
async function modelConfig(hf_model) {
|
| 93 |
+
let config = {}
|
| 94 |
+
|
| 95 |
+
try {
|
| 96 |
+
config = await fetch(
|
| 97 |
+
`https://huggingface.co/${hf_model}/raw/main/config.json`
|
| 98 |
+
).then(r => r.json());
|
| 99 |
+
} catch (err) {
|
| 100 |
+
alert(sanitize(err));
|
| 101 |
+
return config;
|
| 102 |
+
}
|
| 103 |
+
|
| 104 |
+
let model_size = 0
|
| 105 |
+
try {
|
| 106 |
+
model_size = (await fetch(`https://huggingface.co/${hf_model}/resolve/main/model.safetensors.index.json`).then(r => r.json()))["metadata"]["total_size"] / 2
|
| 107 |
+
if (isNaN(model_size)) {
|
| 108 |
+
throw new Erorr("no size in safetensors metadata")
|
| 109 |
+
}
|
| 110 |
+
} catch (e) {
|
| 111 |
+
try {
|
| 112 |
+
model_size = (await fetch(`https://huggingface.co/${hf_model}/resolve/main/pytorch_model.bin.index.json`).then(r => r.json()))["metadata"]["total_size"] / 2
|
| 113 |
+
if (isNaN(model_size)) {
|
| 114 |
+
throw new Erorr("no size in pytorch metadata")
|
| 115 |
+
}
|
| 116 |
+
} catch {
|
| 117 |
+
let model_page = await fetch(
|
| 118 |
+
"https://corsproxy.io/?" + encodeURIComponent(`https://huggingface.co/${hf_model}`)
|
| 119 |
+
).then(r => r.text())
|
| 120 |
+
let el = document.createElement('html');
|
| 121 |
+
el.innerHTML = model_page
|
| 122 |
+
let params_el = el.querySelector('div[data-target="ModelSafetensorsParams"]')
|
| 123 |
+
if (params_el !== null) {
|
| 124 |
+
model_size = JSON.parse(params_el.attributes.getNamedItem("data-props").value)["safetensors"]["total"]
|
| 125 |
+
} else {
|
| 126 |
+
params_el = el.querySelector('div[data-target="ModelHeader"]')
|
| 127 |
+
model_size = JSON.parse(params_el.attributes.getNamedItem("data-props").value)["model"]["safetensors"]["total"]
|
| 128 |
+
}
|
| 129 |
+
}
|
| 130 |
+
}
|
| 131 |
+
config.parameters = model_size
|
| 132 |
+
return config
|
| 133 |
+
}
|
| 134 |
+
|
| 135 |
+
function inputBuffer(context = 8192, model_config, bsz = 512) {
|
| 136 |
+
/* Calculation taken from github:ggerganov/llama.cpp/llama.cpp:11248
|
| 137 |
+
ctx->inp_tokens = ggml_new_tensor_1d(ctx->ctx_input, GGML_TYPE_I32, cparams.n_batch);
|
| 138 |
+
ctx->inp_embd = ggml_new_tensor_2d(ctx->ctx_input, GGML_TYPE_F32, hparams.n_embd, cparams.n_batch);
|
| 139 |
+
ctx->inp_pos = ggml_new_tensor_1d(ctx->ctx_input, GGML_TYPE_I32, cparams.n_batch);
|
| 140 |
+
ctx->inp_KQ_mask = ggml_new_tensor_2d(ctx->ctx_input, GGML_TYPE_F32, cparams.n_ctx, cparams.n_batch);
|
| 141 |
+
ctx->inp_K_shift = ggml_new_tensor_1d(ctx->ctx_input, GGML_TYPE_I32, cparams.n_ctx);
|
| 142 |
+
ctx->inp_sum = ggml_new_tensor_2d(ctx->ctx_input, GGML_TYPE_F32, 1, cparams.n_batch);
|
| 143 |
+
|
| 144 |
+
n_embd is hidden size (github:ggeranov/llama.cpp/convert.py:248)
|
| 145 |
+
*/
|
| 146 |
+
const inp_tokens = bsz
|
| 147 |
+
const inp_embd = model_config["hidden_size"] * bsz
|
| 148 |
+
const inp_pos = bsz
|
| 149 |
+
const inp_KQ_mask = context * bsz
|
| 150 |
+
const inp_K_shift = context
|
| 151 |
+
const inp_sum = bsz
|
| 152 |
+
|
| 153 |
+
return inp_tokens + inp_embd + inp_pos + inp_KQ_mask + inp_K_shift + inp_sum
|
| 154 |
+
}
|
| 155 |
+
|
| 156 |
+
function computeBuffer(context = 8192, model_config, bsz = 512) {
|
| 157 |
+
if (bsz != 512) {
|
| 158 |
+
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")
|
| 159 |
+
}
|
| 160 |
+
return (context / 1024 * 2 + 0.75) * model_config["num_attention_heads"] * 1024 * 1024
|
| 161 |
+
}
|
| 162 |
+
|
| 163 |
+
function kvCache(context = 8192, model_config, cache_bit = 16) {
|
| 164 |
+
const n_gqa = model_config["num_attention_heads"] / model_config["num_key_value_heads"]
|
| 165 |
+
const n_embd_gqa = model_config["hidden_size"] / n_gqa
|
| 166 |
+
const n_elements = n_embd_gqa * (model_config["num_hidden_layers"] * context)
|
| 167 |
+
const size = 2 * n_elements
|
| 168 |
+
return size * (cache_bit / 8)
|
| 169 |
+
}
|
| 170 |
+
|
| 171 |
+
function contextSize(context = 8192, model_config, bsz = 512, cache_bit = 16) {
|
| 172 |
+
return Number.parseFloat((inputBuffer(context, model_config, bsz) + kvCache(context, model_config, cache_bit) + computeBuffer(context, model_config, bsz)).toFixed(2))
|
| 173 |
+
}
|
| 174 |
+
|
| 175 |
+
function modelSize(model_config, bpw = 4.5) {
|
| 176 |
+
return Number.parseFloat((model_config["parameters"] * bpw / 8).toFixed(2))
|
| 177 |
+
}
|
| 178 |
+
|
| 179 |
+
async function calculateSizes(format, context_loc) {
|
| 180 |
+
|
| 181 |
+
format = "gguf"
|
| 182 |
+
|
| 183 |
+
try {
|
| 184 |
+
const model_config = await modelConfig(document.getElementById("modelsearch").value)
|
| 185 |
+
const context = parseInt(document.getElementById("contextsize").value)
|
| 186 |
+
let bsz = 512
|
| 187 |
+
let cache_bit = 16
|
| 188 |
+
let bpw = 0
|
| 189 |
+
if (format === "gguf") {
|
| 190 |
+
bsz = parseInt(document.getElementById("batchsize").value)
|
| 191 |
+
bpw = gguf_quants[document.getElementById("quantsize").innerText]
|
| 192 |
+
|
| 193 |
+
} else if (format == "exl2") {
|
| 194 |
+
cache_bit = Number.parseInt(document.getElementById("kvCache").value)
|
| 195 |
+
bpw = Number.parseFloat(document.getElementById("bpw").value)
|
| 196 |
+
}
|
| 197 |
+
|
| 198 |
+
const model_size = modelSize(model_config, bpw)
|
| 199 |
+
const context_size = contextSize(context, model_config, bsz, cache_bit)
|
| 200 |
+
const total_size = ((model_size + context_size) / 2 ** 30)
|
| 201 |
+
document.getElementById("resultmodel").innerText = (model_size / 2 ** 30).toFixed(2)
|
| 202 |
+
document.getElementById("resultcontext").innerText = (context_size / 2 ** 30).toFixed(2)
|
| 203 |
+
const result_total_el = document.getElementById("resulttotal");
|
| 204 |
+
result_total_el.innerText = total_size.toFixed(2)
|
| 205 |
+
|
| 206 |
+
const allocated_vram = Number.parseInt(document.getElementById("maxvram").value);
|
| 207 |
+
const vram = allocated_vram
|
| 208 |
+
if (vram - total_size > 0.5) {
|
| 209 |
+
result_total_el.style.backgroundColor = "#bef264"
|
| 210 |
+
} else if (vram - total_size > 0) {
|
| 211 |
+
result_total_el.style.backgroundColor = "#facc15"
|
| 212 |
+
} else {
|
| 213 |
+
result_total_el.style.backgroundColor = "#ef4444"
|
| 214 |
+
}
|
| 215 |
+
|
| 216 |
+
const layer_size = ((model_size / 2 ** 30) / model_config["num_hidden_layers"])
|
| 217 |
+
const layer_size_el = document.getElementById("layersize");
|
| 218 |
+
layer_size_el.innerText = layer_size.toFixed(2)
|
| 219 |
+
|
| 220 |
+
const context_dealloc = context_loc === "vram" ? (context_size / 2 ** 30) : 0;
|
| 221 |
+
const layers_offload = Math.floor((allocated_vram - context_dealloc) / layer_size)
|
| 222 |
+
|
| 223 |
+
const layers_offload_el = document.getElementById("layersoffload");
|
| 224 |
+
layers_offload_el.innerText = `${layers_offload > model_config["num_hidden_layers"] ? model_config["num_hidden_layers"] : Math.max(0, layers_offload)}/${model_config["num_hidden_layers"]}`
|
| 225 |
+
|
| 226 |
+
} catch (e) {
|
| 227 |
+
alert(e);
|
| 228 |
+
}
|
| 229 |
+
}
|
| 230 |
+
</script>
|
| 231 |
+
<link href="./styles.css" rel="stylesheet">
|
| 232 |
+
<title>Can I split it? - GGUF VRAM Calculator</title>
|
| 233 |
+
</head>
|
| 234 |
+
|
| 235 |
+
<body class="p-8">
|
| 236 |
+
<div x-data="{ format: 'gguf', context_loc: 'vram' }" class="flex flex-col max-h-screen items-center mt-16 gap-10">
|
| 237 |
+
<div style="text-align: center;">
|
| 238 |
+
<h1 class="text-xl font-semibold leading-6 text-gray-900">
|
| 239 |
+
GGUF Model, Can I split it?
|
| 240 |
+
</h1>
|
| 241 |
+
<h3 class="font-semibold leading-6 text-gray-900">
|
| 242 |
+
Based on <a href="https://huggingface.co/NyxKrage" style="color: blue;">NyxKrage</a>'s <a
|
| 243 |
+
href="https://huggingface.co/spaces/NyxKrage/LLM-Model-VRAM-Calculator" style="color: blue;">LLM VRAM
|
| 244 |
+
calculator</a>
|
| 245 |
+
</h3>
|
| 246 |
+
</div>
|
| 247 |
+
<div class="flex flex-col gap-10">
|
| 248 |
+
<div class="w-auto flex flex-col gap-4">
|
| 249 |
+
<div class="relative">
|
| 250 |
+
<label for="maxvram"
|
| 251 |
+
class="absolute -top-2 left-2 inline-block bg-white px-1 text-xs font-medium text-gray-900">
|
| 252 |
+
Max Allocated VRAM
|
| 253 |
+
</label>
|
| 254 |
+
<input value="24" type="number" name="maxvram" id="maxvram" step="1"
|
| 255 |
+
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" />
|
| 256 |
+
</div>
|
| 257 |
+
|
| 258 |
+
<!-- Model Selector -->
|
| 259 |
+
|
| 260 |
+
|
| 261 |
+
<div class="flex flex-row gap-4 relative">
|
| 262 |
+
<label for="contextsize"
|
| 263 |
+
class="absolute -top-2 left-2 inline-block bg-white px-1 text-xs font-medium text-gray-900">
|
| 264 |
+
Model (unquantized)
|
| 265 |
+
</label>
|
| 266 |
+
<div
|
| 267 |
+
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"
|
| 268 |
+
x-data="{
|
| 269 |
+
open: false,
|
| 270 |
+
value: 'Nexusflow/Starling-LM-7B-beta',
|
| 271 |
+
results: null,
|
| 272 |
+
toggle() {
|
| 273 |
+
if (this.open) {
|
| 274 |
+
return this.close()
|
| 275 |
+
}
|
| 276 |
+
|
| 277 |
+
this.$refs.input.focus()
|
| 278 |
+
|
| 279 |
+
this.open = true
|
| 280 |
+
},
|
| 281 |
+
close(focusAfter) {
|
| 282 |
+
if (! this.open) return
|
| 283 |
+
|
| 284 |
+
this.open = false
|
| 285 |
+
|
| 286 |
+
focusAfter && focusAfter.focus()
|
| 287 |
+
}
|
| 288 |
+
}" x-on:keydown.escape.prevent.stop="close($refs.input)" x-id="['model-typeahead']"
|
| 289 |
+
class="relative">
|
| 290 |
+
<!-- Input -->
|
| 291 |
+
<input id="modelsearch" x-ref="input" x-on:click="toggle()"
|
| 292 |
+
@keypress.debounce.150ms="results = (await
|
| 293 |
+
fetch('https://huggingface.co/api/quicksearch?type=model&q=' +
|
| 294 |
+
encodeURIComponent(value)).then(r => r.json())).models.filter(m => !m.id.includes('GGUF') && !m.id.includes('AWQ') && !m.id.includes('GPTQ') && !m.id.includes('exl2'));"
|
| 295 |
+
:aria-expanded="open" :aria-controls="$id('model-typeahead')" x-model="value"
|
| 296 |
+
class="flex justify-between items-center gap-2 w-full" />
|
| 297 |
+
|
| 298 |
+
<!-- Panel -->
|
| 299 |
+
<div x-ref="panel" x-show="open" x-transition.origin.top.left x-on:click.outside="close($refs.input)"
|
| 300 |
+
:id="$id('model-typeahead')" style="display: none"
|
| 301 |
+
class="absolute left-0 mt-4 w-full rounded-md bg-white shadow-sm ring-1 ring-inset ring-gray-300 z-10">
|
| 302 |
+
<template x-for="result in results">
|
| 303 |
+
<a @click="value = result.id; close($refs.input)" x-text="result.id"
|
| 304 |
+
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>
|
| 305 |
+
</template>
|
| 306 |
+
</div>
|
| 307 |
+
</div>
|
| 308 |
+
</div>
|
| 309 |
+
|
| 310 |
+
|
| 311 |
+
<!-- Context Size Selector -->
|
| 312 |
+
<div class="relative">
|
| 313 |
+
<label for="contextsize"
|
| 314 |
+
class="absolute -top-2 left-2 inline-block bg-white px-1 text-xs font-medium text-gray-900">
|
| 315 |
+
Context Size
|
| 316 |
+
</label>
|
| 317 |
+
<input value="8192" type="number" name="contextsize" id="contextsize" step="1024"
|
| 318 |
+
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" />
|
| 319 |
+
</div>
|
| 320 |
+
|
| 321 |
+
<div class="relative">
|
| 322 |
+
<label class="absolute -top-2 left-2 inline-block bg-white px-1 text-xs font-medium text-gray-900">Context
|
| 323 |
+
offloaded to</label>
|
| 324 |
+
<fieldset x-model="context_loc"
|
| 325 |
+
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">
|
| 326 |
+
<legend class="sr-only">Context location</legend>
|
| 327 |
+
<div class="space-y-4 sm:flex sm:items-center sm:space-x-10 sm:space-y-0">
|
| 328 |
+
<div class="flex items-center">
|
| 329 |
+
<input id="context-vram" name="context-allocation" type="radio" value="vram" checked
|
| 330 |
+
class="h-4 w-4 border-gray-300 text-indigo-600 focus:ring-indigo-600" />
|
| 331 |
+
<label for="context-vram" class="ml-3 block text-sm font-medium leading-6 text-gray-900">VRAM</label>
|
| 332 |
+
</div>
|
| 333 |
+
<div class="flex items-center">
|
| 334 |
+
<input id="context-ram" name="context-allocation" type="radio" value="ram"
|
| 335 |
+
class="h-4 w-4 border-gray-300 text-indigo-600 focus:ring-indigo-600" />
|
| 336 |
+
<label for="context-ram" class="ml-3 block text-sm font-medium leading-6 text-gray-900">RAM</label>
|
| 337 |
+
</div>
|
| 338 |
+
</div>
|
| 339 |
+
</fieldset>
|
| 340 |
+
</div>
|
| 341 |
+
|
| 342 |
+
<!-- GGUF Options -->
|
| 343 |
+
<div x-show="format === 'gguf'" class="relative">
|
| 344 |
+
<div class="flex flex-row gap-4">
|
| 345 |
+
<label for="contextsize"
|
| 346 |
+
class="absolute -top-2 left-2 inline-block bg-white px-1 text-xs font-medium text-gray-900">
|
| 347 |
+
Quantization Size
|
| 348 |
+
</label>
|
| 349 |
+
<div
|
| 350 |
+
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"
|
| 351 |
+
x-data="{
|
| 352 |
+
open: false,
|
| 353 |
+
value: '',
|
| 354 |
+
toggle() {
|
| 355 |
+
if (this.open) {
|
| 356 |
+
return this.close()
|
| 357 |
+
}
|
| 358 |
+
|
| 359 |
+
this.$refs.button.focus()
|
| 360 |
+
|
| 361 |
+
this.open = true
|
| 362 |
+
},
|
| 363 |
+
close(focusAfter) {
|
| 364 |
+
if (! this.open) return
|
| 365 |
+
|
| 366 |
+
this.open = false
|
| 367 |
+
|
| 368 |
+
focusAfter && focusAfter.focus()
|
| 369 |
+
}
|
| 370 |
+
}" x-on:keydown.escape.prevent.stop="close($refs.button)" x-id="['dropdown-button']" class="relative">
|
| 371 |
+
<!-- Button -->
|
| 372 |
+
<button x-ref="button" x-on:click="toggle()" :aria-expanded="open" :aria-controls="$id('dropdown-button')"
|
| 373 |
+
type="button" id="quantsize" x-text="value.length === 0 ? 'Q4_K_S' : value"
|
| 374 |
+
class="flex justify-between items-center gap-2 w-full">
|
| 375 |
+
Q4_K_S
|
| 376 |
+
|
| 377 |
+
<!-- Heroicon: chevron-down -->
|
| 378 |
+
<svg xmlns="http://www.w3.org/2000/svg" class="h-5 w-5 text-gray-400" viewBox="0 0 20 20"
|
| 379 |
+
fill="currentColor">
|
| 380 |
+
<path fill-rule="evenodd"
|
| 381 |
+
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"
|
| 382 |
+
clip-rule="evenodd" />
|
| 383 |
+
</svg>
|
| 384 |
+
</button>
|
| 385 |
+
|
| 386 |
+
<!-- Panel -->
|
| 387 |
+
<div x-data="{ quants: [
|
| 388 |
+
'IQ1_S',
|
| 389 |
+
'IQ1_M',
|
| 390 |
+
'IQ2_XXS',
|
| 391 |
+
'IQ2_XS',
|
| 392 |
+
'IQ2_S',
|
| 393 |
+
'IQ3_XXS',
|
| 394 |
+
'IQ3_XS',
|
| 395 |
+
'IQ3_S',
|
| 396 |
+
'IQ3_M',
|
| 397 |
+
'Q2_K',
|
| 398 |
+
'Q3_K_S',
|
| 399 |
+
'Q3_K_M',
|
| 400 |
+
'Q3_K_L',
|
| 401 |
+
'IQ4_XS',
|
| 402 |
+
'Q4_0',
|
| 403 |
+
'Q4_K_S',
|
| 404 |
+
'Q4_K_M',
|
| 405 |
+
'Q5_0',
|
| 406 |
+
'Q5_K_S',
|
| 407 |
+
'Q5_K_M',
|
| 408 |
+
'Q6_K',
|
| 409 |
+
'Q8_0'
|
| 410 |
+
]}" x-ref="panel" x-show="open" x-transition.origin.top.left x-on:click.outside="close($refs.button)"
|
| 411 |
+
:id="$id('dropdown-button')" style="display: none"
|
| 412 |
+
class="absolute left-0 mt-4 w-full rounded-md bg-white shadow-sm ring-1 ring-inset ring-gray-300 z-10">
|
| 413 |
+
<template x-for="quant in quants">
|
| 414 |
+
<a @click="value = quant; close($refs.button)" x-text="quant"
|
| 415 |
+
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>
|
| 416 |
+
</template>
|
| 417 |
+
</div>
|
| 418 |
+
</div>
|
| 419 |
+
<div class="relative">
|
| 420 |
+
<label for="batchsize"
|
| 421 |
+
class="absolute -top-2 left-2 inline-block bg-white px-1 text-xs font-medium text-gray-900">
|
| 422 |
+
Batch Size
|
| 423 |
+
</label>
|
| 424 |
+
<input value="512" type="number" step="128" id="batchsize"
|
| 425 |
+
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" />
|
| 426 |
+
</div>
|
| 427 |
+
</div>
|
| 428 |
+
</div>
|
| 429 |
+
<button type="button"
|
| 430 |
+
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"
|
| 431 |
+
@click="calculateSizes(format, context_loc)">
|
| 432 |
+
Submit
|
| 433 |
+
</button>
|
| 434 |
+
</div>
|
| 435 |
+
<div class="w-auto flex flex-col gap-4">
|
| 436 |
+
<div class="relative">
|
| 437 |
+
<label class="absolute -top-2 left-2 inline-block bg-white px-1 text-xs font-medium text-gray-900">
|
| 438 |
+
Model Size (GB)
|
| 439 |
+
</label>
|
| 440 |
+
<div id="resultmodel"
|
| 441 |
+
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">
|
| 442 |
+
4.20</div>
|
| 443 |
+
</div>
|
| 444 |
+
<div class="relative">
|
| 445 |
+
<label class="absolute -top-2 left-2 inline-block bg-white px-1 text-xs font-medium text-gray-900">
|
| 446 |
+
Context Size (GB)
|
| 447 |
+
</label>
|
| 448 |
+
<div id="resultcontext"
|
| 449 |
+
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">
|
| 450 |
+
6.90</div>
|
| 451 |
+
</div>
|
| 452 |
+
<div class="relative">
|
| 453 |
+
<label class="absolute -top-2 left-2 inline-block bg-white px-1 text-xs font-medium text-gray-900">
|
| 454 |
+
Total Size (GB)
|
| 455 |
+
</label>
|
| 456 |
+
<div id="resulttotal"
|
| 457 |
+
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">
|
| 458 |
+
420.69</div>
|
| 459 |
+
</div>
|
| 460 |
+
<div class="relative">
|
| 461 |
+
<label class="absolute -top-2 left-2 inline-block bg-white px-1 text-xs font-medium text-gray-900">
|
| 462 |
+
Layer size (GB)
|
| 463 |
+
</label>
|
| 464 |
+
<div id="layersize"
|
| 465 |
+
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">
|
| 466 |
+
42.69</div>
|
| 467 |
+
</div>
|
| 468 |
+
<div class="relative">
|
| 469 |
+
<label class="absolute -top-2 left-2 inline-block bg-white px-1 text-xs font-medium text-gray-900">
|
| 470 |
+
Layers offloaded to GPU (out of total)
|
| 471 |
+
</label>
|
| 472 |
+
<div id="layersoffload"
|
| 473 |
+
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">
|
| 474 |
+
42</div>
|
| 475 |
+
</div>
|
| 476 |
+
</div>
|
| 477 |
+
</div>
|
| 478 |
+
</div>
|
| 479 |
+
<script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/cdn.min.js"></script>
|
| 480 |
+
<script defer>
|
| 481 |
+
calculateSizes("gguf", "vram")
|
| 482 |
+
</script>
|
| 483 |
+
</body>
|
| 484 |
+
|
| 485 |
+
</html>
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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