Create index.html
Browse files- index.html +570 -0
index.html
ADDED
@@ -0,0 +1,570 @@
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1 |
+
<!DOCTYPE html>
|
2 |
+
<html lang="en">
|
3 |
+
<head>
|
4 |
+
<meta charset="UTF-8" />
|
5 |
+
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
|
6 |
+
<script>
|
7 |
+
function strToHtml(str) {
|
8 |
+
let parser = new DOMParser();
|
9 |
+
return parser.parseFromString(str, "text/html");
|
10 |
+
}
|
11 |
+
|
12 |
+
//Short, jQuery-independent function to read html table and write them into an Array.
|
13 |
+
//Kudos to RobG at StackOverflow
|
14 |
+
function tableToObj(table) {
|
15 |
+
var rows = table.rows;
|
16 |
+
var propCells = rows[0].cells;
|
17 |
+
var propNames = [];
|
18 |
+
var results = [];
|
19 |
+
var obj, row, cells;
|
20 |
+
|
21 |
+
// Use the first row for the property names
|
22 |
+
// Could use a header section but result is the same if
|
23 |
+
// there is only one header row
|
24 |
+
for (var i = 0, iLen = propCells.length; i < iLen; i++) {
|
25 |
+
propNames.push(
|
26 |
+
(propCells[i].textContent || propCells[i].innerText).trim()
|
27 |
+
);
|
28 |
+
}
|
29 |
+
|
30 |
+
// Use the rows for data
|
31 |
+
// Could use tbody rows here to exclude header & footer
|
32 |
+
// but starting from 1 gives required result
|
33 |
+
for (var j = 1, jLen = rows.length; j < jLen; j++) {
|
34 |
+
cells = rows[j].cells;
|
35 |
+
obj = {};
|
36 |
+
|
37 |
+
for (var k = 0; k < iLen; k++) {
|
38 |
+
obj[propNames[k]] = (
|
39 |
+
cells[k].textContent || cells[k].innerText
|
40 |
+
).trim();
|
41 |
+
}
|
42 |
+
results.push(obj);
|
43 |
+
}
|
44 |
+
return results;
|
45 |
+
}
|
46 |
+
|
47 |
+
function formatGpu(gpus) {
|
48 |
+
return gpus.map(
|
49 |
+
(g) => `${g["Product Name"]} - ${g["Memory"].split(",")[0]}`
|
50 |
+
);
|
51 |
+
}
|
52 |
+
|
53 |
+
const gguf_quants = {
|
54 |
+
"Q2_K": 3.35,
|
55 |
+
"Q3_K_S": 3.5,
|
56 |
+
"Q3_K_M": 3.91,
|
57 |
+
"Q3_K_L": 4.27,
|
58 |
+
"Q4_0": 4.55,
|
59 |
+
"Q4_K_S": 4.58,
|
60 |
+
"Q4_K_M": 4.85,
|
61 |
+
"Q5_0": 5.54,
|
62 |
+
"Q5_K_S": 5.54,
|
63 |
+
"Q5_K_M": 5.69,
|
64 |
+
"Q6_K": 6.59,
|
65 |
+
"Q8_0": 8.5,
|
66 |
+
}
|
67 |
+
|
68 |
+
async function modelConfig(hf_model) {
|
69 |
+
let config = await fetch(
|
70 |
+
`https://huggingface.co/${hf_model}/raw/main/config.json`
|
71 |
+
).then(r => r.json())
|
72 |
+
let model_size = 0
|
73 |
+
try {
|
74 |
+
model_size = (await fetch(`https://huggingface.co/${hf_model}/raw/main/model.safetensors.index.json`).then(r => r.json()))["metadata"]["total_size"] / 2
|
75 |
+
} catch (e) {
|
76 |
+
try {
|
77 |
+
model_size = await fetch(`https://huggingface.co/${hf_model}/raw/main/pytorch_model.bin.index.json`).then(r => r.json())["metadata"]["total_size"] / 2
|
78 |
+
} catch {
|
79 |
+
let model_page = await fetch(
|
80 |
+
"https://corsproxy.io/?" + encodeURIComponent(`https://huggingface.co/${hf_model}`)
|
81 |
+
).then(r => r.text())
|
82 |
+
let el = document.createElement( 'html' );
|
83 |
+
el.innerHTML = model_page
|
84 |
+
let params_el = el.querySelector('div[data-target="ModelSafetensorsParams"]')
|
85 |
+
if (params_el === null) {
|
86 |
+
model_size = JSON.parse(params_el.attributes.getNamedItem("data-props").value)["model"]["safetensors"]["total"]
|
87 |
+
} else {
|
88 |
+
params_el = el.querySelector('div[data-target="ModelHeader"]')
|
89 |
+
model_size = JSON.parse(params_el.attributes.getNamedItem("data-props").value)["safetensors"]["total"]
|
90 |
+
}
|
91 |
+
}
|
92 |
+
}
|
93 |
+
config.parameters = model_size
|
94 |
+
return config
|
95 |
+
}
|
96 |
+
|
97 |
+
function inputBuffer(context=8192, model_config, bsz=512) {
|
98 |
+
/* Calculation taken from github:ggerganov/llama.cpp/llama.cpp:11248
|
99 |
+
ctx->inp_tokens = ggml_new_tensor_1d(ctx->ctx_input, GGML_TYPE_I32, cparams.n_batch);
|
100 |
+
ctx->inp_embd = ggml_new_tensor_2d(ctx->ctx_input, GGML_TYPE_F32, hparams.n_embd, cparams.n_batch);
|
101 |
+
ctx->inp_pos = ggml_new_tensor_1d(ctx->ctx_input, GGML_TYPE_I32, cparams.n_batch);
|
102 |
+
ctx->inp_KQ_mask = ggml_new_tensor_2d(ctx->ctx_input, GGML_TYPE_F32, cparams.n_ctx, cparams.n_batch);
|
103 |
+
ctx->inp_K_shift = ggml_new_tensor_1d(ctx->ctx_input, GGML_TYPE_I32, cparams.n_ctx);
|
104 |
+
ctx->inp_sum = ggml_new_tensor_2d(ctx->ctx_input, GGML_TYPE_F32, 1, cparams.n_batch);
|
105 |
+
|
106 |
+
n_embd is hidden size (github:ggeranov/llama.cpp/convert.py:248)
|
107 |
+
*/
|
108 |
+
const inp_tokens = bsz
|
109 |
+
const inp_embd = model_config["hidden_size"] * bsz
|
110 |
+
const inp_pos = bsz
|
111 |
+
const inp_KQ_mask = context * bsz
|
112 |
+
const inp_K_shift = context
|
113 |
+
const inp_sum = bsz
|
114 |
+
|
115 |
+
return inp_tokens + inp_embd + inp_pos + inp_KQ_mask + inp_K_shift + inp_sum
|
116 |
+
}
|
117 |
+
|
118 |
+
function computeBuffer(context=8192, model_config, bsz=512) {
|
119 |
+
if (bsz != 512) {
|
120 |
+
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")
|
121 |
+
}
|
122 |
+
return (context / 1024 * 2 + 0.75) * model_config["num_attention_heads"] * 1024 * 1024
|
123 |
+
}
|
124 |
+
|
125 |
+
function kvCache(context=8192, model_config, fp8_cache=false) {
|
126 |
+
const n_gqa = model_config["num_attention_heads"] / model_config["num_key_value_heads"]
|
127 |
+
const n_embd_gqa = model_config["hidden_size"] / n_gqa
|
128 |
+
const n_elements = n_embd_gqa * (model_config["num_hidden_layers"] * context)
|
129 |
+
const size = 2 * n_elements
|
130 |
+
if (fp8_cache) {
|
131 |
+
return size
|
132 |
+
}
|
133 |
+
return size * 2
|
134 |
+
}
|
135 |
+
|
136 |
+
function contextSize(context=8192, model_config, bsz=512, fp8_cache=false) {
|
137 |
+
return Number.parseFloat((inputBuffer(context, model_config, bsz) + kvCache(context, model_config, fp8_cache) + computeBuffer(context, model_config, bsz)).toFixed(2))
|
138 |
+
}
|
139 |
+
|
140 |
+
function modelSize(model_config, bpw=4.5) {
|
141 |
+
return Number.parseFloat((model_config["parameters"] * bpw / 8).toFixed(2))
|
142 |
+
}
|
143 |
+
|
144 |
+
async function calculateSizes(format) {
|
145 |
+
const model_config = await modelConfig(document.getElementById("modelsearch").value)
|
146 |
+
const context = parseInt(document.getElementById("contextsize").value)
|
147 |
+
let bsz = 512
|
148 |
+
let fp8_cache = false
|
149 |
+
let bpw = 0
|
150 |
+
if (format === "gguf") {
|
151 |
+
bsz = parseInt(document.getElementById("batchsize").value)
|
152 |
+
bpw = gguf_quants[document.getElementById("quantsize").innerText]
|
153 |
+
|
154 |
+
} else if (format == "exl2") {
|
155 |
+
fp8_cache = document.getElementById("fp8cache").checked
|
156 |
+
bpw = Number.parseFloat(document.getElementById("bpw").value)
|
157 |
+
}
|
158 |
+
|
159 |
+
const model_size = modelSize(model_config, bpw)
|
160 |
+
const context_size = contextSize(context, model_config, bsz, fp8_cache)
|
161 |
+
const total_size = ((model_size + context_size) / 1e+9)
|
162 |
+
document.getElementById("resultmodel").innerText = (model_size / 1e+9).toFixed(2)
|
163 |
+
document.getElementById("resultcontext").innerText = (context_size / 1e+9).toFixed(2)
|
164 |
+
const result_total_el = document.getElementById("resulttotal");
|
165 |
+
result_total_el.innerText = total_size.toFixed(2)
|
166 |
+
|
167 |
+
const gpu = document.getElementById("gpusearch").value
|
168 |
+
if (gpu !== "") {
|
169 |
+
const vram = parseFloat(gpu.split("-")[1].replace("GB", "").trim())
|
170 |
+
if (vram - total_size > 0.5) {
|
171 |
+
result_total_el.style.backgroundColor = "#bef264"
|
172 |
+
} else if (vram - total_size > 0) {
|
173 |
+
result_total_el.style.backgroundColor = "#facc15"
|
174 |
+
} else {
|
175 |
+
result_total_el.style.backgroundColor = "#ef4444"
|
176 |
+
}
|
177 |
+
}
|
178 |
+
|
179 |
+
}
|
180 |
+
</script>
|
181 |
+
<link href="./styles.css" rel="stylesheet">
|
182 |
+
<title>Can I run it? - LLM VRAM Calculator</title>
|
183 |
+
</head>
|
184 |
+
<body class="p-8">
|
185 |
+
<div x-data="{ format: 'gguf' }" class="flex flex-col max-h-screen items-center mt-16 gap-10">
|
186 |
+
<h1 class="text-xl font-semibold leading-6 text-gray-900">
|
187 |
+
LLM Model, Can I run it?
|
188 |
+
</h1>
|
189 |
+
<div class="flex flex-col gap-10">
|
190 |
+
<div class="w-auto flex flex-col gap-4">
|
191 |
+
<!-- GPU Selector -->
|
192 |
+
<div
|
193 |
+
class="relative"
|
194 |
+
x-data="{
|
195 |
+
results: null,
|
196 |
+
query: null
|
197 |
+
}"
|
198 |
+
>
|
199 |
+
<label
|
200 |
+
for="gpusearch"
|
201 |
+
class="absolute -top-2 left-2 inline-block bg-white px-1 text-xs font-medium text-gray-900"
|
202 |
+
>GPU</label
|
203 |
+
>
|
204 |
+
<input
|
205 |
+
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"
|
206 |
+
placeholder="GeForce RTX 3090 - 24 GB"
|
207 |
+
id="gpusearch"
|
208 |
+
name="gpusearch"
|
209 |
+
list="gpulist"
|
210 |
+
x-model="query"
|
211 |
+
@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')))"
|
212 |
+
/>
|
213 |
+
<datalist id="gpulist">
|
214 |
+
<template x-for="item in results">
|
215 |
+
<option :value="item" x-text="item"></option>
|
216 |
+
</template>
|
217 |
+
</datalist>
|
218 |
+
</div>
|
219 |
+
<!-- Model Selector -->
|
220 |
+
|
221 |
+
|
222 |
+
<div class="flex flex-row gap-4 relative">
|
223 |
+
<label
|
224 |
+
for="contextsize"
|
225 |
+
class="absolute -top-2 left-2 inline-block bg-white px-1 text-xs font-medium text-gray-900"
|
226 |
+
>
|
227 |
+
Model
|
228 |
+
</label>
|
229 |
+
<div
|
230 |
+
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"
|
231 |
+
x-data="{
|
232 |
+
open: false,
|
233 |
+
value: 'mistralai/Mistral-7B-v0.1',
|
234 |
+
results: null,
|
235 |
+
toggle() {
|
236 |
+
if (this.open) {
|
237 |
+
return this.close()
|
238 |
+
}
|
239 |
+
|
240 |
+
this.$refs.input.focus()
|
241 |
+
|
242 |
+
this.open = true
|
243 |
+
},
|
244 |
+
close(focusAfter) {
|
245 |
+
if (! this.open) return
|
246 |
+
|
247 |
+
this.open = false
|
248 |
+
|
249 |
+
focusAfter && focusAfter.focus()
|
250 |
+
}
|
251 |
+
}"
|
252 |
+
x-on:keydown.escape.prevent.stop="close($refs.input)"
|
253 |
+
x-id="['model-typeahead']"
|
254 |
+
class="relative"
|
255 |
+
>
|
256 |
+
<!-- Input -->
|
257 |
+
<input
|
258 |
+
id="modelsearch"
|
259 |
+
x-ref="input"
|
260 |
+
x-on:click="toggle()"
|
261 |
+
@keypress.debounce.150ms="results = (await
|
262 |
+
fetch('https://huggingface.co/api/quicksearch?type=model&q=' +
|
263 |
+
encodeURIComponent(value)).then(r => r.json())).models.filter(m => !m.id.includes('GGUF') && !m.id.includes('AWQ') && !m.id.includes('GPTQ') && !m.id.includes('exl2'));"
|
264 |
+
:aria-expanded="open"
|
265 |
+
:aria-controls="$id('model-typeahead')"
|
266 |
+
x-model="value"
|
267 |
+
class="flex justify-between items-center gap-2 w-full"
|
268 |
+
/>
|
269 |
+
|
270 |
+
<!-- Panel -->
|
271 |
+
<div
|
272 |
+
x-ref="panel"
|
273 |
+
x-show="open"
|
274 |
+
x-transition.origin.top.left
|
275 |
+
x-on:click.outside="close($refs.input)"
|
276 |
+
:id="$id('model-typeahead')"
|
277 |
+
style="display: none"
|
278 |
+
class="absolute left-0 mt-4 w-full rounded-md bg-white shadow-sm ring-1 ring-inset ring-gray-300 z-10"
|
279 |
+
>
|
280 |
+
<template x-for="result in results">
|
281 |
+
<a
|
282 |
+
@click="value = result.id; close($refs.input)"
|
283 |
+
x-text="result.id"
|
284 |
+
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"
|
285 |
+
></a>
|
286 |
+
</template>
|
287 |
+
</div>
|
288 |
+
</div>
|
289 |
+
</div>
|
290 |
+
|
291 |
+
|
292 |
+
<!-- Context Size Selector -->
|
293 |
+
<div class="relative">
|
294 |
+
<label
|
295 |
+
for="contextsize"
|
296 |
+
class="absolute -top-2 left-2 inline-block bg-white px-1 text-xs font-medium text-gray-900"
|
297 |
+
>
|
298 |
+
Context Size
|
299 |
+
</label>
|
300 |
+
<input
|
301 |
+
value="8192"
|
302 |
+
type="number"
|
303 |
+
name="contextsize"
|
304 |
+
id="contextsize"
|
305 |
+
step="1024"
|
306 |
+
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"
|
307 |
+
/>
|
308 |
+
</div>
|
309 |
+
<!-- Quant Format Selector -->
|
310 |
+
<div class="relative">
|
311 |
+
<label
|
312 |
+
class="absolute -top-2 left-2 inline-block bg-white px-1 text-xs font-medium text-gray-900"
|
313 |
+
>Quant Format</label
|
314 |
+
>
|
315 |
+
<fieldset
|
316 |
+
x-model="format"
|
317 |
+
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"
|
318 |
+
>
|
319 |
+
<legend class="sr-only">Quant format</legend>
|
320 |
+
<div
|
321 |
+
class="space-y-4 sm:flex sm:items-center sm:space-x-10 sm:space-y-0"
|
322 |
+
>
|
323 |
+
<div class="flex items-center">
|
324 |
+
<input
|
325 |
+
id="gguf-format"
|
326 |
+
name="quant-format"
|
327 |
+
type="radio"
|
328 |
+
value="gguf"
|
329 |
+
checked
|
330 |
+
class="h-4 w-4 border-gray-300 text-indigo-600 focus:ring-indigo-600"
|
331 |
+
/>
|
332 |
+
<label
|
333 |
+
for="gguf-format"
|
334 |
+
class="ml-3 block text-sm font-medium leading-6 text-gray-900"
|
335 |
+
>GGUF</label
|
336 |
+
>
|
337 |
+
</div>
|
338 |
+
<div class="flex items-center">
|
339 |
+
<input
|
340 |
+
id="exl2-format"
|
341 |
+
name="quant-format"
|
342 |
+
type="radio"
|
343 |
+
value="exl2"
|
344 |
+
class="h-4 w-4 border-gray-300 text-indigo-600 focus:ring-indigo-600"
|
345 |
+
/>
|
346 |
+
<label
|
347 |
+
for="exl2-format"
|
348 |
+
class="ml-3 block text-sm font-medium leading-6 text-gray-900"
|
349 |
+
>EXL2</label
|
350 |
+
>
|
351 |
+
</div>
|
352 |
+
<div class="flex items-center">
|
353 |
+
<input
|
354 |
+
id="gptq-format"
|
355 |
+
name="quant-format"
|
356 |
+
type="radio"
|
357 |
+
disabled
|
358 |
+
value="gptq"
|
359 |
+
class="h-4 w-4 border-gray-300 text-indigo-600 focus:ring-indigo-600"
|
360 |
+
/>
|
361 |
+
<label
|
362 |
+
for="gptq-format"
|
363 |
+
class="ml-3 block text-sm font-medium leading-6 text-gray-900"
|
364 |
+
>GPTQ (coming soon)</label
|
365 |
+
>
|
366 |
+
</div>
|
367 |
+
</div>
|
368 |
+
</fieldset>
|
369 |
+
</div>
|
370 |
+
<!-- EXL2 Options -->
|
371 |
+
<div x-show="format === 'exl2'" class="flex flex-row gap-4">
|
372 |
+
<div class="relative flex-grow">
|
373 |
+
<label
|
374 |
+
for="bpw"
|
375 |
+
class="absolute -top-2 left-2 inline-block bg-white px-1 text-xs font-medium text-gray-900"
|
376 |
+
>
|
377 |
+
BPW
|
378 |
+
</label>
|
379 |
+
<input
|
380 |
+
value="4.5"
|
381 |
+
type="number"
|
382 |
+
step="0.01"
|
383 |
+
id="bpw"
|
384 |
+
name="bpw"
|
385 |
+
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"
|
386 |
+
/>
|
387 |
+
</div>
|
388 |
+
<div
|
389 |
+
class="flex-shrink relative rounded-md"
|
390 |
+
>
|
391 |
+
<div
|
392 |
+
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"
|
393 |
+
>
|
394 |
+
<label
|
395 |
+
for="fp8cache"
|
396 |
+
class="inline-block bg-white text-xs font-medium text-gray-900"
|
397 |
+
>
|
398 |
+
FP8 Cache
|
399 |
+
</label>
|
400 |
+
<input id="fp8cache" type="checkbox">
|
401 |
+
</input>
|
402 |
+
</div>
|
403 |
+
</div>
|
404 |
+
</div>
|
405 |
+
<!-- GGUF Options -->
|
406 |
+
<div x-show="format === 'gguf'" class="relative">
|
407 |
+
<div class="flex flex-row gap-4">
|
408 |
+
<label
|
409 |
+
for="contextsize"
|
410 |
+
class="absolute -top-2 left-2 inline-block bg-white px-1 text-xs font-medium text-gray-900"
|
411 |
+
>
|
412 |
+
Quantization Size
|
413 |
+
</label>
|
414 |
+
<div
|
415 |
+
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"
|
416 |
+
x-data="{
|
417 |
+
open: false,
|
418 |
+
value: '',
|
419 |
+
toggle() {
|
420 |
+
if (this.open) {
|
421 |
+
return this.close()
|
422 |
+
}
|
423 |
+
|
424 |
+
this.$refs.button.focus()
|
425 |
+
|
426 |
+
this.open = true
|
427 |
+
},
|
428 |
+
close(focusAfter) {
|
429 |
+
if (! this.open) return
|
430 |
+
|
431 |
+
this.open = false
|
432 |
+
|
433 |
+
focusAfter && focusAfter.focus()
|
434 |
+
}
|
435 |
+
}"
|
436 |
+
x-on:keydown.escape.prevent.stop="close($refs.button)"
|
437 |
+
x-id="['dropdown-button']"
|
438 |
+
class="relative"
|
439 |
+
>
|
440 |
+
<!-- Button -->
|
441 |
+
<button
|
442 |
+
x-ref="button"
|
443 |
+
x-on:click="toggle()"
|
444 |
+
:aria-expanded="open"
|
445 |
+
:aria-controls="$id('dropdown-button')"
|
446 |
+
type="button"
|
447 |
+
id="quantsize"
|
448 |
+
x-text="value.length === 0 ? 'Q4_K_S' : value"
|
449 |
+
class="flex justify-between items-center gap-2 w-full"
|
450 |
+
>
|
451 |
+
Q4_K_S
|
452 |
+
|
453 |
+
<!-- Heroicon: chevron-down -->
|
454 |
+
<svg
|
455 |
+
xmlns="http://www.w3.org/2000/svg"
|
456 |
+
class="h-5 w-5 text-gray-400"
|
457 |
+
viewBox="0 0 20 20"
|
458 |
+
fill="currentColor"
|
459 |
+
>
|
460 |
+
<path
|
461 |
+
fill-rule="evenodd"
|
462 |
+
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"
|
463 |
+
clip-rule="evenodd"
|
464 |
+
/>
|
465 |
+
</svg>
|
466 |
+
</button>
|
467 |
+
|
468 |
+
<!-- Panel -->
|
469 |
+
<div
|
470 |
+
x-data="{ quants: [
|
471 |
+
'Q3_K_S',
|
472 |
+
'Q3_K_M',
|
473 |
+
'Q3_K_L',
|
474 |
+
'Q4_0',
|
475 |
+
'Q4_K_S',
|
476 |
+
'Q4_K_M',
|
477 |
+
'Q5_0',
|
478 |
+
'Q5_K_S',
|
479 |
+
'Q5_K_M',
|
480 |
+
'Q6_K',
|
481 |
+
'Q8_0'
|
482 |
+
]}"
|
483 |
+
x-ref="panel"
|
484 |
+
x-show="open"
|
485 |
+
x-transition.origin.top.left
|
486 |
+
x-on:click.outside="close($refs.button)"
|
487 |
+
:id="$id('dropdown-button')"
|
488 |
+
style="display: none"
|
489 |
+
class="absolute left-0 mt-4 w-full rounded-md bg-white shadow-sm ring-1 ring-inset ring-gray-300 z-10"
|
490 |
+
>
|
491 |
+
<template x-for="quant in quants">
|
492 |
+
<a
|
493 |
+
@click="value = quant; close($refs.button)"
|
494 |
+
x-text="quant"
|
495 |
+
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"
|
496 |
+
></a>
|
497 |
+
</template>
|
498 |
+
</div>
|
499 |
+
</div>
|
500 |
+
<div class="relative">
|
501 |
+
<label
|
502 |
+
for="batchsize"
|
503 |
+
class="absolute -top-2 left-2 inline-block bg-white px-1 text-xs font-medium text-gray-900"
|
504 |
+
>
|
505 |
+
Batch Size
|
506 |
+
</label>
|
507 |
+
<input
|
508 |
+
value="512"
|
509 |
+
type="number"
|
510 |
+
step="128"
|
511 |
+
id="batchsize"
|
512 |
+
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"
|
513 |
+
/>
|
514 |
+
</div>
|
515 |
+
</div>
|
516 |
+
</div>
|
517 |
+
<button
|
518 |
+
type="button"
|
519 |
+
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"
|
520 |
+
@click="calculateSizes(format)"
|
521 |
+
>
|
522 |
+
Submit
|
523 |
+
</button>
|
524 |
+
</div>
|
525 |
+
<div class="w-auto flex flex-col gap-4">
|
526 |
+
<div class="relative">
|
527 |
+
<label
|
528 |
+
class="absolute -top-2 left-2 inline-block bg-white px-1 text-xs font-medium text-gray-900"
|
529 |
+
>
|
530 |
+
Model Size (GB)
|
531 |
+
</label>
|
532 |
+
<div
|
533 |
+
id="resultmodel"
|
534 |
+
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"
|
535 |
+
>4.20</div>
|
536 |
+
</div>
|
537 |
+
<div class="relative">
|
538 |
+
<label
|
539 |
+
class="absolute -top-2 left-2 inline-block bg-white px-1 text-xs font-medium text-gray-900"
|
540 |
+
>
|
541 |
+
Context Size (GB)
|
542 |
+
</label>
|
543 |
+
<div
|
544 |
+
id="resultcontext"
|
545 |
+
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"
|
546 |
+
>6.90</div>
|
547 |
+
</div>
|
548 |
+
<div class="relative">
|
549 |
+
<label
|
550 |
+
class="absolute -top-2 left-2 inline-block bg-white px-1 text-xs font-medium text-gray-900"
|
551 |
+
>
|
552 |
+
Total Size (GB)
|
553 |
+
</label>
|
554 |
+
<div
|
555 |
+
id="resulttotal"
|
556 |
+
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"
|
557 |
+
>420.69</div>
|
558 |
+
</div>
|
559 |
+
</div>
|
560 |
+
</div>
|
561 |
+
</div>
|
562 |
+
<script
|
563 |
+
defer
|
564 |
+
src="https://cdn.jsdelivr.net/npm/[email protected]/dist/cdn.min.js"
|
565 |
+
></script>
|
566 |
+
<script defer>
|
567 |
+
calculateSizes("gguf")
|
568 |
+
</script>
|
569 |
+
</body>
|
570 |
+
</html>
|