Merge branch 'master' into croco_nex_0

.editorconfig

@@ -24,6 +24,16 @@ insert_final_newline = unset
 [examples/server/public/*]
 indent_size = 2
 
+[examples/server/public/deps_*]
+trim_trailing_whitespace = unset
+indent_style = unset
+indent_size = unset
+
+[examples/server/deps_*]
+trim_trailing_whitespace = unset
+indent_style = unset
+indent_size = unset
+
 [examples/llama.swiftui/llama.swiftui.xcodeproj/*]
 indent_style = tab
 

common/common.cpp

@@ -1005,6 +1005,9 @@ static ggml_type kv_cache_type_from_str(const std::string & s) {
     if (s == "f16") {
         return GGML_TYPE_F16;
     }
+    if (s == "bf16") {
+        return GGML_TYPE_BF16;
+    }
     if (s == "q8_0") {
         return GGML_TYPE_Q8_0;
     }

convert_hf_to_gguf.py

@@ -3748,10 +3748,7 @@ def __init__(self, *args, **kwargs):
 
         # Embeddings scale
         self.embeddings_scale = 1.0
-        # note: For some JAIS flavors, output is tied to (same as) wte in original model
-        self.output_is_wte = False
         if 'mup_embeddings_scale' in self.hparams:
-            self.output_is_wte = True   # Hack (?)
             self.embeddings_scale = self.hparams['mup_embeddings_scale']
         elif 'embeddings_scale' in self.hparams:
             self.embeddings_scale = self.hparams['embeddings_scale']
@@ -3808,10 +3805,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
         if new_name == self.format_tensor_name(gguf.MODEL_TENSOR.TOKEN_EMBD):
             tensors.append((new_name, data_torch * self.embeddings_scale))
-            if self.output_is_wte:
-                tensors.append((self.format_tensor_name(gguf.MODEL_TENSOR.OUTPUT), data_torch * self.width_scale))
         elif new_name == self.format_tensor_name(gguf.MODEL_TENSOR.OUTPUT):
-            assert not self.output_is_wte
             tensors.append((new_name, data_torch * self.width_scale))
         else:
             tensors.append((new_name, data_torch))

examples/server/chat.mjs

@@ -1,7 +1,7 @@
 import * as readline from 'node:readline'
 import { stdin, stdout } from 'node:process'
 import { readFileSync } from 'node:fs'
-import { SchemaConverter }  from './public/json-schema-to-grammar.mjs'
+import { SchemaConverter }  from './public_legacy/json-schema-to-grammar.mjs'
 
 const args = process.argv.slice(2);
 const grammarJsonSchemaFile = args.find(

examples/server/deps.sh

@@ -6,5 +6,20 @@ DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
 PUBLIC=$DIR/public
 
 echo "download js bundle files"
-curl https://npm.reversehttp.com/@preact/signals-core,@preact/signals,htm/preact,preact,preact/hooks > $PUBLIC/index.js
-echo >> $PUBLIC/index.js # add newline
+
+# Note for contributors: Always pin to a specific version "maj.min.patch" to avoid breaking the CI
+
+curl -L https://cdn.tailwindcss.com/3.4.14 > $PUBLIC/deps_tailwindcss.js
+echo >> $PUBLIC/deps_tailwindcss.js # add newline
+
+curl -L https://cdnjs.cloudflare.com/ajax/libs/daisyui/4.12.14/styled.min.css > $PUBLIC/deps_daisyui.min.css
+curl -L https://cdnjs.cloudflare.com/ajax/libs/daisyui/4.12.14/themes.min.css >> $PUBLIC/deps_daisyui.min.css
+echo >> $PUBLIC/deps_daisyui.min.css # add newline
+
+curl -L https://unpkg.com/vue@3.5.12/dist/vue.esm-browser.js > $PUBLIC/deps_vue.esm-browser.js
+echo >> $PUBLIC/deps_vue.esm-browser.js # add newline
+
+curl -L https://cdnjs.cloudflare.com/ajax/libs/markdown-it/13.0.2/markdown-it.js > $PUBLIC/deps_markdown-it.js
+echo >> $PUBLIC/deps_markdown-it.js # add newline
+
+ls -lah $PUBLIC

examples/server/public/completion.js

@@ -1,12 +1,16 @@
 const paramDefaults = {
   stream: true,
-  n_predict: 500,
   temperature: 0.2,
-  stop: ["</s>"]
 };
 
 let generation_settings = null;
 
+export class CompletionError extends Error {
+  constructor(message, name, data) {
+    super(message);
+    this.name = name;
+  }
+};
 
 // Completes the prompt as a generator. Recommended for most use cases.
 //
@@ -29,7 +33,7 @@ export async function* llama(prompt, params = {}, config = {}) {
 
   const completionParams = { ...paramDefaults, ...params, prompt };
 
-  const response = await fetch(`${api_url}/completion`, {
+  const response = await fetch(`${api_url}${config.endpoint || '/completion'}`, {
     method: 'POST',
     body: JSON.stringify(completionParams),
     headers: {
@@ -41,6 +45,18 @@ export async function* llama(prompt, params = {}, config = {}) {
     signal: controller.signal,
   });
 
+  const status = response.status;
+  if (status !== 200) {
+    try {
+      const body = await response.json();
+      if (body && body.error && body.error.message) {
+        throw new CompletionError(body.error.message, 'ServerError');
+      }
+    } catch (err) {
+      throw new CompletionError(err.message, 'ServerError');
+    }
+  }
+
   const reader = response.body.getReader();
   const decoder = new TextDecoder();
 
@@ -78,7 +94,12 @@ export async function* llama(prompt, params = {}, config = {}) {
       for (const line of lines) {
         const match = regex.exec(line);
         if (match) {
-          result[match[1]] = match[2]
+          result[match[1]] = match[2];
+          if (result.data === '[DONE]') {
+            cont = false;
+            break;
+          }
+
           // since we know this is llama.cpp, let's just decode the json in data
           if (result.data) {
             result.data = JSON.parse(result.data);