cmake: install the GPT-J plugin (#1487)

.github/ISSUE_TEMPLATE/bug-report.yml

@@ -27,21 +27,6 @@ body:
         - label: "The official example notebooks/scripts"
         - label: "My own modified scripts"
 
-  - type: checkboxes
-    id: related-components
-    attributes:
-      label: Related Components
-      description: "Select the components related to the issue (if applicable):"
-      options:
-        - label: "backend"
-        - label: "bindings"
-        - label: "python-bindings"
-        - label: "chat-ui"
-        - label: "models"
-        - label: "circleci"
-        - label: "docker"
-        - label: "api"
-
   - type: textarea
     id: reproduction
     validations:
@@ -67,4 +52,4 @@ body:
       required: true
     attributes:
       label: Expected behavior
-      description: "A clear and concise description of what you would expect to happen."
+      description: "A clear and concise description of what you would expect to happen."

gpt4all-chat/CMakeLists.txt

@@ -180,8 +180,8 @@ install(TARGETS llmodel DESTINATION lib COMPONENT ${COMPONENT_NAME_MAIN})
 
 # We should probably iterate through the list of the cmake for backend, but these need to be installed
 # to the this component's dir for the finicky qt installer to work
-#install(TARGETS gptj-avxonly DESTINATION lib COMPONENT ${COMPONENT_NAME_MAIN})
-#install(TARGETS gptj-default DESTINATION lib COMPONENT ${COMPONENT_NAME_MAIN})
+install(TARGETS gptj-avxonly DESTINATION lib COMPONENT ${COMPONENT_NAME_MAIN})
+install(TARGETS gptj-default DESTINATION lib COMPONENT ${COMPONENT_NAME_MAIN})
 install(TARGETS llama-mainline-avxonly DESTINATION lib COMPONENT ${COMPONENT_NAME_MAIN})
 install(TARGETS llama-mainline-default DESTINATION lib COMPONENT ${COMPONENT_NAME_MAIN})
 install(TARGETS llamamodel-mainline-avxonly DESTINATION lib COMPONENT ${COMPONENT_NAME_MAIN})

gpt4all-chat/metadata/models2.json

@@ -190,5 +190,21 @@
     "systemPrompt": " ",
     "description": "<strong>Sbert</strong><br><ul><li>For embeddings",
     "url": "https://gpt4all.io/models/gguf/all-MiniLM-L6-v2-f16.gguf"
+  },
+  {
+    "order": "n",
+    "md5sum": "919de4dd6f25351bcb0223790db1932d",
+    "name": "EM German Mistral",
+    "filename": "em_german_mistral_v01.Q4_0.gguf",
+    "filesize": "4108916352",
+    "requires": "2.5.0",
+    "ramrequired": "8",
+    "parameters": "7 billion",
+    "quant": "q4_0",
+    "type": "Mistral",
+    "description": "<strong>Mistral-based model for German-language applications</strong><br><ul><li>Fast responses</li><li>Chat based model</li><li>Trained by ellamind<li>Finetuned on German instruction and chat data</a><li>Licensed for commercial use</ul>",
+    "url": "https://huggingface.co/TheBloke/em_german_mistral_v01-GGUF/resolve/main/em_german_mistral_v01.Q4_0.gguf",
+    "promptTemplate": "USER: %1 ASSISTANT: ",
+    "systemPrompt": "Du bist ein hilfreicher Assistent. "
   }
 ]

gpt4all-chat/metadata/release.json

@@ -75,7 +75,7 @@
 * resumable downloads for models
 * chat list in the drawer drop down
 * add/remove/rename chats
-* perist chats to disk and restore them with full context (WARNING: the average size of each chat on disk is ~1.5GB)
+* persist chats to disk and restore them with full context (WARNING: the average size of each chat on disk is ~1.5GB)
 * NOTE: to turn on the persistent chats feature you need to do so via the settings dialog as it is off by default
 * automatically rename chats using the AI after the first prompt/response pair
 * new usage statistics including more detailed hardware info to help debug problems on older hardware
@@ -524,7 +524,7 @@
     "version": "2.4.19",
     "notes":
 "
-* Fix a crasher on systems with corrupted vulkan drivers or corrupted vulkan dlls
+* Fix a crash on systems with corrupted vulkan drivers or corrupted vulkan dlls
 ",
     "contributors":
 "

gpt4all-training/train.py

@@ -75,7 +75,7 @@ def train(accelerator, config):
         else DummyOptim
     )
 
-    # karpathy doesn't decay embeddding, maybe we should exclude
+    # karpathy doesn't decay embedding, maybe we should exclude
     # https://github.com/karpathy/minGPT/commit/bbbdac74fa9b2e55574d70056163ffbae42310c1#diff-2075fa9c224b395be5bda85544dd36572b59c76c54562819eadadbf268602834R157s
     optimizer = optimizer_cls(model.parameters(), lr=config["lr"], weight_decay=config["weight_decay"])