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Fix models.json for spanning multiple lines with string.

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forcemetal
Adam Treat 1 year ago
parent c24ad02a6a
commit 8558fb4297
2 changed files with 22 additions and 111 deletions
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15
gpt4all-chat/main.qml
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@ -206,12 +206,6 @@ Window {
valueRole: "filename"
textRole: "name"
property string currentModelName: ""
Timer {
id: startupTimer
interval: 3000 // 3 seconds
running: true
repeat: false
}
function updateCurrentModelName() {
// During application startup the model names might not be processed yet, so don't
// set the combobox text until this is done OR the timer has timed out
@ -220,6 +214,15 @@ Window {
var info = ModelList.modelInfo(currentChat.modelInfo.filename);
comboBox.currentModelName = info.name !== "" ? info.name : info.filename;
}
Timer {
id: startupTimer
interval: 3000 // 3 seconds
running: true
repeat: false
onTriggered: {
comboBox.updateCurrentModelName();
}
}
Connections {
target: ModelList
function onModelHasNamesChanged() {

118
gpt4all-chat/metadata/models.json
Unescape Escape View File

@ -10,16 +10,7 @@
"parameters": "13 billion",
"quant": "q4_0",
"type": "LLaMA",
"description": "
<strong>Best overall model</strong>
<br>
<ul>
<li>Instruction based
<li>Gives long responses
<li>Curated with 300,000 uncensored instructions
<li>Trained by Nous Research
<li>Cannot be used commercially
</ul>",
"description": "<strong>Best overall model</strong><br><ul><li>Instruction based<li>Gives long responses<li>Curated with 300,000 uncensored instructions<li>Trained by Nous Research<li>Cannot be used commercially</ul>",
"url": "https://huggingface.co/TheBloke/Nous-Hermes-13B-GGML/resolve/main/nous-hermes-13b.ggmlv3.q4_0.bin"
},
{
@ -33,15 +24,7 @@
"parameters": "7 billion",
"quant": "q4_0",
"type": "MPT",
"description": "
<strong>Best overall smaller model</strong>
<br>
<ul>
<li>Fast responses
<li>Chat based
<li>Trained by Mosaic ML
<li>Cannot be used commercially
</ul>"
"description": "<strong>Best overall smaller model</strong><br><ul><li>Fast responses<li>Chat based<li>Trained by Mosaic ML<li>Cannot be used commercially</ul>"
},
{
"order": "c",
@ -53,16 +36,7 @@
"parameters": "7 billion",
"quant": "q4_0",
"type": "GPT-J",
"description": "
<strong>Best overall for commercial usage</strong>
<br>
<ul>
<li>Fast responses
<li>Creative responses</li>
<li>Instruction based</li>
<li>Trained by Nomic ML
<li>Licensed for commercial use
</ul>"
"description": "<strong>Best overall for commercial usage</strong><br><ul><li>Fast responses<li>Creative responses</li><li>Instruction based</li><li>Trained by Nomic ML<li>Licensed for commercial use</ul>"
},
{
"order": "d",
@ -75,16 +49,7 @@
"parameters": "13 billion",
"quant": "q4_0",
"type": "LLaMA",
"description": "
<strong>Very good overall model</strong>
<br>
<ul>
<li>Instruction based
<li>Based on the same dataset as Groovy
<li>Slower than Groovy, with higher quality responses
<li>Trained by Nomic AI
<li>Cannot be used commercially
</ul>",
"description": "<strong>Very good overall model</strong><br><ul><li>Instruction based<li>Based on the same dataset as Groovy<li>Slower than Groovy, with higher quality responses<li>Trained by Nomic AI<li>Cannot be used commercially</ul>",
"url": "https://huggingface.co/TheBloke/GPT4All-13B-snoozy-GGML/resolve/main/GPT4All-13B-snoozy.ggmlv3.q4_0.bin"
},
{
@ -97,13 +62,7 @@
"parameters": "7 billion",
"quant": "q4_2",
"type": "LLaMA",
"description": "
<strong>Good small model - trained by teams from UC Berkeley, CMU, Stanford, MBZUAI, and UC San Diego</strong>
<br>
<ul>
<li>Instruction based
<li>Cannot be used commercially
</ul>"
"description": "<strong>Good small model - trained by teams from UC Berkeley, CMU, Stanford, MBZUAI, and UC San Diego</strong><br><ul><li>Instruction based<li>Cannot be used commercially</ul>"
},
{
"order": "f",
@ -115,13 +74,7 @@
"parameters": "13 billion",
"quant": "q4_2",
"type": "LLaMA",
"description": "
<strong>Good larger model - trained by teams from UC Berkeley, CMU, Stanford, MBZUAI, and UC San Diego</strong>
<br>
<ul>
<li>Instruction based
<li>Cannot be used commercially
</ul>"
"description": "<strong>Good larger model - trained by teams from UC Berkeley, CMU, Stanford, MBZUAI, and UC San Diego</strong><br><ul><li>Instruction based<li>Cannot be used commercially</ul>"
},
{
"order": "g",
@ -133,13 +86,7 @@
"parameters": "7 billion",
"quant": "q4_2",
"type": "LLaMA",
"description": "
<strong>Good small model - trained by by Microsoft and Peking University</strong>
<br>
<ul>
<li>Instruction based
<li>Cannot be used commercially
</ul>"
"description": "<strong>Good small model - trained by by Microsoft and Peking University</strong><br><ul><li>Instruction based<li>Cannot be used commercially</ul>"
},
{
"order": "h",
@ -151,13 +98,7 @@
"parameters": "13 billion",
"quant": "q4_2",
"type": "LLaMA",
"description": "
<strong>Trained with RHLF by Stability AI</strong>
<br>
<ul>
<li>Instruction based
<li>Cannot be used commercially
</ul>"
"description": "<strong>Trained with RHLF by Stability AI</strong><br><ul><li>Instruction based<li>Cannot be used commercially</ul>"
},
{
"order": "i",
@ -170,14 +111,7 @@
"parameters": "7 billion",
"quant": "q4_0",
"type": "MPT",
"description": "
<strong>Mosaic's instruction model</strong>
<br>
<ul>
<li>Instruction based
<li>Trained by Mosaic ML
<li>Licensed for commercial use
</ul>"
"description": "<strong>Mosaic's instruction model</strong><br><ul><li>Instruction based<li>Trained by Mosaic ML<li>Licensed for commercial use</ul>"
},
{
"order": "j",
@ -190,14 +124,7 @@
"parameters": "7 billion",
"quant": "q4_0",
"type": "MPT",
"description": "
<strong>Trained for text completion with no assistant finetuning</strong>
<br>
<ul>
<li>Completion based
<li>Trained by Mosaic ML
<li>Licensed for commercial use
</ul>"
"description": "<strong>Trained for text completion with no assistant finetuning</strong><br><ul><li>Completion based<li>Trained by Mosaic ML<li>Licensed for commercial use</ul>"
},
{
"order": "k",
@ -209,14 +136,7 @@
"parameters": "13 billion",
"quant": "q4_0",
"type": "LLaMA",
"description": "
<strong>Trained on ~180,000 instructions</strong>
<br>
<ul>
<li>Instruction based
<li>Trained by Nous Research
<li>Cannot be used commercially
</ul>"
"description": "<strong>Trained on ~180,000 instructions</strong><br><ul><li>Instruction based<li>Trained by Nous Research<li>Cannot be used commercially</ul>"
},
{
"order": "l",
@ -229,13 +149,7 @@
"parameters": "13 billion",
"quant": "q4_0",
"type": "LLaMA",
"description": "
<strong>Trained on uncensored assistant data and instruction data</strong>
<br>
<ul>
<li>Instruction based
<li>Cannot be used commercially
</ul>",
"description": "<strong>Trained on uncensored assistant data and instruction data</strong><br><ul><li>Instruction based<li>Cannot be used commercially</ul>",
"url": "https://huggingface.co/TheBloke/WizardLM-13B-Uncensored-GGML/resolve/main/wizardLM-13B-Uncensored.ggmlv3.q4_0.bin"
},
{
@ -250,13 +164,7 @@
"parameters": "3 billion",
"quant": "f16",
"type": "Replit",
"description": "
<strong>Trained on subset of the Stack</strong>
<br>
<ul>
<li>Code completion based
<li>Licensed for commercial use
</ul>",
"description": "<strong>Trained on subset of the Stack</strong><br><ul><li>Code completion based<li>Licensed for commercial use</ul>",
"url": "https://huggingface.co/nomic-ai/ggml-replit-code-v1-3b/resolve/main/ggml-replit-code-v1-3b.bin"
}
]

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