This commit is contained in:
RossAscends
2023-07-04 23:00:13 +09:00
43 changed files with 358 additions and 555 deletions

View File

@@ -1,7 +1,7 @@
{
"max_length": 2048,
"temp": 1.15,
"genamt": 100,
"temp": 1.15,
"top_k": 0,
"top_p": 0.95,
"top_a": 0,
@@ -11,12 +11,12 @@
"rep_pen_range": 2048,
"rep_pen_slope": 7,
"sampler_order": [
6,
3,
2,
0,
5,
1,
4,
6
4
]
}

View File

@@ -1,6 +1,16 @@
{
"apikey": "",
"andepth": 1,
"max_length": 2048,
"genamt": 90,
"temp": 0.8,
"top_k": 28,
"top_p": 0.94,
"top_a": 0.00,
"tfs": 0.96,
"typical": 0.98,
"rep_pen": 1.03,
"rep_pen_slope": 0.8,
"rep_pen_range": 120.0,
"ikgen": 200,
"sampler_order": [
6,
4,
@@ -9,46 +19,5 @@
0,
1,
5
],
"temp": 0.8,
"top_p": 0.94,
"top_k": 28,
"tfs": 0.96,
"typical": 0.98,
"top_a": 0.00,
"rep_pen": 1.03,
"rep_pen_slope": 0.8,
"rep_pen_range": 120.0,
"genamt": 90,
"max_length": 2048,
"ikgen": 200,
"formatoptns": {
"frmttriminc": true,
"frmtrmblln": false,
"frmtrmspch": false,
"frmtadsnsp": true,
"singleline": false
},
"numseqs": 1,
"widepth": 3,
"useprompt": false,
"adventure": false,
"chatmode": false,
"chatname": "You",
"dynamicscan": false,
"nopromptgen": false,
"rngpersist": false,
"nogenmod": false,
"fulldeterminism": false,
"autosave": false,
"welcome": "## Warning: This model has a very heavy NSFW bias and is not suitable for use by minors!\n\nYou are currently running story-writing model `Erebus, version 1 (20B).`\n\n This model is made by [Mr. Seeker](https://www.patreon.com/mrseeker) with help of ProudNoob and the KoboldAI team.\n\n### How to use this model\n\nErebus is designed to generate short stories and novels. Use the author's note to give it a certain genre to follow, use memory to give an overview of the story and use World Information to give specific details about the characters. To start off, give the AI an idea of what you are writing about by setting the scene. Give the AI around 10 sentences that make your story interesting to read. Introduce your character, describe the world, blow something up, or let the AI use its creative mind.",
"output_streaming": true,
"show_probs": false,
"show_budget": false,
"seed": null,
"newlinemode": "n",
"antemplate": "",
"userscripts": [],
"corescript": "default.lua",
"softprompt": ""
]
}

View File

@@ -1,7 +1,7 @@
{
"max_length": 2048,
"temp": 0.59,
"genamt": 100,
"temp": 0.59,
"top_k": 0,
"top_p": 1,
"top_a": 0,
@@ -11,12 +11,12 @@
"rep_pen_range": 2048,
"rep_pen_slope": 0.3,
"sampler_order": [
6,
5,
0,
2,
3,
1,
4,
6
4
]
}

View File

@@ -1,7 +1,7 @@
{
"max_length": 2048,
"temp": 0.8,
"genamt": 100,
"temp": 0.8,
"top_k": 100,
"top_p": 0.9,
"top_a": 0,
@@ -11,12 +11,12 @@
"rep_pen_range": 2048,
"rep_pen_slope": 3.4,
"sampler_order": [
6,
5,
0,
2,
3,
1,
4,
6
4
]
}

View File

@@ -1,21 +1,15 @@
{
"file_version": 2,
"max_length": 2048,
"ikmax": 3000,
"genamt": 180,
"ikgen": 200,
"rep_pen": 1.01,
"rep_pen_slope": 0.9,
"rep_pen_range": 1024,
"temp": 1.0,
"top_p": 0.9,
"top_k": 40,
"top_a": 0.0,
"tfs": 0.9,
"typical": 1.0,
"numseqs": 1,
"fp32_model": false,
"modeldim": 4096,
"rep_pen": 1.01,
"rep_pen_slope": 0.9,
"rep_pen_range": 1024,
"sampler_order": [
6,
0,
@@ -24,24 +18,5 @@
3,
4,
5
],
"newlinemode": "n",
"lazy_load": true,
"revision": null,
"selected_preset": "",
"horde_wait_time": 0,
"horde_queue_position": 0,
"horde_queue_size": 0,
"model": "pygmalion-6b",
"model_type": "gptj",
"url": "https://api.inferkit.com/v1/models/standard/generate",
"oaiurl": "",
"oaiengines": "https://api.openai.com/v1/engines",
"colaburl": "/request",
"apikey": "",
"oaiapikey": "",
"configname": "pygmalion-6b",
"online_model": "",
"alt_multi_gen": false
]
}

View File

@@ -1,21 +1,15 @@
{
"file_version": 2,
"max_length": 2048,
"ikmax": 3000,
"genamt": 180,
"ikgen": 200,
"rep_pen": 1.17,
"rep_pen_slope": 0.2,
"rep_pen_range": 1024,
"temp": 0.43,
"top_p": 0.96,
"top_k": 0,
"top_a": 0.0,
"tfs": 0.68,
"typical": 1.0,
"numseqs": 1,
"fp32_model": false,
"modeldim": 2560,
"rep_pen": 1.17,
"rep_pen_slope": 0.2,
"rep_pen_range": 1024,
"sampler_order": [
6,
0,
@@ -24,23 +18,5 @@
3,
4,
5
],
"newlinemode": "n",
"lazy_load": true,
"revision": null,
"selected_preset": "",
"horde_wait_time": 0,
"horde_queue_position": 0,
"horde_queue_size": 0,
"model": "pygmalion-2.7b",
"model_type": "gpt_neo",
"url": "https://api.inferkit.com/v1/models/standard/generate",
"oaiurl": "",
"oaiengines": "https://api.openai.com/v1/engines",
"colaburl": "/request",
"apikey": "",
"oaiapikey": "",
"configname": "pygmalion-2.7b",
"online_model": "",
"alt_multi_gen": false
]
}

View File

@@ -1,21 +1,15 @@
{
"file_version": 2,
"max_length": 2048,
"ikmax": 3000,
"genamt": 180,
"ikgen": 200,
"rep_pen": 1.1,
"rep_pen_slope": 0.9,
"rep_pen_range": 1024,
"temp": 0.65,
"top_p": 0.9,
"top_k": 0,
"top_a": 0.0,
"tfs": 0.9,
"typical": 1.0,
"numseqs": 1,
"fp32_model": false,
"modeldim": 4096,
"rep_pen": 1.1,
"rep_pen_slope": 0.9,
"rep_pen_range": 1024,
"sampler_order": [
6,
0,
@@ -23,25 +17,6 @@
2,
3,
4,
5
],
"newlinemode": "n",
"lazy_load": true,
"revision": null,
"selected_preset": "",
"horde_wait_time": 0,
"horde_queue_position": 0,
"horde_queue_size": 0,
"model": "pygmalion-6b",
"model_type": "gptj",
"url": "https://api.inferkit.com/v1/models/standard/generate",
"oaiurl": "",
"oaiengines": "https://api.openai.com/v1/engines",
"colaburl": "/request",
"apikey": "",
"oaiapikey": "",
"configname": "pygmalion-6b",
"online_model": "",
"alt_multi_gen": false
5
]
}

View File

@@ -1,22 +1,22 @@
{
"max_length": 2048,
"genamt": 100,
"temp": 0.51,
"top_p": 1,
"top_k": 0,
"tfs": 0.99,
"top_a": 0,
"typical": 1,
"rep_pen": 1.2,
"rep_pen_range": 2048,
"rep_pen_slope": 0,
"sampler_order": [
6,
5,
0,
2,
3,
1,
4,
6
],
"temp": 0.51,
"tfs": 0.99,
"top_a": 0,
"top_k": 0,
"top_p": 1,
"typical": 1
4
]
}

View File

@@ -1,7 +1,7 @@
{
"max_length": 1600,
"temp": 0.79,
"genamt": 180,
"temp": 0.79,
"top_k": 0,
"top_p": 0.9,
"top_a": 0,

View File

@@ -1,21 +1,15 @@
{
"file_version": 2,
"max_length": 2048,
"ikmax": 3000,
"genamt": 180,
"ikgen": 200,
"rep_pen": 1.19,
"rep_pen_slope": 0.9,
"rep_pen_range": 1024,
"temp": 0.79,
"top_p": 0.9,
"top_k": 0,
"top_a": 0.0,
"tfs": 0.95,
"typical": 1.0,
"numseqs": 1,
"fp32_model": false,
"modeldim": 4096,
"rep_pen": 1.19,
"rep_pen_slope": 0.9,
"rep_pen_range": 1024,
"sampler_order": [
6,
0,
@@ -24,24 +18,5 @@
3,
4,
5
],
"newlinemode": "n",
"lazy_load": true,
"revision": null,
"selected_preset": "",
"horde_wait_time": 0,
"horde_queue_position": 0,
"horde_queue_size": 0,
"model": "pygmalion-6b",
"model_type": "gptj",
"url": "https://api.inferkit.com/v1/models/standard/generate",
"oaiurl": "",
"oaiengines": "https://api.openai.com/v1/engines",
"colaburl": "/request",
"apikey": "",
"oaiapikey": "",
"configname": "pygmalion-6b",
"online_model": "",
"alt_multi_gen": false
]
}

View File

@@ -1,21 +1,15 @@
{
"file_version": 2,
"max_length": 1400,
"ikmax": 3000,
"genamt": 180,
"ikgen": 200,
"rep_pen": 1.08,
"rep_pen_slope": 0.9,
"rep_pen_range": 1024,
"temp": 0.65,
"top_p": 0.9,
"top_k": 0,
"top_a": 0.0,
"tfs": 0.9,
"typical": 1.0,
"numseqs": 1,
"fp32_model": false,
"modeldim": 4096,
"rep_pen": 1.08,
"rep_pen_slope": 0.9,
"rep_pen_range": 1024,
"sampler_order": [
6,
0,
@@ -24,24 +18,5 @@
3,
4,
5
],
"newlinemode": "n",
"lazy_load": true,
"revision": null,
"selected_preset": "",
"horde_wait_time": 0,
"horde_queue_position": 0,
"horde_queue_size": 0,
"model": "pygmalion-6b",
"model_type": "gptj",
"url": "https://api.inferkit.com/v1/models/standard/generate",
"oaiurl": "",
"oaiengines": "https://api.openai.com/v1/engines",
"colaburl": "/request",
"apikey": "",
"oaiapikey": "",
"configname": "pygmalion-6b",
"online_model": "",
"alt_multi_gen": false
]
}

View File

@@ -1,7 +1,7 @@
{
"max_length": 2048,
"temp": 0.63,
"genamt": 100,
"temp": 0.63,
"top_k": 0,
"top_p": 0.98,
"top_a": 0,
@@ -11,12 +11,12 @@
"rep_pen_range": 2048,
"rep_pen_slope": 0.1,
"sampler_order": [
6,
2,
0,
3,
5,
1,
4,
6
4
]
}

View File

@@ -1,7 +1,7 @@
{
"max_length": 2048,
"temp": 0.7,
"genamt": 100,
"temp": 0.7,
"top_k": 0,
"top_p": 0.5,
"top_a": 0.75,
@@ -11,12 +11,12 @@
"rep_pen_range": 1024,
"rep_pen_slope": 0.7,
"sampler_order": [
6,
5,
4,
3,
2,
1,
0,
6
0
]
}

View File

@@ -1,7 +1,7 @@
{
"max_length": 2048,
"temp": 0.7,
"genamt": 100,
"temp": 0.7,
"top_k": 0,
"top_p": 1,
"top_a": 0,
@@ -11,12 +11,12 @@
"rep_pen_range": 1024,
"rep_pen_slope": 0.7,
"sampler_order": [
6,
0,
1,
2,
3,
4,
5,
6
5
]
}

View File

@@ -1,15 +1,6 @@
{
"apikey": "",
"andepth": 1,
"sampler_order": [
6,
4,
3,
2,
0,
1,
5
],
"max_length": 2048,
"genamt": 90,
"temp": 0.8,
"top_p": 0.94,
"top_k": 15,
@@ -19,36 +10,13 @@
"rep_pen": 1.02,
"rep_pen_slope": 0.8,
"rep_pen_range": 256.0,
"genamt": 90,
"max_length": 2048,
"ikgen": 200,
"formatoptns": {
"frmttriminc": true,
"frmtrmblln": false,
"frmtrmspch": false,
"frmtadsnsp": true,
"singleline": false
},
"numseqs": 1,
"widepth": 3,
"useprompt": false,
"adventure": false,
"chatmode": false,
"chatname": "You",
"dynamicscan": false,
"nopromptgen": false,
"rngpersist": false,
"nogenmod": false,
"fulldeterminism": false,
"autosave": false,
"welcome": "## Warning: This model has a very heavy NSFW bias and is not suitable for use by minors!\n\nYou are currently running story-writing model `Erebus, version 1 (20B).`\n\n This model is made by [Mr. Seeker](https://www.patreon.com/mrseeker) with help of ProudNoob and the KoboldAI team.\n\n### How to use this model\n\nErebus is designed to generate short stories and novels. Use the author's note to give it a certain genre to follow, use memory to give an overview of the story and use World Information to give specific details about the characters. To start off, give the AI an idea of what you are writing about by setting the scene. Give the AI around 10 sentences that make your story interesting to read. Introduce your character, describe the world, blow something up, or let the AI use its creative mind.",
"output_streaming": true,
"show_probs": false,
"show_budget": false,
"seed": null,
"newlinemode": "n",
"antemplate": "",
"userscripts": [],
"corescript": "default.lua",
"softprompt": ""
"sampler_order": [
6,
4,
3,
2,
0,
1,
5
]
}

View File

@@ -1,7 +1,7 @@
{
"max_length": 2048,
"temp": 0.66,
"genamt": 100,
"temp": 0.66,
"top_k": 0,
"top_p": 1,
"top_a": 0.96,
@@ -11,12 +11,12 @@
"rep_pen_range": 1024,
"rep_pen_slope": 0.7,
"sampler_order": [
6,
4,
5,
1,
0,
2,
3,
6
3
]
}

View File

@@ -1,7 +1,7 @@
{
"max_length": 2048,
"temp": 0.94,
"genamt": 100,
"temp": 0.94,
"top_k": 12,
"top_p": 1,
"top_a": 0,
@@ -11,12 +11,12 @@
"rep_pen_range": 2048,
"rep_pen_slope": 0.2,
"sampler_order": [
6,
5,
0,
2,
3,
1,
4,
6
4
]
}

View File

@@ -1,7 +1,7 @@
{
"max_length": 2048,
"temp": 1.5,
"genamt": 100,
"temp": 1.5,
"top_k": 85,
"top_p": 0.24,
"top_a": 0,
@@ -11,12 +11,12 @@
"rep_pen_range": 2048,
"rep_pen_slope": 0,
"sampler_order": [
6,
5,
0,
2,
3,
1,
4,
6
4
]
}

View File

@@ -1,7 +1,7 @@
{
"max_length": 2048,
"temp": 1.05,
"genamt": 100,
"temp": 1.05,
"top_k": 0,
"top_p": 0.95,
"top_a": 0,
@@ -11,12 +11,12 @@
"rep_pen_range": 1024,
"rep_pen_slope": 0.7,
"sampler_order": [
6,
0,
1,
2,
3,
4,
5,
6
5
]
}

View File

@@ -1,7 +1,7 @@
{
"max_length": 2048,
"temp": 1.07,
"genamt": 100,
"temp": 1.07,
"top_k": 100,
"top_p": 1,
"top_a": 0,
@@ -11,12 +11,12 @@
"rep_pen_range": 404,
"rep_pen_slope": 0.8,
"sampler_order": [
6,
0,
5,
3,
2,
1,
4,
6
4
]
}

View File

@@ -1,7 +1,7 @@
{
"max_length": 2048,
"temp": 0.44,
"genamt": 100,
"temp": 0.44,
"top_k": 0,
"top_p": 1,
"top_a": 0,
@@ -11,12 +11,12 @@
"rep_pen_range": 2048,
"rep_pen_slope": 6.8,
"sampler_order": [
6,
5,
0,
2,
3,
1,
4,
6
4
]
}

View File

@@ -1,7 +1,7 @@
{
"max_length": 2048,
"temp": 1.35,
"genamt": 100,
"temp": 1.35,
"top_k": 0,
"top_p": 1,
"top_a": 0,
@@ -11,12 +11,12 @@
"rep_pen_range": 2048,
"rep_pen_slope": 0.1,
"sampler_order": [
6,
3,
2,
5,
0,
1,
4,
6
4
]
}

View File

@@ -1,21 +1,15 @@
{
"file_version": 2,
"max_length": 1400,
"ikmax": 3000,
"genamt": 80,
"ikgen": 200,
"rep_pen": 1.04,
"rep_pen_slope": 0.0,
"rep_pen_range": 1400,
"temp": 1,
"top_p": 1,
"top_k": 0,
"top_a": 0.0,
"tfs": 0.97,
"typical": 1.0,
"numseqs": 1,
"fp32_model": false,
"modeldim": 2560,
"rep_pen": 1.04,
"rep_pen_slope": 0.0,
"rep_pen_range": 1400,
"sampler_order": [
6,
0,
@@ -24,23 +18,5 @@
3,
4,
5
],
"newlinemode": "n",
"lazy_load": true,
"revision": null,
"selected_preset": "",
"horde_wait_time": 0,
"horde_queue_position": 0,
"horde_queue_size": 0,
"model": "pygmalion-1.3b",
"model_type": "gpt_neo",
"url": "https://api.inferkit.com/v1/models/standard/generate",
"oaiurl": "",
"oaiengines": "https://api.openai.com/v1/engines",
"colaburl": "/request",
"apikey": "",
"oaiapikey": "",
"configname": "pygmalion-1.3b",
"online_model": "",
"alt_multi_gen": false
]
}

View File

@@ -1,7 +1,7 @@
{
"max_length": 100,
"temp": 1,
"genamt": 100,
"temp": 1,
"top_k": 0,
"top_p": 0.95,
"top_a": 0,

View File

@@ -1,22 +1,22 @@
{
"max_length": 2048,
"genamt": 100,
"rep_pen": 1.1,
"rep_pen_range": 2048,
"rep_pen_slope": 0.2,
"sampler_order": [
5,
0,
2,
3,
1,
4,
6
],
"temp": 0.72,
"tfs": 1,
"top_a": 0,
"top_k": 0,
"top_p": 0.73,
"typical": 1
"typical": 1,
"rep_pen": 1.1,
"rep_pen_range": 2048,
"rep_pen_slope": 0.2,
"sampler_order": [
6,
5,
0,
2,
3,
1,
4
]
}

View File

@@ -1,19 +1,19 @@
{
"temp": 1.68,
"top_p": 0.17,
"top_k": 77,
"typical_p": 1,
"top_a": 0.42,
"tfs": 0.97,
"epsilon_cutoff": 0,
"eta_cutoff": 0,
"rep_pen": 1.02,
"no_repeat_ngram_size": 0,
"penalty_alpha": 0,
"num_beams": 1,
"length_penalty": 1,
"min_length": 0,
"encoder_rep_pen": 1,
"do_sample": true,
"early_stopping": false
}
{
"temp": 1.68,
"top_p": 0.17,
"top_k": 77,
"typical_p": 1,
"top_a": 0.42,
"tfs": 0.97,
"epsilon_cutoff": 0,
"eta_cutoff": 0,
"rep_pen": 1.02,
"no_repeat_ngram_size": 0,
"penalty_alpha": 0,
"num_beams": 1,
"length_penalty": 1,
"min_length": 0,
"encoder_rep_pen": 1,
"do_sample": true,
"early_stopping": false
}

View File

@@ -1,19 +1,19 @@
{
"temp": 0.87,
"top_p": 0.99,
"top_k": 85,
"typical_p": 0.68,
"top_a": 0,
"tfs": 0.68,
"epsilon_cutoff": 0,
"eta_cutoff": 0,
"rep_pen": 1.01,
"no_repeat_ngram_size": 0,
"penalty_alpha": 0,
"num_beams": 1,
"length_penalty": 1,
"min_length": 0,
"encoder_rep_pen": 1,
"do_sample": true,
"early_stopping": false
}
{
"temp": 0.87,
"top_p": 0.99,
"top_k": 85,
"typical_p": 0.68,
"top_a": 0,
"tfs": 0.68,
"epsilon_cutoff": 0,
"eta_cutoff": 0,
"rep_pen": 1.01,
"no_repeat_ngram_size": 0,
"penalty_alpha": 0,
"num_beams": 1,
"length_penalty": 1,
"min_length": 0,
"encoder_rep_pen": 1,
"do_sample": true,
"early_stopping": false
}

View File

@@ -1,20 +1,19 @@
{
"temp": 1.31,
"top_p": 0.14,
"top_k": 49,
"typical_p": 1,
"top_a": 0.52,
"tfs": 1,
"epsilon_cutoff": 1.49,
"eta_cutoff": 10.42,
"rep_pen": 1.17,
"no_repeat_ngram_size": 0,
"penalty_alpha": 0,
"num_beams": 1,
"length_penalty": 1,
"min_length": 0,
"encoder_rep_pen": 1,
"do_sample": true,
"early_stopping": false
}
{
"temp": 1.31,
"top_p": 0.14,
"top_k": 49,
"typical_p": 1,
"top_a": 0.52,
"tfs": 1,
"epsilon_cutoff": 1.49,
"eta_cutoff": 10.42,
"rep_pen": 1.17,
"no_repeat_ngram_size": 0,
"penalty_alpha": 0,
"num_beams": 1,
"length_penalty": 1,
"min_length": 0,
"encoder_rep_pen": 1,
"do_sample": true,
"early_stopping": false
}

View File

@@ -1,19 +1,19 @@
{
"temp": 0.98,
"top_p": 0.37,
"top_k": 100,
"typical_p": 1,
"top_a": 0,
"tfs": 1,
"epsilon_cutoff": 0,
"eta_cutoff": 0,
"rep_pen": 1.18,
"no_repeat_ngram_size": 0,
"penalty_alpha": 0,
"num_beams": 1,
"length_penalty": 1,
"min_length": 0,
"encoder_rep_pen": 1,
"do_sample": true,
"early_stopping": false
}
{
"temp": 0.98,
"top_p": 0.37,
"top_k": 100,
"typical_p": 1,
"top_a": 0,
"tfs": 1,
"epsilon_cutoff": 0,
"eta_cutoff": 0,
"rep_pen": 1.18,
"no_repeat_ngram_size": 0,
"penalty_alpha": 0,
"num_beams": 1,
"length_penalty": 1,
"min_length": 0,
"encoder_rep_pen": 1,
"do_sample": true,
"early_stopping": false
}

View File

@@ -1,19 +1,19 @@
{
"temp": 1.53,
"top_p": 0.64,
"top_k": 33,
"typical_p": 1,
"top_a": 0.04,
"tfs": 1,
"epsilon_cutoff": 0,
"eta_cutoff": 0,
"rep_pen": 1.07,
"no_repeat_ngram_size": 0,
"penalty_alpha": 0,
"num_beams": 1,
"length_penalty": 1,
"min_length": 0,
"encoder_rep_pen": 1,
"do_sample": true,
"early_stopping": false
}
{
"temp": 1.53,
"top_p": 0.64,
"top_k": 33,
"typical_p": 1,
"top_a": 0.04,
"tfs": 1,
"epsilon_cutoff": 0,
"eta_cutoff": 0,
"rep_pen": 1.07,
"no_repeat_ngram_size": 0,
"penalty_alpha": 0,
"num_beams": 1,
"length_penalty": 1,
"min_length": 0,
"encoder_rep_pen": 1,
"do_sample": true,
"early_stopping": false
}

View File

@@ -1,19 +1,19 @@
{
"temp": 0.7,
"top_p": 0.9,
"top_k": 20,
"typical_p": 1,
"top_a": 0.75,
"tfs": 1,
"epsilon_cutoff": 0,
"eta_cutoff": 0,
"rep_pen": 1.15,
"no_repeat_ngram_size": 0,
"penalty_alpha": 0,
"num_beams": 1,
"length_penalty": 1,
"min_length": 0,
"encoder_rep_pen": 1,
"do_sample": true,
"early_stopping": false
}
{
"temp": 0.7,
"top_p": 0.9,
"top_k": 20,
"typical_p": 1,
"top_a": 0.75,
"tfs": 1,
"epsilon_cutoff": 0,
"eta_cutoff": 0,
"rep_pen": 1.15,
"no_repeat_ngram_size": 0,
"penalty_alpha": 0,
"num_beams": 1,
"length_penalty": 1,
"min_length": 0,
"encoder_rep_pen": 1,
"do_sample": true,
"early_stopping": false
}

View File

@@ -1,19 +1,19 @@
{
"temp": 1.31,
"top_p": 0.29,
"top_k": 72,
"typical_p": 1,
"top_a": 0,
"tfs": 1,
"epsilon_cutoff": 0,
"eta_cutoff": 0,
"rep_pen": 1.09,
"no_repeat_ngram_size": 0,
"penalty_alpha": 0,
"num_beams": 1,
"length_penalty": 1,
"min_length": 0,
"encoder_rep_pen": 1,
"do_sample": true,
"early_stopping": false
}
{
"temp": 1.31,
"top_p": 0.29,
"top_k": 72,
"typical_p": 1,
"top_a": 0,
"tfs": 1,
"epsilon_cutoff": 0,
"eta_cutoff": 0,
"rep_pen": 1.09,
"no_repeat_ngram_size": 0,
"penalty_alpha": 0,
"num_beams": 1,
"length_penalty": 1,
"min_length": 0,
"encoder_rep_pen": 1,
"do_sample": true,
"early_stopping": false
}

View File

@@ -1,19 +1,19 @@
{
"temp": 0.02,
"top_p": 0.95,
"top_k": 50,
"typical_p": 1,
"top_a": 0,
"tfs": 1,
"epsilon_cutoff": 0,
"eta_cutoff": 0,
"rep_pen": 1,
"no_repeat_ngram_size": 0,
"penalty_alpha": 0,
"num_beams": 1,
"length_penalty": 1,
"min_length": 0,
"encoder_rep_pen": 1,
"do_sample": true,
"early_stopping": false
}
{
"temp": 0.02,
"top_p": 0.95,
"top_k": 50,
"typical_p": 1,
"top_a": 0,
"tfs": 1,
"epsilon_cutoff": 0,
"eta_cutoff": 0,
"rep_pen": 1,
"no_repeat_ngram_size": 0,
"penalty_alpha": 0,
"num_beams": 1,
"length_penalty": 1,
"min_length": 0,
"encoder_rep_pen": 1,
"do_sample": true,
"early_stopping": false
}

View File

@@ -1,19 +1,19 @@
{
"temp": 0.7,
"top_p": 1,
"top_k": 0,
"typical_p": 1,
"top_a": 0.2,
"tfs": 0.95,
"epsilon_cutoff": 0,
"eta_cutoff": 0,
"rep_pen": 1.15,
"no_repeat_ngram_size": 0,
"penalty_alpha": 0,
"num_beams": 1,
"length_penalty": 1,
"min_length": 0,
"encoder_rep_pen": 1,
"do_sample": true,
"early_stopping": false
}
{
"temp": 0.7,
"top_p": 1,
"top_k": 0,
"typical_p": 1,
"top_a": 0.2,
"tfs": 0.95,
"epsilon_cutoff": 0,
"eta_cutoff": 0,
"rep_pen": 1.15,
"no_repeat_ngram_size": 0,
"penalty_alpha": 0,
"num_beams": 1,
"length_penalty": 1,
"min_length": 0,
"encoder_rep_pen": 1,
"do_sample": true,
"early_stopping": false
}

View File

@@ -1,19 +1,19 @@
{
"temp": 1.01,
"top_p": 0.21,
"top_k": 91,
"typical_p": 1,
"top_a": 0.75,
"tfs": 1,
"epsilon_cutoff": 0,
"eta_cutoff": 10.78,
"rep_pen": 1.21,
"no_repeat_ngram_size": 0,
"penalty_alpha": 0,
"num_beams": 1,
"length_penalty": 1,
"min_length": 0,
"encoder_rep_pen": 1.07,
"do_sample": true,
"early_stopping": false
}
{
"temp": 1.01,
"top_p": 0.21,
"top_k": 91,
"typical_p": 1,
"top_a": 0.75,
"tfs": 1,
"epsilon_cutoff": 0,
"eta_cutoff": 10.78,
"rep_pen": 1.21,
"no_repeat_ngram_size": 0,
"penalty_alpha": 0,
"num_beams": 1,
"length_penalty": 1,
"min_length": 0,
"encoder_rep_pen": 1.07,
"do_sample": true,
"early_stopping": false
}

View File

@@ -1,19 +1,19 @@
{
"temp": 0.82,
"top_p": 0.21,
"top_k": 72,
"typical_p": 1,
"top_a": 0,
"tfs": 1,
"epsilon_cutoff": 0,
"eta_cutoff": 0,
"rep_pen": 1.19,
"no_repeat_ngram_size": 0,
"penalty_alpha": 0,
"num_beams": 1,
"length_penalty": 1,
"min_length": 0,
"encoder_rep_pen": 1,
"do_sample": true,
"early_stopping": false
}
{
"temp": 0.82,
"top_p": 0.21,
"top_k": 72,
"typical_p": 1,
"top_a": 0,
"tfs": 1,
"epsilon_cutoff": 0,
"eta_cutoff": 0,
"rep_pen": 1.19,
"no_repeat_ngram_size": 0,
"penalty_alpha": 0,
"num_beams": 1,
"length_penalty": 1,
"min_length": 0,
"encoder_rep_pen": 1,
"do_sample": true,
"early_stopping": false
}

View File

@@ -1478,7 +1478,7 @@
<option value="windowai">Window AI / OpenRouter</option>
<option value="claude">Claude</option>
</select>
<form id="openai_form" data-source="openai">
<form id="openai_form" data-source="openai" action="javascript:void(null);" method="post" enctype="multipart/form-data">
<h4>OpenAI API key</h4>
<span>
<ol>
@@ -1516,7 +1516,7 @@
<a id="openai_api_usage" href="javascript:void(0);">View API Usage Metrics</a>
</div>
</form>
<form id="claude_form" data-source="claude">
<form id="claude_form" data-source="claude" action="javascript:void(null);" method="post" enctype="multipart/form-data">
<h4>Claude API Key</h4>
<div>
Get your key from <a target="_blank" href="https://console.anthropic.com/account/keys">Anthropic's developer console</a>.
@@ -1555,7 +1555,7 @@
</div>
</form>
<form id="windowai_form" data-source="windowai">
<form id="windowai_form" data-source="windowai" action="javascript:void(null);" method="post" enctype="multipart/form-data">
<div>
<h4 data-i18n="Window AI Model">Window AI Model</h4>
<select id="model_windowai_select">
@@ -3556,4 +3556,4 @@
</script>
</body>
</html>
</html>

View File

@@ -4692,16 +4692,18 @@ async function getSettings(type) {
$("#amount_gen_counter").text(`${amount_gen}`);
//Load which API we are using
if (settings.main_api != undefined) {
main_api = settings.main_api;
$('#main_api').val(main_api);
$("#main_api option[value=" + main_api + "]").attr(
"selected",
"true"
);
changeMainAPI();
if (settings.main_api == undefined) {
settings.main_api = 'kobold';
}
main_api = settings.main_api;
$('#main_api').val(main_api);
$("#main_api option[value=" + main_api + "]").attr(
"selected",
"true"
);
changeMainAPI();
//Load User's Name and Avatar
user_avatar = settings.user_avatar;

View File

@@ -35,6 +35,7 @@ async function loadSettings() {
}
}
initializeEmptySlots(extension_settings.quickReply.numberOfSlots);
generateQuickReplyElements();
for (let i = 1; i <= extension_settings.quickReply.numberOfSlots; i++) {
@@ -131,6 +132,15 @@ async function onQuickReplyNumberOfSlotsInput() {
extension_settings.quickReply.quickReplySlots.length = numberOfSlots;
// Initialize new slots
initializeEmptySlots(numberOfSlots);
await loadSettings();
addQuickReplyBar();
moduleWorker();
saveSettingsDebounced();
}
function initializeEmptySlots(numberOfSlots) {
for (let i = 0; i < numberOfSlots; i++) {
if (!extension_settings.quickReply.quickReplySlots[i]) {
extension_settings.quickReply.quickReplySlots[i] = {
@@ -140,11 +150,6 @@ async function onQuickReplyNumberOfSlotsInput() {
};
}
}
await loadSettings();
addQuickReplyBar();
moduleWorker();
saveSettingsDebounced();
}
function generateQuickReplyElements() {

View File

@@ -610,6 +610,14 @@ function loadPowerUserSettings(settings, data) {
power_user.font_scale = Number(localStorage.getItem(storage_keys.font_scale) ?? 1);
power_user.blur_strength = Number(localStorage.getItem(storage_keys.blur_strength) ?? 10);
if (power_user.chat_display === '') {
power_user.chat_display = chat_styles.DEFAULT;
}
if (power_user.waifuMode === '') {
power_user.waifuMode = false;
}
$('#trim_spaces').prop("checked", power_user.trim_spaces);
$('#continue_on_send').prop("checked", power_user.continue_on_send);
$('#auto_swipe').prop("checked", power_user.auto_swipe);

View File

@@ -1142,8 +1142,8 @@ function convertCharacterBook(characterBook) {
entry.id = index;
}
result.entries[index] = {
uid: entry.id || index,
result.entries[entry.id] = {
uid: entry.id,
key: entry.keys,
keysecondary: entry.secondary_keys || [],
comment: entry.comment || "",