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1
+
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+ ---
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+
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+ tags:
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+ - merge
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+ - mergekit
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+ - lazymergekit
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+ - not-for-all-audiences
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+ - nsfw
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+ - rp
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+ - roleplay
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+ - role-play
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+ license: llama3
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+ language:
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+ - en
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+ pipeline_tag: text-generation
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+ base_model:
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+ - Sao10K/L3-8B-Stheno-v3.2
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+ - ChaoticNeutrals/Poppy_Porpoise-1.0-L3-8B
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+ - Nitral-AI/Hathor_Stable-v0.2-L3-8B
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+ - NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS
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+ - Hastagaras/Jamet-8B-L3-MK.V-Blackroot
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+ - openlynn/Llama-3-Soliloquy-8B-v2
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+ - NousResearch/Meta-Llama-3-8B-Instruct
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+ - turboderp/llama3-turbcat-instruct-8b
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+ - VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct
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+ - TIGER-Lab/MAmmoTH2-8B-Plus
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+ - jondurbin/bagel-8b-v1.0
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+ - abacusai/Llama-3-Smaug-8B
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+ - failspy/Meta-Llama-3-8B-Instruct-abliterated-v3
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+ - AwanLLM/Awanllm-Llama-3-8B-Cumulus-v1.0
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+ - lodrick-the-lafted/Limon-8B
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+ - vicgalle/Configurable-Llama-3-8B-v0.3
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+ - Undi95/Llama3-Unholy-8B-OAS
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+ - Undi95/Unholy-8B-DPO-OAS
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+
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+ ---
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+
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+ ![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)
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+
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+ # QuantFactory/L3-Scrambled-Eggs-On-Toast-8B-GGUF
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+ This is quantized version of [Casual-Autopsy/L3-Scrambled-Eggs-On-Toast-8B](https://huggingface.co/Casual-Autopsy/L3-Scrambled-Eggs-On-Toast-8B) created using llama.cpp
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+
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+ # Original Model Card
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+
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+
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+ # L3-Scrambled-Eggs-On-Toast-8B
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+
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+ **L3-Scrambled-Eggs-On-Toast-8B** is a role-play model merger **using 18 models** that was made **in 11 merging steps.**
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+
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+ The goal is to create both a creative and smart model by using gradients.
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+ Each model has their own section in the gradient where they have a larger weight to promote intelligence whereas the rest of the models in the section of the gradient have a small weight to promote creativity.
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+
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+ The following models were used as inspiration:
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+ * [grimjim/kunoichi-lemon-royale-v3-32K-7B](https://huggingface.co/grimjim/kunoichi-lemon-royale-v3-32K-7B)
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+ * [invisietch/EtherealRainbow-v0.3-8B](https://huggingface.co/invisietch/EtherealRainbow-v0.3-8B)
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+ * [PJMixers/LLaMa-3-CursedStock-v2.0-8B](https://huggingface.co/PJMixers/LLaMa-3-CursedStock-v2.0-8B)
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+
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+ ## Instruct Format
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+
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+ Llama 3
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+
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+ ## Settings/Presets
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+
65
+ ### Instruct/Context
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+
67
+ Virt-io's [SillyTavern Presets](https://huggingface.co/Virt-io/SillyTavern-Presets/tree/main/Prompts/LLAMA-3/v1.9) is recommended.
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+
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+ ### Sampler Settings
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+
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+ Here are the current recommended settings for **more creativity**
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+ ```
73
+ Top K: 60
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+ Min P: 0.035
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+ Rep Pen: 1.05
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+ Rep Pen Range: 2048
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+ Pres Pen: 0.15
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+ Smoothing Factor: 0.25
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+ Dyna Temp:
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+ Min Temp: 0.75
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+ Max Temp: 1.5
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+ Expo: 0.85
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+ ```
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+
85
+ if you want **more adherence**, then the **Naive preset** is recommended
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+
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+ ## Quants
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+
89
+ Weighted Quants by:
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+ - [Lewdiculous](https://huggingface.co/LWDCLS/L3-Scrambled-Eggs-On-Toast-8B-GGUF-IQ-Imatrix-Request)
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+ - [mradermacher](https://huggingface.co/mradermacher/L3-Scrambled-Eggs-On-Toast-8B-i1-GGUF)
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+
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+ Static Quants by:
94
+ - [mradermacher](https://huggingface.co/mradermacher/L3-Scrambled-Eggs-On-Toast-8B-GGUF)
95
+
96
+ # Secret Sauce
97
+
98
+ ## Models Used
99
+
100
+ L3-Scrambled-Eggs-On-Toast-8B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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+ * [Sao10K/L3-8B-Stheno-v3.2](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.2)
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+ * [ChaoticNeutrals/Poppy_Porpoise-1.0-L3-8B](https://huggingface.co/ChaoticNeutrals/Poppy_Porpoise-1.0-L3-8B)
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+ * [Nitral-AI/Hathor_Stable-v0.2-L3-8B](https://huggingface.co/Nitral-AI/Hathor_Stable-v0.2-L3-8B)
104
+ * [NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS](https://huggingface.co/NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS)
105
+ * [Hastagaras/Jamet-8B-L3-MK.V-Blackroot](https://huggingface.co/Hastagaras/Jamet-8B-L3-MK.V-Blackroot)
106
+ * [openlynn/Llama-3-Soliloquy-8B-v2](https://huggingface.co/openlynn/Llama-3-Soliloquy-8B-v2)
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+ * [NousResearch/Meta-Llama-3-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct)
108
+ * [turboderp/llama3-turbcat-instruct-8b](https://huggingface.co/turboderp/llama3-turbcat-instruct-8b)
109
+ * [VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct](https://huggingface.co/VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct)
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+ * [TIGER-Lab/MAmmoTH2-8B-Plus](https://huggingface.co/TIGER-Lab/MAmmoTH2-8B-Plus)
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+ * [jondurbin/bagel-8b-v1.0](https://huggingface.co/jondurbin/bagel-8b-v1.0)
112
+ * [abacusai/Llama-3-Smaug-8B](https://huggingface.co/abacusai/Llama-3-Smaug-8B)
113
+ * [failspy/Meta-Llama-3-8B-Instruct-abliterated-v3](https://huggingface.co/failspy/Meta-Llama-3-8B-Instruct-abliterated-v3)
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+ * [AwanLLM/Awanllm-Llama-3-8B-Cumulus-v1.0](https://huggingface.co/AwanLLM/Awanllm-Llama-3-8B-Cumulus-v1.0)
115
+ * [lodrick-the-lafted/Limon-8B](https://huggingface.co/lodrick-the-lafted/Limon-8B)
116
+ * [vicgalle/Configurable-Llama-3-8B-v0.3](https://huggingface.co/vicgalle/Configurable-Llama-3-8B-v0.3)
117
+ * [Undi95/Llama3-Unholy-8B-OAS](https://huggingface.co/Undi95/Llama3-Unholy-8B-OAS)
118
+ * [Undi95/Unholy-8B-DPO-OAS](https://huggingface.co/Undi95/Unholy-8B-DPO-OAS)
119
+
120
+ ## YAML Configs Used
121
+
122
+ The following YAML configs were used to make this mode
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+
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+ ### Eggs-and-Bread-RP-pt.1
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+
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+ ```yaml
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+ models:
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+ - model: Sao10K/L3-8B-Stheno-v3.2
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+ - model: ChaoticNeutrals/Poppy_Porpoise-1.0-L3-8B
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+ parameters:
131
+ density: 0.5
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+ weight: [0.33, 0.0825, 0.0825, 0.0825, 0.0825]
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+ - model: Nitral-AI/Hathor_Stable-v0.2-L3-8B
134
+ parameters:
135
+ density: 0.5
136
+ weight: [0.0825, 0.33, 0.0825, 0.0825, 0.0825]
137
+ - model: NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS
138
+ parameters:
139
+ density: 0.5
140
+ weight: [0.0825, 0.0825, 0.33, 0.0825, 0.0825]
141
+ - model: Hastagaras/Jamet-8B-L3-MK.V-Blackroot
142
+ parameters:
143
+ density: 0.5
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+ weight: [0.0825, 0.0825, 0.0825, 0.33, 0.0825]
145
+ - model: openlynn/Llama-3-Soliloquy-8B-v2
146
+ parameters:
147
+ density: 0.5
148
+ weight: [0.0825, 0.0825, 0.0825, 0.0825, 0.33]
149
+ merge_method: dare_ties
150
+ base_model: Sao10K/L3-8B-Stheno-v3.2
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+ parameters:
152
+ normalize: false
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+ int8_mask: true
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+ dtype: bfloat16
155
+ ```
156
+
157
+ ### Eggs-and-Bread-RP-pt.2
158
+
159
+ ```yaml
160
+ models:
161
+ - model: Sao10K/L3-8B-Stheno-v3.2
162
+ - model: ChaoticNeutrals/Poppy_Porpoise-1.0-L3-8B
163
+ parameters:
164
+ gamma: 0.01
165
+ density: 0.9
166
+ weight: [0.0825, 0.0825, 0.0825, 0.0825, 0.33]
167
+ - model: Nitral-AI/Hathor_Stable-v0.2-L3-8B
168
+ parameters:
169
+ gamma: 0.01
170
+ density: 0.9
171
+ weight: [0.0825, 0.0825, 0.0825, 0.33, 0.0825]
172
+ - model: NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS
173
+ parameters:
174
+ gamma: 0.01
175
+ density: 0.9
176
+ weight: [0.0825, 0.0825, 0.33, 0.0825, 0.0825]
177
+ - model: Hastagaras/Jamet-8B-L3-MK.V-Blackroot
178
+ parameters:
179
+ gamma: 0.01
180
+ density: 0.9
181
+ weight: [0.0825, 0.33, 0.0825, 0.0825, 0.0825]
182
+ - model: openlynn/Llama-3-Soliloquy-8B-v2
183
+ parameters:
184
+ gamma: 0.01
185
+ density: 0.9
186
+ weight: [0.33, 0.0825, 0.0825, 0.0825, 0.0825]
187
+ merge_method: breadcrumbs_ties
188
+ base_model: Sao10K/L3-8B-Stheno-v3.2
189
+ parameters:
190
+ normalize: false
191
+ int8_mask: true
192
+ dtype: bfloat16
193
+ ```
194
+
195
+ ### Egg-and-Bread-RP
196
+
197
+ ```yaml
198
+ models:
199
+ - model: Casual-Autopsy/Eggs-and-Bread-RP-pt.1
200
+ - model: Casual-Autopsy/Eggs-and-Bread-RP-pt.2
201
+ merge_method: slerp
202
+ base_model: Casual-Autopsy/Eggs-and-Bread-RP-pt.1
203
+ parameters:
204
+ t:
205
+ - filter: self_attn
206
+ value: [0.5, 0.3, 0.7, 0.5, 0.7, 0.3, 0.5, 0.3, 0.7, 0.5, 0.7, 0.3, 0.5]
207
+ - filter: mlp
208
+ value: [0.5, 0.7, 0.3, 0.5, 0.3, 0.7, 0.5, 0.7, 0.3, 0.5, 0.3, 0.7, 0.5]
209
+ - value: 0.5
210
+ dtype: bfloat16
211
+ ```
212
+
213
+ ### Eggs-and-Bread-IQ-pt.1
214
+
215
+ ```yaml
216
+ models:
217
+ - model: NousResearch/Meta-Llama-3-8B-Instruct
218
+ - model: turboderp/llama3-turbcat-instruct-8b
219
+ parameters:
220
+ density: 0.5
221
+ weight: [0.33, 0.0825, 0.0825, 0.0825, 0.0825]
222
+ - model: VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct
223
+ parameters:
224
+ density: 0.5
225
+ weight: [0.0825, 0.33, 0.0825, 0.0825, 0.0825]
226
+ - model: TIGER-Lab/MAmmoTH2-8B-Plus
227
+ parameters:
228
+ density: 0.5
229
+ weight: [0.0825, 0.0825, 0.33, 0.0825, 0.0825]
230
+ - model: jondurbin/bagel-8b-v1.0
231
+ parameters:
232
+ density: 0.5
233
+ weight: [0.0825, 0.0825, 0.0825, 0.33, 0.0825]
234
+ - model: abacusai/Llama-3-Smaug-8B
235
+ parameters:
236
+ density: 0.5
237
+ weight: [0.0825, 0.0825, 0.0825, 0.0825, 0.33]
238
+ merge_method: dare_ties
239
+ base_model: NousResearch/Meta-Llama-3-8B-Instruct
240
+ parameters:
241
+ normalize: false
242
+ int8_mask: true
243
+ dtype: bfloat16
244
+ ```
245
+
246
+ ### Eggs-and-Bread-IQ-pt.2
247
+
248
+ ```yaml
249
+ models:
250
+ - model: NousResearch/Meta-Llama-3-8B-Instruct
251
+ - model: turboderp/llama3-turbcat-instruct-8b
252
+ parameters:
253
+ gamma: 0.01
254
+ density: 0.9
255
+ weight: [0.0825, 0.0825, 0.0825, 0.0825, 0.33]
256
+ - model: VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct
257
+ parameters:
258
+ gamma: 0.01
259
+ density: 0.9
260
+ weight: [0.0825, 0.0825, 0.0825, 0.33, 0.0825]
261
+ - model: TIGER-Lab/MAmmoTH2-8B-Plus
262
+ parameters:
263
+ gamma: 0.01
264
+ density: 0.9
265
+ weight: [0.0825, 0.0825, 0.33, 0.0825, 0.0825]
266
+ - model: jondurbin/bagel-8b-v1.0
267
+ parameters:
268
+ gamma: 0.01
269
+ density: 0.9
270
+ weight: [0.0825, 0.33, 0.0825, 0.0825, 0.0825]
271
+ - model: abacusai/Llama-3-Smaug-8B
272
+ parameters:
273
+ gamma: 0.01
274
+ density: 0.9
275
+ weight: [0.33, 0.0825, 0.0825, 0.0825, 0.0825]
276
+ merge_method: breadcrumbs_ties
277
+ base_model: NousResearch/Meta-Llama-3-8B-Instruct
278
+ parameters:
279
+ normalize: false
280
+ int8_mask: true
281
+ dtype: bfloat16
282
+ ```
283
+
284
+ ### Eggs-and-Bread-IQ
285
+
286
+ ```yaml
287
+ models:
288
+ - model: Casual-Autopsy/Eggs-and-Bread-IQ-pt.1
289
+ - model: Casual-Autopsy/Eggs-and-Bread-IQ-pt.2
290
+ merge_method: slerp
291
+ base_model: Casual-Autopsy/Eggs-and-Bread-IQ-pt.1
292
+ parameters:
293
+ t:
294
+ - filter: self_attn
295
+ value: [0.5, 0.3, 0.7, 0.5, 0.7, 0.3, 0.5, 0.3, 0.7, 0.5, 0.7, 0.3, 0.5]
296
+ - filter: mlp
297
+ value: [0.5, 0.7, 0.3, 0.5, 0.3, 0.7, 0.5, 0.7, 0.3, 0.5, 0.3, 0.7, 0.5]
298
+ - value: 0.5
299
+ dtype: bfloat16
300
+ ```
301
+
302
+ ### Eggs-and-Bread-Uncen-pt.1
303
+
304
+ ```yaml
305
+ models:
306
+ - model: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3
307
+ - model: AwanLLM/Awanllm-Llama-3-8B-Cumulus-v1.0
308
+ parameters:
309
+ density: 0.5
310
+ weight: [0.33, 0.0825, 0.0825, 0.0825, 0.0825]
311
+ - model: lodrick-the-lafted/Limon-8B
312
+ parameters:
313
+ density: 0.5
314
+ weight: [0.0825, 0.33, 0.0825, 0.0825, 0.0825]
315
+ - model: vicgalle/Configurable-Llama-3-8B-v0.3
316
+ parameters:
317
+ density: 0.5
318
+ weight: [0.0825, 0.0825, 0.33, 0.0825, 0.0825]
319
+ - model: Undi95/Llama3-Unholy-8B-OAS
320
+ parameters:
321
+ density: 0.5
322
+ weight: [0.0825, 0.0825, 0.0825, 0.33, 0.0825]
323
+ - model: Undi95/Unholy-8B-DPO-OAS
324
+ parameters:
325
+ density: 0.5
326
+ weight: [0.0825, 0.0825, 0.0825, 0.0825, 0.33]
327
+ merge_method: dare_ties
328
+ base_model: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3
329
+ parameters:
330
+ normalize: false
331
+ int8_mask: true
332
+ dtype: bfloat16
333
+ ```
334
+
335
+ ### Eggs-and-Bread-Uncen-pt.2
336
+
337
+ ```yaml
338
+ models:
339
+ - model: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3
340
+ - model: AwanLLM/Awanllm-Llama-3-8B-Cumulus-v1.0
341
+ parameters:
342
+ gamma: 0.01
343
+ density: 0.9
344
+ weight: [0.0825, 0.0825, 0.0825, 0.0825, 0.33]
345
+ - model: lodrick-the-lafted/Limon-8B
346
+ parameters:
347
+ gamma: 0.01
348
+ density: 0.9
349
+ weight: [0.0825, 0.0825, 0.0825, 0.33, 0.0825]
350
+ - model: vicgalle/Configurable-Llama-3-8B-v0.3
351
+ parameters:
352
+ gamma: 0.01
353
+ density: 0.9
354
+ weight: [0.0825, 0.0825, 0.33, 0.0825, 0.0825]
355
+ - model: Undi95/Llama3-Unholy-8B-OAS
356
+ parameters:
357
+ gamma: 0.01
358
+ density: 0.9
359
+ weight: [0.0825, 0.33, 0.0825, 0.0825, 0.0825]
360
+ - model: Undi95/Unholy-8B-DPO-OAS
361
+ parameters:
362
+ gamma: 0.01
363
+ density: 0.9
364
+ weight: [0.33, 0.0825, 0.0825, 0.0825, 0.0825]
365
+ merge_method: breadcrumbs_ties
366
+ base_model: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3
367
+ parameters:
368
+ normalize: false
369
+ int8_mask: true
370
+ dtype: bfloat16
371
+ ```
372
+
373
+ ### Eggs-and-Bread-Uncen
374
+
375
+ ```yaml
376
+ models:
377
+ - model: Casual-Autopsy/Eggs-and-Bread-Uncen-pt.1
378
+ - model: Casual-Autopsy/Eggs-and-Bread-Uncen-pt.2
379
+ merge_method: slerp
380
+ base_model: Casual-Autopsy/Eggs-and-Bread-Uncen-pt.1
381
+ parameters:
382
+ t:
383
+ - filter: self_attn
384
+ value: [0.5, 0.3, 0.7, 0.5, 0.7, 0.3, 0.5, 0.3, 0.7, 0.5, 0.7, 0.3, 0.5]
385
+ - filter: mlp
386
+ value: [0.5, 0.7, 0.3, 0.5, 0.3, 0.7, 0.5, 0.7, 0.3, 0.5, 0.3, 0.7, 0.5]
387
+ - value: 0.5
388
+ dtype: bfloat16
389
+ ```
390
+
391
+ ### Scrambled-Eggs-On-Toast-1
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+
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+ ```yaml
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+ models:
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+ - model: Casual-Autopsy/Eggs-and-Bread-RP
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+ - model: Casual-Autopsy/Eggs-and-Bread-Uncen
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+ merge_method: slerp
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+ base_model: Casual-Autopsy/Eggs-and-Bread-RP
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+ parameters:
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+ t:
401
+ - value: [0.1, 0.15, 0.2, 0.4, 0.6, 0.4, 0.2, 0.15, 0.1]
402
+ dtype: bfloat16
403
+ ```
404
+
405
+ ### L3-Scrambled-Eggs-On-Toast-8B
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+
407
+ ```yaml
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+ models:
409
+ - model: Casual-Autopsy/Scrambled-Eggs-On-Toast-1
410
+ - model: Casual-Autopsy/Eggs-and-Bread-IQ
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+ merge_method: slerp
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+ base_model: Casual-Autopsy/Scrambled-Eggs-On-Toast-1
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+ parameters:
414
+ t:
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+ - value: [0.7, 0.5, 0.3, 0.25, 0.2, 0.25, 0.3, 0.5, 0.7]
416
+ dtype: bfloat16
417
+ ```