File size: 6,987 Bytes
fa1b96d 4889256 fa1b96d d0bc86c fa1b96d 4889256 fa1b96d |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 |
---
base_model:
- Sao10K/L3-8B-Niitama-v1
- OEvortex/Emotional-llama-8B
- ArliAI/ArliAI-Llama-3-8B-Formax-v1.0
- nothingiisreal/L3-8B-Celeste-V1.2
- ResplendentAI/Nymph_8B
- TheDrummer/Llama-3SOME-8B-v2
- nothingiisreal/L3-8B-Instruct-Abliterated-DWP
library_name: transformers
tags:
- mergekit
- merge
- not-for-all-audiences
---
God this sucked to make, I'm getting burnout with this fucker so I'm releasing what I have as a partial update. I'll be focusing on L3.1 for the time being and taking a break from
this project for a bit. What's done is... fine, I'm not super happy about it but it's objectively better then v0.1.
### Quants
[GGUFs](https://huggingface.co/mradermacher/L3-Horizon-Anteros-v0.1.5-13B-GGUF) by [mradermacher](https://huggingface.co/mradermacher)
[GGUFs](https://huggingface.co/backyardai/L3-Horizon-Anteros-v0.1.5-13B-GGUF) by [BackyardAI](https://huggingface.co/backyardai)
### Details & Recommended Settings
(Still testing; subject to change)
Very experimental, expect bugs. Thrives at more story heavy and narrative RP yet still excels with the basics like usual. Way more horny this time, no idea why. Slightly worse instruct following compared to
v0.1. Really needs examples to fuction, otherwise it'll spit out garble easily. I tried to also curb l3's tendency to double line (leaving a space between paragraphs) to mild
success. Calmer writing style.
Has a certain tendency to speak for the {user}, but that's easily negated with a few instructs.
Rec. Settings:
```
Template: Plain Text or L3
Temperature: 1.3
Min P: 0.1
Repeat Penalty: 1.05
Repeat Penalty Tokens: 256
```
### Models Merged & Merge Theory
The following models were included in the merge:
* [ResplendentAI/Nymph_8B](https://huggingface.co/ResplendentAI/Nymph_8B)
* [TheDrummer/Llama-3SOME-8B-v2](https://huggingface.co/TheDrummer/Llama-3SOME-8B-v2)
* [nothingiisreal/L3-8B-Instruct-Abliterated-DWP](https://huggingface.co/nothingiisreal/L3-8B-Instruct-Abliterated-DWP)
* [Sao10K/L3-8B-Niitama-v1](https://huggingface.co/Sao10K/L3-8B-Niitama-v1)
* [OEvortex/Emotional-llama-8B](https://huggingface.co/OEvortex/Emotional-llama-8B)
* [ArliAI/ArliAI-Llama-3-8B-Formax-v1.0](https://huggingface.co/ArliAI/ArliAI-Llama-3-8B-Formax-v1.0)
* [nothingiisreal/L3-8B-Celeste-V1.2](https://huggingface.co/nothingiisreal/L3-8B-Celeste-V1.2)
can't be asked rn
### Config
```yaml
slices:
- sources:
- layer_range: [0, 6] #6
model: ArliAI/ArliAI-Llama-3-8B-Formax-v1.0
- sources:
- layer_range: [4, 8] #10
model: nothingiisreal/L3-8B-Celeste-V1
parameters:
scale:
- filter: q_proj
value: [1, 0.89]
- sources:
- layer_range: [8, 12] #14
model: nothingiisreal/L3-8B-Instruct-Abliterated-DWP
parameters:
scale:
- filter: k_proj
value: [0.89, 1]
- sources:
- layer_range: [6, 12] #20
model: ArliAI/ArliAI-Llama-3-8B-Formax-v1.0
- sources:
- layer_range: [10, 14] #24
model: nothingiisreal/L3-8B-Celeste-V1
- sources:
- layer_range: [12, 16] #28
model: ArliAI/ArliAI-Llama-3-8B-Formax-v1.0
- sources:
- layer_range: [14, 28] #42
model: nothingiisreal/L3-8B-Instruct-Abliterated-DWP
- sources:
- layer_range: [21, 31] #52
model: nothingiisreal/L3-8B-Celeste-V1
- sources:
- layer_range: [28, 32] #56
model: nothingiisreal/L3-8B-Instruct-Abliterated-DWP
parameters:
int8_mask: true
merge_method: passthrough
dtype: float32
out_dtype: bfloat16
name: anterosv2.b
---
slices:
- sources:
- layer_range: [0, 4] #4
model: ResplendentAI/Nymph_8B
- sources:
- layer_range: [2, 10] #12
model: Sao10K/L3-8B-Niitama-v1
- sources:
- layer_range: [8, 12] #16
model: TheDrummer/Llama-3SOME-8B-v2
- sources:
- layer_range: [10, 16] #22
model: Sao10K/L3-8B-Niitama-v1
- sources:
- layer_range: [12, 20] #30
model: ResplendentAI/Nymph_8B
- sources:
- layer_range: [14, 18] #34
model: OEvortex/Emotional-llama-8B
- sources:
- layer_range: [16, 20] #38
model: ResplendentAI/Nymph_8B
- sources:
- layer_range: [18, 22] #42
model: OEvortex/Emotional-llama-8B
- sources:
- layer_range: [20, 24] #46
model: TheDrummer/Llama-3SOME-8B-v2
- sources:
- layer_range: [23, 31] #54
model: ResplendentAI/Nymph_8B
- sources:
- layer_range: [30, 32] #56
model: Sao10K/L3-8B-Niitama-v1
parameters:
int8_mask: true
merge_method: passthrough
dtype: float32
out_dtype: bfloat16
name: anterosv2.c
---
slices:
- sources:
- layer_range: [2, 17]
model: anterosv2.b
parameters:
int8_mask: true
merge_method: passthrough
dtype: float32
out_dtype: bfloat16
name: 2-17av2b.sl
---
slices:
- sources:
- layer_range: [2, 17]
model: anterosv2.c
parameters:
int8_mask: true
merge_method: passthrough
dtype: float32
out_dtype: bfloat16
name: 2-17av2c.sl
---
models:
- model: 2-17av2c.sl
parameters:
weight: [0.1, 0.5, 0.3]
- model: 2-17av2b.sl
parameters:
weight: [0.9, 0.5, 0.7]
merge_method: dare_linear
base_model: 2-17av2b.sl
parameters:
normalize: false
int8_mask: true
dtype: float32
out_dtype: bfloat16
name: 2-17aav2.sl
---
slices:
- sources:
- layer_range: [17, 42]
model: anterosv2.b
parameters:
int8_mask: true
merge_method: passthrough
dtype: float32
out_dtype: bfloat16
name: 17-42av2b.sl
---
slices:
- sources:
- layer_range: [17, 42]
model: anterosv2.c
parameters:
int8_mask: true
merge_method: passthrough
dtype: float32
out_dtype: bfloat16
name: 17-42av2c.sl
---
models:
- model: 17-42av2b.sl
parameters:
weight: [0.8, 0.5, 0.4, 0.3, 0.15]
density: 0.65
epsilon: 0.07
lambda: 0.12
- model: 17-42av2c.sl
parameters:
weight: [0.2, 0.5, 0.6, 0.7, 0.85]
density: 0.7
epsilon: 0.05
lambda: 0.1
merge_method: della
base_model: 17-42av2c.sl
parameters:
normalize: false
int8_mask: true
dtype: float32
out_dtype: bfloat16
name: 17-42aav2.sl
---
slices:
- sources:
- layer_range: [42, 52]
model: anterosv2.b
parameters:
int8_mask: true
merge_method: passthrough
dtype: float32
out_dtype: bfloat16
name: 42-52av2b.sl
---
slices:
- sources:
- layer_range: [42, 52]
model: anterosv2.c
parameters:
int8_mask: true
merge_method: passthrough
dtype: float32
out_dtype: bfloat16
name: 42-52av2c.sl
---
models:
- model: 42-52av2c.sl
parameters:
weight: [0.9, 0.65, 0.9]
- model: 42-52av2b.sl
parameters:
weight: [0.1, 0.35, 0.1]
merge_method: dare_linear
base_model: 42-52av2c.sl
parameters:
normalize: false
int8_mask: true
dtype: float32
out_dtype: bfloat16
name: 42-52aav2.sl
---
slices:
- sources:
- layer_range: [0, 2]
model: anterosv2.b
- sources:
- layer_range: [0, 15]
model: 2-17aav2.sl
- sources:
- layer_range: [0, 25]
model: 17-42aav2.sl
- sources:
- layer_range: [0, 10]
model: 42-52aav2.sl
- sources:
- layer_range: [52, 56]
model: anterosv2.c
parameters:
int8_mask: true
merge_method: passthrough
dtype: float32
out_dtype: bfloat16
name: anterosv0.1.5
``` |