File size: 7,401 Bytes
fa10685
cb2b48a
 
 
fa10685
e85f270
 
 
6d3034f
7d3383a
cb2b48a
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
fa10685
e85f270
 
 
 
 
0723fdf
e85f270
 
 
 
 
 
 
 
 
 
20b2d6a
e85f270
b3767a6
 
 
 
e85f270
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
ac11ad8
 
798b7fe
 
 
 
 
 
 
 
 
 
 
cb2b48a
195a19c
 
 
 
 
 
 
 
 
 
cb2b48a
 
 
 
 
 
 
 
 
 
 
 
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
---
language:
- en
- ru
license: llama2
tags:
- merge
- mergekit
- nsfw
- not-for-all-audiences
model-index:
- name: Gembo-v1-70b
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: AI2 Reasoning Challenge (25-Shot)
      type: ai2_arc
      config: ARC-Challenge
      split: test
      args:
        num_few_shot: 25
    metrics:
    - type: acc_norm
      value: 71.25
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChuckMcSneed/Gembo-v1-70b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: HellaSwag (10-Shot)
      type: hellaswag
      split: validation
      args:
        num_few_shot: 10
    metrics:
    - type: acc_norm
      value: 86.98
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChuckMcSneed/Gembo-v1-70b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU (5-Shot)
      type: cais/mmlu
      config: all
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 70.85
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChuckMcSneed/Gembo-v1-70b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: TruthfulQA (0-shot)
      type: truthful_qa
      config: multiple_choice
      split: validation
      args:
        num_few_shot: 0
    metrics:
    - type: mc2
      value: 63.25
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChuckMcSneed/Gembo-v1-70b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: Winogrande (5-shot)
      type: winogrande
      config: winogrande_xl
      split: validation
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 80.51
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChuckMcSneed/Gembo-v1-70b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GSM8k (5-shot)
      type: gsm8k
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 50.19
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChuckMcSneed/Gembo-v1-70b
      name: Open LLM Leaderboard
---
![logo-gembo.png](logo-gembo.png)
This is my first "serious"(with practical use cases) experimental merge. Judge harshly. Mainly made for RP, but should be okay as an assistant. Turned out quite good, considering the amount of LORAs I merged into it.

# Observations
- GPTisms and repetition: put temperature and rep. pen. higher, make GPTisms stop sequences
- A bit different than the ususal stuff; I'd say that it has so much slop in it that it unslops itself
- Lightly censored
- Fairly neutral, can be violent if you ask it really good, Goliath is a bit better at it
- Has a bit of optimism baked in, but it's not very severe
- Doesn't know when to stop, can be quite verbose or just stop almost immediately(maybe wants to use LimaRP settings idk)
- Sometimes can't handle '
- Second model that tried to be funny unprompted to me(First one was Goliath)
- Moderately intelligent
- Quite creative

# Naming
Internal name of this model was euryale-guano-saiga-med-janboros-kim-lima-wiz-tony-d30-s40, but I decided to keep it short, and since it was iteration G in my files, I called it "Gembo".

# Quants
Thanks for GGUF quants, [@Artefact2](https://huggingface.co/Artefact2)!
- [GGUF](https://huggingface.co/Artefact2/Gembo-v1-70b-GGUF)

# Prompt format
Alpaca. You can also try some other formats, I'm pretty sure it has a lot of them from all those merges.
```
### Instruction:
{instruction}

### Response:
```

# Settings
As I already mentioned, high temperature and rep.pen. works great.
For RP try something like this:
- temperature=5
- MinP=0.10
- rep.pen.=1.15

Adjust to match your needs.


# How it was created
I took Sao10K/Euryale-1.3-L2-70B (Good base model) and added
- Mikael110/llama-2-70b-guanaco-qlora (Creativity+assistant)
- IlyaGusev/saiga2_70b_lora (Creativity+assistant)
- s1ghhh/medllama-2-70b-qlora-1.1 (More data)
- v2ray/Airoboros-2.1-Jannie-70B-QLoRA (Creativity+assistant)
- Chat-Error/fiction.live-Kimiko-V2-70B (Creativity)
- Doctor-Shotgun/limarpv3-llama2-70b-qlora (Creativity)
- v2ray/LLaMA-2-Wizard-70B-QLoRA (Creativity+assistant)
- v2ray/TonyGPT-70B-QLoRA (Special spice)

Then I SLERP-merged it with cognitivecomputations/dolphin-2.2-70b (Needed to bridge the gap between this wonderful mess and Smaxxxer, otherwise it's quality is low) with 0.3t and then SLERP-merged it again with ChuckMcSneed/SMaxxxer-v1-70b (Creativity) with 0.4t. For SLERP-merges I used https://github.com/arcee-ai/mergekit.

# Benchmarks (Do they even mean anything anymore?)
### NeoEvalPlusN_benchmark
[My meme benchmark.](https://huggingface.co/datasets/ChuckMcSneed/NeoEvalPlusN_benchmark)
| Test name  | Gembo |
| ---------- | ---------- |
| B | 2.5 | 
| C | 1.5 | 
| D | 3 | 
| S | 7.5 | 
| P | 5.25 | 
| Total | 19.75 |

Absurdly high. That's what happens when you optimize the merges for a benchmark.


### WolframRavenwolf
Benchmark by [@wolfram](https://huggingface.co/wolfram)

Artefact2/Gembo-v1-70b-GGUF GGUF Q5_K_M, 4K context, Alpaca format:
- ✅ Gave correct answers to all 18/18 multiple choice questions! Just the questions, no previous information, gave correct answers: 16/18
- ✅ Consistently acknowledged all data input with "OK".
- ➖ Did NOT follow instructions to answer with just a single letter or more than just a single letter.

This shows that this model can be used for real world use cases as an assistant.

### [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
[Leaderboard on Huggingface](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
|Model                           |Average|ARC  |HellaSwag|MMLU |TruthfulQA|Winogrande|GSM8K|
|--------------------------------|-------|-----|---------|-----|----------|----------|-----|
|ChuckMcSneed/Gembo-v1-70b       |70.51  |71.25|86.98    |70.85|63.25     |80.51     |50.19|
|ChuckMcSneed/SMaxxxer-v1-70b    |72.23  |70.65|88.02    |70.55|60.7      |82.87     |60.58|

Looks like adding a shitton of RP stuff decreased HellaSwag, WinoGrande and GSM8K, but increased TruthfulQA, MMLU and ARC. Interesting. To be hosnest, I'm a bit surprised that it didn't do that much worse.

Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_ChuckMcSneed__Gembo-v1-70b)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |70.51|
|AI2 Reasoning Challenge (25-Shot)|71.25|
|HellaSwag (10-Shot)              |86.98|
|MMLU (5-Shot)                    |70.85|
|TruthfulQA (0-shot)              |63.25|
|Winogrande (5-shot)              |80.51|
|GSM8k (5-shot)                   |50.19|