README.md

---
language:
- en
- ru
license: llama2
tags:
- merge
- mergekit
- nsfw
- not-for-all-audiences
model-index:
- name: Gembo-v1.1-70b
  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: 70.99
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChuckMcSneed/Gembo-v1.1-70b
      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: 86.9
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChuckMcSneed/Gembo-v1.1-70b
      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: 70.63
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChuckMcSneed/Gembo-v1.1-70b
      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: 62.45
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChuckMcSneed/Gembo-v1.1-70b
      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-v1.1-70b
      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: 50.64
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChuckMcSneed/Gembo-v1.1-70b
      name: Open LLM Leaderboard
---
![logo-gembo-1.1.png](logo-gembo-1.1.png)
This is like [Gembo v1](https://huggingface.co/ChuckMcSneed/Gembo-v1-70b), but with 6-7% more human data. Does perform a bit worse on the benches(who cares? I do.), but should be able to write in more diverse styles(See [waxwing-styles.txt](waxwing-styles.txt), tested it with v1, v1 does it better.). 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, maybe a tiny bit more than in v1?
- Don't put too many style tags, here less is better
- Unlike v1, 1.1 knows a bit better when to stop
- Needs more wrangling than v1, but once you get it going it's good
- Sometimes can't handle '
- Moderately intelligent
- Quite creative

# Worth over v1?
Nah. I prefer hyperslop over this "humanized" one. Maybe I've been poisoned by slop.

# Naming
Internal name of this model was euryale-guano-saiga-med-janboros-kim-wing-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".

# 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)
- alac/Waxwing-Storytelling-70B-LoRA (New, 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 | Gembo 1.1 |
| ---------- | ---------- | ---------- |
| B | 2.5 |  2.5 |
| C | 1.5 |  1.5 | 
| D | 3 |  3 | 
| S | 7.5 | 6.75 | 
| P | 5.25 | 5.25 | 
| Total | 19.75 | 19 |

### [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|
|--------------|-------|-----|---------|-----|----------|----------|-----|
|Gembo-v1-70b  |70.51  |71.25|86.98    |70.85|63.25     |80.51     |50.19|
|Gembo-v1.1-70b|70.35  |70.99|86.9     |70.63|62.45     |80.51     |50.64|


Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_ChuckMcSneed__Gembo-v1.1-70b)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |70.35|
|AI2 Reasoning Challenge (25-Shot)|70.99|
|HellaSwag (10-Shot)              |86.90|
|MMLU (5-Shot)                    |70.63|
|TruthfulQA (0-shot)              |62.45|
|Winogrande (5-shot)              |80.51|
|GSM8k (5-shot)                   |50.64|