File size: 9,920 Bytes

---
license: apache-2.0
library_name: transformers
tags:
- merge
base_model:
- 01-ai/Yi-1.5-34B-Chat
- 01-ai/Yi-1.5-34B
pipeline_tag: text-generation
model-index:
- name: YiSM-34B-0rn
  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: 69.54
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=altomek/YiSM-34B-0rn
      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: 86.67
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=altomek/YiSM-34B-0rn
      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: 78.51
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=altomek/YiSM-34B-0rn
      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: 59.68
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=altomek/YiSM-34B-0rn
      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: 83.66
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=altomek/YiSM-34B-0rn
      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: 75.82
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=altomek/YiSM-34B-0rn
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: IFEval (0-Shot)
      type: HuggingFaceH4/ifeval
      args:
        num_few_shot: 0
    metrics:
    - type: inst_level_strict_acc and prompt_level_strict_acc
      value: 42.84
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=altomek/YiSM-34B-0rn
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: BBH (3-Shot)
      type: BBH
      args:
        num_few_shot: 3
    metrics:
    - type: acc_norm
      value: 45.38
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=altomek/YiSM-34B-0rn
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MATH Lvl 5 (4-Shot)
      type: hendrycks/competition_math
      args:
        num_few_shot: 4
    metrics:
    - type: exact_match
      value: 20.62
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=altomek/YiSM-34B-0rn
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GPQA (0-shot)
      type: Idavidrein/gpqa
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 16.22
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=altomek/YiSM-34B-0rn
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MuSR (0-shot)
      type: TAUR-Lab/MuSR
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 14.76
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=altomek/YiSM-34B-0rn
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU-PRO (5-shot)
      type: TIGER-Lab/MMLU-Pro
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 41.06
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=altomek/YiSM-34B-0rn
      name: Open LLM Leaderboard
---

#
<img src=https://huggingface.co/altomek/YiSM-34B-0rn/resolve/main/YiSM.png>
<a href="https://www.youtube.com/watch?v=a9dNpk9G5h0" title="P.T. Adamczyk - Never Looking Back | Cyberpunk 2077: Phantom Liberty (Original Score)" target="_blank">intro music...</a>


## YiSM-34B-0rn

This is Yi Self Merged. I wanted model that will follow most instuctions yet preserve its base model nature.


### Ingridients

 - [Yi-1.5-34B-Chat](https://huggingface.co/01-ai/Yi-1.5-34B-Chat)

 - [Yi-1.5-34B](https://huggingface.co/01-ai/Yi-1.5-34B-Chat/)


### Settings

I use max_seq_len 8K with alpha_value 2.65.

SillyTavern presets:

```json
{
    "temp": 0.1,
    "temperature_last": true,
    "top_p": 1,
    "top_k": 0,
    "top_a": 0,
    "tfs": 1,
    "epsilon_cutoff": 0,
    "eta_cutoff": 0,
    "typical_p": 1,
    "min_p": 0,
    "rep_pen": 1.08,
    "rep_pen_range": 0,
    "no_repeat_ngram_size": 0,
    "penalty_alpha": 0,
    "num_beams": 1,
    "length_penalty": 1,
    "min_length": 0,
    "encoder_rep_pen": 1,
    "freq_pen": 0.01,
    "presence_pen": 0,
    "do_sample": true,
    "early_stopping": false,
    "add_bos_token": true,
    "truncation_length": 2048,
    "ban_eos_token": false,
    "skip_special_tokens": true,
    "streaming": true,
    "mirostat_mode": 0,
    "mirostat_tau": 5,
    "mirostat_eta": 0.1,
    "guidance_scale": 1,
    "negative_prompt": "",
    "grammar_string": "",
    "banned_tokens": "",
    "ignore_eos_token_aphrodite": false,
    "spaces_between_special_tokens_aphrodite": true,
    "sampler_order": [
        6,
        0,
        1,
        3,
        4,
        2,
        5
    ],
    "logit_bias": [],
    "n": 1,
    "rep_pen_size": 0,
    "genamt": 2048,
    "max_length": 8192
}
```


### Terms and Conditions of Use

The following table outlines the primary characteristics and intended uses of my YiSM-34B-0rn models:

| Model Type | Purpose | Target Users | Key Features |
| --- | --- | --- | --- |
| **Censored** | Suitable for general audiences and sensitive topics | Educational institutions, families, and individuals seeking age-appropriate content | Restricts explicit or mature material |
| **Neutral** (<u>**this one</u>) | Balances accessibility with openness | Universities, researchers, and curious minds | Encourages exploration and intellectual exchange |
| Uncensored | Ideal for adults and specialized fields | Professionals, experts, and advanced scholars | Offers unfiltered access to diverse viewpoints and knowledge |

Please remember that all YiSM-34B-0rn models operate under the apache-2.0 license, so familiarize yourself with its terms and conditions before employing their content.


### Quants

- [GGUF](https://huggingface.co/altomek/YiSM-34B-0rn-GGUF)
- [8bpw](https://huggingface.co/altomek/YiSM-34B-0rn-8bpw-EXL2)
- [6.5bpw](https://huggingface.co/altomek/YiSM-34B-0rn-6.5bpw-EXL2)
- [4.65bpw](https://huggingface.co/altomek/YiSM-34B-0rn-4.65bpw-EXL2)
- [4bpw](https://huggingface.co/altomek/YiSM-34B-0rn-4bpw-EXL2)
- [3.2bpw](https://huggingface.co/altomek/YiSM-34B-0rn-3.2bpw-EXL2) -> Fits in 16GB VRAM but not recomended. Performance is significantly degraded in lower quants.
- [measurements](https://huggingface.co/altomek/measurements/resolve/main/YiSM-34B-0rn_measurement.json) --> ExLlamav2 measurments


### [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_altomek__YiSM-34B-0rn)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |75.65|
|AI2 Reasoning Challenge (25-Shot)|69.54|
|HellaSwag (10-Shot)              |86.67|
|MMLU (5-Shot)                    |78.51|
|TruthfulQA (0-shot)              |59.68|
|Winogrande (5-shot)              |83.66|
|GSM8k (5-shot)                   |75.82|

5th in 34B size range excluding "Private or deleted" or 8th with all models included as of 2024-06-10 ;P
<img src=https://huggingface.co/altomek/YiSM-34B-0rn/resolve/main/5thIn34B.png>


### [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_altomek__YiSM-34B-0rn)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |30.15|
|IFEval (0-Shot)    |42.84|
|BBH (3-Shot)       |45.38|
|MATH Lvl 5 (4-Shot)|20.62|
|GPQA (0-shot)      |16.22|
|MuSR (0-shot)      |14.76|
|MMLU-PRO (5-shot)  |41.06|