---
language:
- zh
- en
license: apache-2.0
library_name: transformers
tags:
- llm
- long context
- yi
- chat
- it
- abliterated
base_model: 01-ai/Yi-1.5-9B-Chat
pipeline_tag: text-generation
model-index:
- name: Yi-1.5-9B-Chat-abliterated
  results:
  - 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: 57.23
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=byroneverson/Yi-1.5-9B-Chat-abliterated
      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: 34.35
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=byroneverson/Yi-1.5-9B-Chat-abliterated
      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: 9.82
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=byroneverson/Yi-1.5-9B-Chat-abliterated
      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: 5.59
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=byroneverson/Yi-1.5-9B-Chat-abliterated
      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: 13.66
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=byroneverson/Yi-1.5-9B-Chat-abliterated
      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: 30.17
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=byroneverson/Yi-1.5-9B-Chat-abliterated
      name: Open LLM Leaderboard
---



# Yi-1.5-9B-Chat-abliterated

Check out the <a href="https://huggingface.co/byroneverson/Yi-1.5-9B-Chat-abliterated/blob/main/abliterate-yi-1-5-9b-chat.ipynb">jupyter notebook</a> for details of how this model was abliterated from Yi-1.5-9B-Chat.

![Logo](https://huggingface.co/byroneverson/Yi-1.5-9B-Chat-abliterated/resolve/main/logo.png "Logo")
# [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_byroneverson__Yi-1.5-9B-Chat-abliterated)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |25.14|
|IFEval (0-Shot)    |57.23|
|BBH (3-Shot)       |34.35|
|MATH Lvl 5 (4-Shot)| 9.82|
|GPQA (0-shot)      | 5.59|
|MuSR (0-shot)      |13.66|
|MMLU-PRO (5-shot)  |30.17|