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---
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.
# [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|
|