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---
language:
- en
license: apache-2.0
library_name: transformers
base_model: cpayne1303/cp2024
datasets:
- teknium/OpenHermes-2.5
model-index:
- name: cp2024-instruct
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: 17.06
name: strict accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=cpayne1303/cp2024-instruct
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: 2.48
name: normalized accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=cpayne1303/cp2024-instruct
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: 0.0
name: exact match
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=cpayne1303/cp2024-instruct
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: 1.34
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=cpayne1303/cp2024-instruct
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: 3.18
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=cpayne1303/cp2024-instruct
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: 1.85
name: accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=cpayne1303/cp2024-instruct
name: Open LLM Leaderboard
---
## Model Description
This is a model using the llama2 architecture and only 30 million parameters. It is based off of <a href = "https://huggingface.co/cpayne1303/cp2024">this model</a> and was finetuned on approximately 85 million tokens of instruct data from the first 20000 rows of the openhermes 2.5 dataset with a low learning rate of 2e-6 and context length of 512.
# [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_cpayne1303__cp2024-instruct)
| Metric |Value|
|-------------------|----:|
|Avg. | 4.32|
|IFEval (0-Shot) |17.06|
|BBH (3-Shot) | 2.48|
|MATH Lvl 5 (4-Shot)| 0.00|
|GPQA (0-shot) | 1.34|
|MuSR (0-shot) | 3.18|
|MMLU-PRO (5-shot) | 1.85|
|