miscii-14b-0218 / README.md
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---
language:
- en
- zh
license: apache-2.0
library_name: transformers
tags:
- mergekit
- merge
base_model:
- sthenno-com/miscii-14b-1225
- sthenno/tempesthenno-ppo-ckpt40
metrics:
- accuracy
model-index:
- name: miscii-14b-0218
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: 76.56
name: strict accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno-com/miscii-14b-0218
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: 50.64
name: normalized accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno-com/miscii-14b-0218
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: 51.44
name: exact match
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno-com/miscii-14b-0218
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: 17.79
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno-com/miscii-14b-0218
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: 13.21
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno-com/miscii-14b-0218
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: 47.75
name: accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno-com/miscii-14b-0218
name: Open LLM Leaderboard
---
# miscii-14b-0218
![](banner.png)
Image source: [The Angel’s Message](http://lastlabyrinth.net/agm/)
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [Model Stock](https://arxiv.org/abs/2403.19522) merge method using /Users/sthenno/models/tempesthenno-ppo-enchanted as a base.
### Models Merged
The following models were included in the merge:
* /Users/sthenno/models/tempesthenno-sft-0218-stage2-ckpt40
* /Users/sthenno/models/tempesthenno-sft-0218-stage2-ckpt50
* /Users/sthenno/models/tempesthenno-sft-0218-stage2-ckpt60
* /Users/sthenno/models/tempesthenno-sft-0218-ckpt60
* /Users/sthenno/models/tempesthenno-sft-0218-ckpt80
### Configuration
The following YAML configuration was used to produce this model:
```yaml
name: tempesthenno-ms-0218
merge_method: model_stock
base_model: /Users/sthenno/models/tempesthenno-ppo-enchanted
tokenizer:
source: base
dtype: float32
out_dtype: bfloat16
parameters:
int8_mask: true
normalize: true
rescale: false
models:
- model: /Users/sthenno/models/tempesthenno-sft-0218-ckpt60
- model: /Users/sthenno/models/tempesthenno-sft-0218-ckpt80
- model: /Users/sthenno/models/tempesthenno-sft-0218-stage2-ckpt40
- model: /Users/sthenno/models/tempesthenno-sft-0218-stage2-ckpt50
- model: /Users/sthenno/models/tempesthenno-sft-0218-stage2-ckpt60
```
# [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/sthenno-com__miscii-14b-0218-details)
| Metric |Value|
|-------------------|----:|
|Avg. |42.90|
|IFEval (0-Shot) |76.56|
|BBH (3-Shot) |50.64|
|MATH Lvl 5 (4-Shot)|51.44|
|GPQA (0-shot) |17.79|
|MuSR (0-shot) |13.21|
|MMLU-PRO (5-shot) |47.75|