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---
language:
- en
- zh
license: apache-2.0
library_name: transformers
tags:
- mergekit
- merge
- custom-research
base_model:
- sthenno-com/miscii-14b-1028
metrics:
- accuracy
model-index:
- name: miscii-14b-1225
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: 78.78
name: strict accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno-com/miscii-14b-1225
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: 50.91
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno-com/miscii-14b-1225
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: 31.57
name: exact match
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno-com/miscii-14b-1225
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
name: acc_norm
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno-com/miscii-14b-1225
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: 14.77
name: acc_norm
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno-com/miscii-14b-1225
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: 47.46
name: accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno-com/miscii-14b-1225
name: Open LLM Leaderboard
---
# miscii-14b-1225
Image source: [Rrhar'il | Phigros](https://phigros.fandom.com/wiki/Rrhar%27il)
## Prompting & Usage
See [miscii-14b-1028](https://huggingface.co/sthenno-com/miscii-14b-1028) for more details.
## Training Details
Coming soon
## Merge Details
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
### Merge Method
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [miscii-14b-1028](https://huggingface.co/sthenno-com/miscii-14b-1028) as a base.
### Models Merged
The following models were included in the merge:
- sthenno/exp-002
- sthenno/miscii-1218
### Configuration
The following YAML configuration was used to produce this model:
```yaml
tokenizer_source: "base"
chat_template: "chatml"
merge_method: ties
dtype: bfloat16
parameters:
normalize: true
base_model: sthenno-com/miscii-14b-1028
models:
- model: sthenno-com/miscii-14b-1028
parameters:
weight: 1
density: 0.5
- model: sthenno/miscii-1218
parameters:
weight: 1
density: 0.5
- model: sthenno/exp-002
parameters:
weight: 0.9
density: 0.5
- model: sthenno/miscii-1218
parameters:
weight: 0.6
density: 0.5
```
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
Congratulations to the **miscii** series models for surpassing 40 points for the first time!
As of **December 25, 2024**, this should be the **best-performing 14B model** in the tests, right?
| Metric |Value|
|-------------------|----:|
|Avg. |40.08|
|IFEval (0-Shot) |78.78|
|BBH (3-Shot) |50.91|
|MATH Lvl 5 (4-Shot)|31.57|
|GPQA (0-shot) |17.00|
|MuSR (0-shot) |14.77|
|MMLU-PRO (5-shot) |47.46| |