leaderboard-pr-bot's picture
Adding Evaluation Results
54ae5ac verified
|
raw
history blame
4.58 kB
---
license: other
metrics:
- accuracy
base_model: Mihaiii/Pallas-0.5
inference: false
license_name: yi-license
license_link: https://huggingface.co/01-ai/Yi-34B/blob/main/LICENSE
model-index:
- name: Pallas-0.5-frankenmerge
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: AI2 Reasoning Challenge (25-Shot)
type: ai2_arc
config: ARC-Challenge
split: test
args:
num_few_shot: 25
metrics:
- type: acc_norm
value: 61.77
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Mihaiii/Pallas-0.5-frankenmerge
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: HellaSwag (10-Shot)
type: hellaswag
split: validation
args:
num_few_shot: 10
metrics:
- type: acc_norm
value: 80.36
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Mihaiii/Pallas-0.5-frankenmerge
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU (5-Shot)
type: cais/mmlu
config: all
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 67.62
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Mihaiii/Pallas-0.5-frankenmerge
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: TruthfulQA (0-shot)
type: truthful_qa
config: multiple_choice
split: validation
args:
num_few_shot: 0
metrics:
- type: mc2
value: 54.07
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Mihaiii/Pallas-0.5-frankenmerge
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: Winogrande (5-shot)
type: winogrande
config: winogrande_xl
split: validation
args:
num_few_shot: 5
metrics:
- type: acc
value: 77.74
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Mihaiii/Pallas-0.5-frankenmerge
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: GSM8k (5-shot)
type: gsm8k
config: main
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 24.11
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Mihaiii/Pallas-0.5-frankenmerge
name: Open LLM Leaderboard
---
This is a frankenmerge of [Mihaiii/Pallas-0.5](https://huggingface.co/Mihaiii/Pallas-0.5) .
It was done using [mergekit](https://github.com/cg123/mergekit).
It works well with long system prompts.
It isn't generic in a sense that it shouldn't be used for story telling, for example, but only for reasoning and text comprehension.
This model is trained on a private dataset.
# Prompt Format:
```
SYSTEM: <ANY SYSTEM CONTEXT>
USER:
ASSISTANT:
```
Merge config:
```yaml
slices:
- sources:
- model: "Mihaiii/Pallas-0.5"
layer_range: [0, 60]
- sources:
- model: "Mihaiii/Pallas-0.5"
layer_range: [58, 60]
- sources:
- model: "Mihaiii/Pallas-0.5"
layer_range: [55, 56]
merge_method: passthrough
dtype: bfloat16
```
Quants:
[TheBloke/Pallas-0.5-frankenmerge-GGUF](https://huggingface.co/TheBloke/Pallas-0.5-frankenmerge-GGUF)
[TheBloke/Pallas-0.5-frankenmerge-GPTQ](https://huggingface.co/TheBloke/Pallas-0.5-frankenmerge-GPTQ)
[TheBloke/Pallas-0.5-frankenmerge-AWQ](https://huggingface.co/TheBloke/Pallas-0.5-frankenmerge-AWQ)
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Mihaiii__Pallas-0.5-frankenmerge)
| Metric |Value|
|---------------------------------|----:|
|Avg. |60.95|
|AI2 Reasoning Challenge (25-Shot)|61.77|
|HellaSwag (10-Shot) |80.36|
|MMLU (5-Shot) |67.62|
|TruthfulQA (0-shot) |54.07|
|Winogrande (5-shot) |77.74|
|GSM8k (5-shot) |24.11|