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---
license: cc-by-nc-4.0
tags:
- merge
- mergekit
base_model:
- seyf1elislam/WestKunai-Hermes-7b
model-index:
- name: WestKunai-Hermes-10.7b-test
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: 68.09
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=seyf1elislam/WestKunai-Hermes-10.7b-test
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: 87.10
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=seyf1elislam/WestKunai-Hermes-10.7b-test
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: 64.43
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=seyf1elislam/WestKunai-Hermes-10.7b-test
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: 64.28
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=seyf1elislam/WestKunai-Hermes-10.7b-test
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: 82.72
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=seyf1elislam/WestKunai-Hermes-10.7b-test
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: 51.86
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=seyf1elislam/WestKunai-Hermes-7b
name: Open LLM Leaderboard
---
# WestKunai-Hermes-10.7b-test
Replicate the configuration utilized in the [froggeric/WestLake-10.7B-v2](https://huggingface.co/froggeric/WestLake-10.7B-v2/) model to extend the [WestKunai-Hermes-7b](https://huggingface.co/seyf1elislam/WestKunai-Hermes-7b) model to 10.7b.
# Quantized versions :
- [**GGUF**](https://huggingface.co/seyf1elislam/WestKunai-Hermes-10.7b-test-GGUF)
# comparison
| Metric | diff |Current(10.7b)|Origin(7b)|
|---------------------------------|----:|----:|----:|
|Avg. |<span style="color:red">-3.76</span>|69.75|73.51|
|AI2 Reasoning Challenge (25-Shot)|<span style="color:red">-3.07</span>|68.09|71.16|
|HellaSwag (10-Shot) |<span style="color:red">-0.66</span>|87.10|87.76|
|MMLU (5-Shot) |<span style="color:red">-0.34</span>|64.43|64.77|
|TruthfulQA (0-shot) |<span style="color:red">-0.97</span>|64.28|65.25|
|Winogrande (5-shot) |<span style="color:red">-0.31</span>|82.72|83.03|
|GSM8k (5-shot) |<span style="color:red">-17.21</span>|51.86|69.07|
## Merge Details
### Models Merged
The following models were included in the merge:
* [seyf1elislam/WestKunai-Hermes-7b](https://huggingface.co/seyf1elislam/WestKunai-Hermes-7b)
## Configuration
The following YAML configuration was used to produce this model:
```yaml
slices:
- sources:
- model: seyf1elislam/WestKunai-Hermes-7b
layer_range: [0,9]
- sources:
- model: seyf1elislam/WestKunai-Hermes-7b
layer_range: [5,14]
- sources:
- model: seyf1elislam/WestKunai-Hermes-7b
layer_range: [10,19]
- sources:
- model: seyf1elislam/WestKunai-Hermes-7b
layer_range: [15,24]
- sources:
- model: seyf1elislam/WestKunai-Hermes-7b
layer_range: [20,32]
merge_method: passthrough
dtype: bfloat16
```
## Usage Example
```python
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "seyf1elislam/WestKunai-Hermes-10.7b-test"
messages = [{"role": "user", "content": "What is a large language model?"}]
tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
pipeline = transformers.pipeline(
"text-generation",
model=model,
torch_dtype=torch.float16,
device_map="auto",
)
outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])
```
# [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_seyf1elislam__WestKunai-Hermes-10.7b-test)
| Metric |Value|
|---------------------------------|----:|
|Avg. |69.75|
|AI2 Reasoning Challenge (25-Shot)|68.09|
|HellaSwag (10-Shot) |87.10|
|MMLU (5-Shot) |64.43|
|TruthfulQA (0-shot) |64.28|
|Winogrande (5-shot) |82.72|
|GSM8k (5-shot) |51.86|
|