README.md

---
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|