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Model: seyf1elislam/WestKunai-Hermes-10.7b-test Source: Original Platform
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README.md
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README.md
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---
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license: cc-by-nc-4.0
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tags:
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- merge
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- mergekit
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base_model:
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- seyf1elislam/WestKunai-Hermes-7b
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model-index:
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- name: WestKunai-Hermes-10.7b-test
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results:
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: AI2 Reasoning Challenge (25-Shot)
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type: ai2_arc
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config: ARC-Challenge
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split: test
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args:
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num_few_shot: 25
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metrics:
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- type: acc_norm
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value: 68.09
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=seyf1elislam/WestKunai-Hermes-10.7b-test
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: HellaSwag (10-Shot)
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type: hellaswag
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split: validation
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args:
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num_few_shot: 10
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metrics:
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- type: acc_norm
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value: 87.10
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=seyf1elislam/WestKunai-Hermes-10.7b-test
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MMLU (5-Shot)
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type: cais/mmlu
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config: all
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 64.43
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=seyf1elislam/WestKunai-Hermes-10.7b-test
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: TruthfulQA (0-shot)
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type: truthful_qa
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config: multiple_choice
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split: validation
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args:
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num_few_shot: 0
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metrics:
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- type: mc2
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value: 64.28
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=seyf1elislam/WestKunai-Hermes-10.7b-test
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: Winogrande (5-shot)
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type: winogrande
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config: winogrande_xl
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split: validation
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 82.72
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=seyf1elislam/WestKunai-Hermes-10.7b-test
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: GSM8k (5-shot)
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type: gsm8k
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config: main
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 51.86
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=seyf1elislam/WestKunai-Hermes-7b
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name: Open LLM Leaderboard
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---
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# WestKunai-Hermes-10.7b-test
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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.
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# Quantized versions :
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- [**GGUF**](https://huggingface.co/seyf1elislam/WestKunai-Hermes-10.7b-test-GGUF)
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# comparison
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| Metric | diff |Current(10.7b)|Origin(7b)|
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|---------------------------------|----:|----:|----:|
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|Avg. |<span style="color:red">-3.76</span>|69.75|73.51|
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|AI2 Reasoning Challenge (25-Shot)|<span style="color:red">-3.07</span>|68.09|71.16|
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|HellaSwag (10-Shot) |<span style="color:red">-0.66</span>|87.10|87.76|
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|MMLU (5-Shot) |<span style="color:red">-0.34</span>|64.43|64.77|
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|TruthfulQA (0-shot) |<span style="color:red">-0.97</span>|64.28|65.25|
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|Winogrande (5-shot) |<span style="color:red">-0.31</span>|82.72|83.03|
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|GSM8k (5-shot) |<span style="color:red">-17.21</span>|51.86|69.07|
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## Merge Details
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### Models Merged
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The following models were included in the merge:
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* [seyf1elislam/WestKunai-Hermes-7b](https://huggingface.co/seyf1elislam/WestKunai-Hermes-7b)
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## Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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slices:
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- sources:
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- model: seyf1elislam/WestKunai-Hermes-7b
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layer_range: [0,9]
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- sources:
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- model: seyf1elislam/WestKunai-Hermes-7b
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layer_range: [5,14]
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- sources:
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- model: seyf1elislam/WestKunai-Hermes-7b
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layer_range: [10,19]
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- sources:
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- model: seyf1elislam/WestKunai-Hermes-7b
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layer_range: [15,24]
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- sources:
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- model: seyf1elislam/WestKunai-Hermes-7b
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layer_range: [20,32]
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merge_method: passthrough
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dtype: bfloat16
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```
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## Usage Example
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```python
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!pip install -qU transformers accelerate
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from transformers import AutoTokenizer
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import transformers
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import torch
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model = "seyf1elislam/WestKunai-Hermes-10.7b-test"
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messages = [{"role": "user", "content": "What is a large language model?"}]
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tokenizer = AutoTokenizer.from_pretrained(model)
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prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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pipeline = transformers.pipeline(
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"text-generation",
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model=model,
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torch_dtype=torch.float16,
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device_map="auto",
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)
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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print(outputs[0]["generated_text"])
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```
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_seyf1elislam__WestKunai-Hermes-10.7b-test)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |69.75|
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|AI2 Reasoning Challenge (25-Shot)|68.09|
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|HellaSwag (10-Shot) |87.10|
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|MMLU (5-Shot) |64.43|
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|TruthfulQA (0-shot) |64.28|
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|Winogrande (5-shot) |82.72|
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|GSM8k (5-shot) |51.86|
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