96 lines
3.0 KiB
Markdown
96 lines
3.0 KiB
Markdown
---
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license: apache-2.0
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tags:
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- merge
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- beowolx/CodeNinja-1.0-OpenChat-7B
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- beowolx/MistralHermes-CodePro-7B-v1
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model-index:
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- name: NinjaDolphin-7B
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results:
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- task:
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type: text-generation # Required. Example: automatic-speech-recognition
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dataset:
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type: openai_humaneval # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
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name: HumanEval # Required. A pretty name for the dataset. Example: Common Voice (French)
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metrics:
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- type: pass@1 # Required. Example: wer. Use metric id from https://hf.co/metrics
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value: 52.4390243902439 # Required. Example: 20.90
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name: pass@1 # Optional. Example: Test WER
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verified: false
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---
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# NinjaDolphin-7B
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NinjaDolphin-7B is a merge of the following models using:
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* [beowolx/CodeNinja-1.0-OpenChat-7B](https://huggingface.co/beowolx/CodeNinja-1.0-OpenChat-7B)
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* [beowolx/MistralHermes-CodePro-7B-v1](https://huggingface.co/beowolx/MistralHermes-CodePro-7B-v1)
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Improving coding ability from [FelixChao/WizardDolphin-7B](https://huggingface.co/FelixChao/WizardDolphin-7B).
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## HumanEval (uninstructed and no post-process)
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| Metric | Value |
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| --- | --- |
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| humaneval-python |52.4390243902439|
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## 🧩 Configuration
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```yaml
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models:
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- model: FelixChao/WizardDolphin-7B
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- model: beowolx/CodeNinja-1.0-OpenChat-7B
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parameters:
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density: 0.53
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weight: 0.3
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- model: beowolx/MistralHermes-CodePro-7B-v1
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parameters:
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density: 0.53
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weight: 0.3
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merge_method: dare_ties
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base_model: FelixChao/WizardDolphin-7B
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parameters:
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int8_mask: true
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dtype: bfloat16
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```
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## 💻 Usage
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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 = "FelixChao/NinjaDolphin-7B"
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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_FelixChao__NinjaDolphin-7B)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |69.74|
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|AI2 Reasoning Challenge (25-Shot)|65.61|
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|HellaSwag (10-Shot) |85.35|
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|MMLU (5-Shot) |64.43|
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|TruthfulQA (0-shot) |54.94|
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|Winogrande (5-shot) |80.27|
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|GSM8k (5-shot) |67.85|
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