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--- |
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license: apache-2.0 |
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tags: |
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- merge |
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- mergekit |
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- lazymergekit |
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- fblgit/UNA-TheBeagle-7b-v1 |
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- udkai/Turdus |
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base_model: |
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- madatnlp/marcoroni-7b-v3-safetensor |
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- fblgit/UNA-TheBeagle-7b-v1 |
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- udkai/Turdus |
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--- |
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# Marcoroni-7b-DPO-Merge |
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Marcoroni-7b-DPO-Merge is a merge of the following models using [mergekit](https://github.com/cg123/mergekit) and inspired by [Maxime Labonne's work](https://medium.com/@mlabonne): |
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* [fblgit/UNA-TheBeagle-7b-v1](https://huggingface.co/fblgit/UNA-TheBeagle-7b-v1) |
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* [udkai/Turdus](https://huggingface.co/udkai/Turdus) |
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## 𧩠Configuration |
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```yaml |
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models: |
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- model: madatnlp/marcoroni-7b-v3-safetensor |
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# no parameters necessary for base model |
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- model: fblgit/UNA-TheBeagle-7b-v1 |
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parameters: |
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density: 0.3 |
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weight: 0.5 |
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- model: udkai/Turdus |
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parameters: |
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density: 0.7 |
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weight: 0.3 |
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merge_method: ties |
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base_model: madatnlp/marcoroni-7b-v3-safetensor |
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parameters: |
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normalize: true |
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dtype: float16 |
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``` |
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## π» Example Python Code |
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```python |
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from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline |
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model_name_or_path = "nfaheem/Marcoroni-7b-DPO-Merge" |
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model = AutoModelForCausalLM.from_pretrained(model_name_or_path, |
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device_map="auto", |
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revision="main") |
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tokenizer = AutoTokenizer.from_pretrained(model_name_or_path, use_fast=True) |
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prompt = "Write a story about llamas" |
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system_message = "You are a story writing assistant" |
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prompt_template=f'''{prompt} |
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''' |
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print("\n\n*** Generate:") |
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input_ids = tokenizer(prompt_template, return_tensors='pt').input_ids.cuda() |
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output = model.generate(inputs=input_ids, temperature=0.7, do_sample=True, top_p=0.95, top_k=40, max_new_tokens=512) |
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print(tokenizer.decode(output[0])) |
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# Inference can also be done using transformers' pipeline |
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print("*** Pipeline:") |
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pipe = pipeline( |
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"text-generation", |
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model=model, |
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tokenizer=tokenizer, |
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max_new_tokens=512, |
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do_sample=True, |
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temperature=0.7, |
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top_p=0.95, |
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top_k=40, |
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repetition_penalty=1.1 |
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) |
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print(pipe(prompt_template)[0]['generated_text']) |
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``` |
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## π Summary Eval: |
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| Average | ARC | HellaSwag | MMLU | TruthfulQA | Winogrande | GSM8K | |
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|---------|-------|-----------|--------|------------|------------|-------| |
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| 74.9 | 73.04 | 88.8 | 64.24 | 70.47 | 85.24 | 67.63 | |
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## π Huggingface Leaderboard |
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It's Ranked # 1 on HuggingFace Leaderboard among around 13B parameters (01/15/2024) |
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| Model | Average | ARC | HellaSwag | MMLU | Truthful QA | Winogrande | GSM8K | |
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| ---------------------------------- | ------- | ----- | --------- | ----- | ----------- | ------------| ----- | |
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| nfaheem/Marcoroni-7b-DPO-Merge | 74.9 | 73.04 | 88.8 | 64.24 | 70.47 | 85.24 | 67.63 | |
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| mlabonne/Beagle14-7b | 74.76 | 72.95 | 87.95 | 64.7 | 68.38 | 82.64 | 71.42 | |
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| udkai/Turdus | 74.66 | 73.38 | 88.56 | 64.52 | 67.11 | 86.66 | 67.7 | |
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| CultriX/MergeTrix-7B | 74.33 | 72.24 | 87.84 | 64.88 | 66.27 | 83.5 | 71.19 | |
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| fblgit/UNA-TheBeagle-7b-v1 | 73.87 | 73.04 | 88 | 63.48 | 69.85 | 82.16 | 66.72 | |
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/64b6cc785fd617abdfec6bed/0PE-ffmkezG1S6CqScPAv.png) |
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