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Isotonic
/
phizzle

Text Generation
Transformers
Safetensors
phi-msft
Merge
mergekit
lazymergekit
rhysjones/phi-2-orange
cognitivecomputations/dolphin-2_6-phi-2
mrm8488/phi-2-coder
custom_code
Inference Endpoints
Model card Files Community
1
phizzle
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---
license: apache-2.0
tags:
- merge
- mergekit
- lazymergekit
- rhysjones/phi-2-orange
- cognitivecomputations/dolphin-2_6-phi-2
- mrm8488/phi-2-coder
---

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# Phizzle

Phizzle is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [rhysjones/phi-2-orange](https://huggingface.co/rhysjones/phi-2-orange)
* [cognitivecomputations/dolphin-2_6-phi-2](https://huggingface.co/cognitivecomputations/dolphin-2_6-phi-2)
* [mrm8488/phi-2-coder](https://huggingface.co/mrm8488/phi-2-coder)

## 🧩 Configuration

```yaml
models:
  - model: rhysjones/phi-2-orange
    parameters:
      density: 0.5
      weight: 0.3 
  - model: cognitivecomputations/dolphin-2_6-phi-2
    parameters:
      density: 0.5
      weight: 0.3
  - model: mrm8488/phi-2-coder
    parameters:
      density: 0.5
      weight: 0.3

merge_method: ties
base_model: rhysjones/phi-2-orange
parameters:
  normalize: true
dtype: float16
```

## 💻 Usage

```python
!pip install -qU transformers accelerate einops

from transformers import AutoTokenizer
import transformers
import torch

model = "Isotonic/phizzle"
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",
    trust_remote_code=True
)

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"])
```

## Evaluations

Evaluations done using mlabonne's usefull [Colab notebook llm-autoeval](https://github.com/mlabonne/llm-autoeval).
Also check out the alternative leaderboard at [Yet_Another_LLM_Leaderboard](https://huggingface.co/spaces/mlabonne/Yet_Another_LLM_Leaderboard)

[phizzle](https://huggingface.co/Isotonic/phizzle) - Yet to be benchmarked

|                             Model                              |AGIEval|GPT4All|TruthfulQA|Bigbench|Average|
|----------------------------------------------------------------|------:|------:|---------:|-------:|------:|
|[phi-2-orange](https://huggingface.co/rhysjones/phi-2-orange)|  **33.37**|  71.33|      49.87|   **37.3**|  **47.97**|
|[phi-2-dpo](https://huggingface.co/lxuechen/phi-2-dpo)|  30.39|  **71.68**|     **50.75**|    34.9|  46.93|
|[dolphin-2_6-phi-2](https://huggingface.co/cognitivecomputations/dolphin-2_6-phi-2)|  33.12|  69.85|     47.39|    37.2|  46.89|
|[phi-2](https://huggingface.co/microsoft/phi-2)|  27.98|   70.8|     44.43|   35.21|  44.61|