metadata
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:
🧩 Configuration
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
!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. Also check out the alternative leaderboard at Yet_Another_LLM_Leaderboard
phizzle - Yet to be benchmarked
| Model | AGIEval | GPT4All | TruthfulQA | Bigbench | Average |
|---|---|---|---|---|---|
| phi-2-orange | 33.37 | 71.33 | 49.87 | 37.3 | 47.97 |
| phi-2-dpo | 30.39 | 71.68 | 50.75 | 34.9 | 46.93 |
| dolphin-2_6-phi-2 | 33.12 | 69.85 | 47.39 | 37.2 | 46.89 |
| phi-2 | 27.98 | 70.8 | 44.43 | 35.21 | 44.61 |