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  1. README.md +4 -5
  2. mergekit_config.yml +1 -1
README.md CHANGED
@@ -4,17 +4,17 @@ tags:
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  - merge
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  - mergekit
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  - lazymergekit
 
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  - cognitivecomputations/dolphin-2_6-phi-2
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  - mrm8488/phi-2-coder
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- - rhysjones/phi-2-orange
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  ---
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  # phi-2-ties
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  phi-2-ties is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
 
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  * [cognitivecomputations/dolphin-2_6-phi-2](https://huggingface.co/cognitivecomputations/dolphin-2_6-phi-2)
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  * [mrm8488/phi-2-coder](https://huggingface.co/mrm8488/phi-2-coder)
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- * [rhysjones/phi-2-orange](https://huggingface.co/rhysjones/phi-2-orange)
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  ## 🧩 Configuration
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@@ -23,7 +23,7 @@ models:
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  - model: rhysjones/phi-2-orange
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  parameters:
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  density: 0.5
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- weight: 0.4
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  - model: cognitivecomputations/dolphin-2_6-phi-2
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  parameters:
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  density: 0.5
@@ -43,7 +43,7 @@ dtype: float16
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  ## 💻 Usage
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  ```python
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- !pip install -qU transformers accelerate einops
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  from transformers import AutoTokenizer
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  import transformers
@@ -59,7 +59,6 @@ pipeline = transformers.pipeline(
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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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- trust_remote_code=True
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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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  - merge
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  - mergekit
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  - lazymergekit
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+ - rhysjones/phi-2-orange
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  - cognitivecomputations/dolphin-2_6-phi-2
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  - mrm8488/phi-2-coder
 
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  ---
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  # phi-2-ties
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  phi-2-ties is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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+ * [rhysjones/phi-2-orange](https://huggingface.co/rhysjones/phi-2-orange)
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  * [cognitivecomputations/dolphin-2_6-phi-2](https://huggingface.co/cognitivecomputations/dolphin-2_6-phi-2)
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  * [mrm8488/phi-2-coder](https://huggingface.co/mrm8488/phi-2-coder)
 
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  ## 🧩 Configuration
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  - model: rhysjones/phi-2-orange
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  parameters:
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  density: 0.5
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+ weight: 0.3
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  - model: cognitivecomputations/dolphin-2_6-phi-2
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  parameters:
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  density: 0.5
 
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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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  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)
mergekit_config.yml CHANGED
@@ -3,7 +3,7 @@ models:
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  - model: rhysjones/phi-2-orange
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  parameters:
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  density: 0.5
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- weight: 0.4
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  - model: cognitivecomputations/dolphin-2_6-phi-2
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  parameters:
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  density: 0.5
 
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  - model: rhysjones/phi-2-orange
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  parameters:
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  density: 0.5
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+ weight: 0.3
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  - model: cognitivecomputations/dolphin-2_6-phi-2
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  parameters:
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  density: 0.5