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README.md CHANGED
@@ -1,22 +1,31 @@
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  ---
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- tags:
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- - merge
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- - mergekit
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- - lazymergekit
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- - yam-peleg/Experiment26-7B
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- - cognitivecomputations/dolphin-2.8-experiment26-7b
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  base_model:
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  - yam-peleg/Experiment26-7B
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  - cognitivecomputations/dolphin-2.8-experiment26-7b
 
 
 
 
 
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  ---
 
 
 
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- # Dolphin-2.8-slerp
 
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- Dolphin-2.8-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
 
 
 
 
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  * [yam-peleg/Experiment26-7B](https://huggingface.co/yam-peleg/Experiment26-7B)
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  * [cognitivecomputations/dolphin-2.8-experiment26-7b](https://huggingface.co/cognitivecomputations/dolphin-2.8-experiment26-7b)
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- ## 🧩 Configuration
 
 
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  ```yaml
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  slices:
@@ -35,29 +44,5 @@ parameters:
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  value: [1, 0.5, 0.7, 0.3, 0]
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  - value: 0.5
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  dtype: bfloat16
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- ```
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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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-
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- from transformers import AutoTokenizer
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- import transformers
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- import torch
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-
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- model = "pabloce/Dolphin-2.8-slerp"
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- messages = [{"role": "user", "content": "What is a large language model?"}]
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-
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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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-
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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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  ---
 
 
 
 
 
 
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  base_model:
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  - yam-peleg/Experiment26-7B
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  - cognitivecomputations/dolphin-2.8-experiment26-7b
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+ library_name: transformers
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+ tags:
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+ - mergekit
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+ - merge
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+
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  ---
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+ # merge
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+
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+ This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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+ ## Merge Details
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+ ### Merge Method
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+ This model was merged using the SLERP merge method.
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+
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+ ### Models Merged
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+
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+ The following models were included in the merge:
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  * [yam-peleg/Experiment26-7B](https://huggingface.co/yam-peleg/Experiment26-7B)
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  * [cognitivecomputations/dolphin-2.8-experiment26-7b](https://huggingface.co/cognitivecomputations/dolphin-2.8-experiment26-7b)
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+ ### Configuration
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+
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+ The following YAML configuration was used to produce this model:
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  ```yaml
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  slices:
 
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  value: [1, 0.5, 0.7, 0.3, 0]
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  - value: 0.5
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  dtype: bfloat16
 
 
 
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+ ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
config.json ADDED
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+ {
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+ "_name_or_path": "yam-peleg/Experiment26-7B",
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+ "architectures": [
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+ "MistralForCausalLM"
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+ ],
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 1,
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+ "eos_token_id": 2,
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+ "hidden_act": "silu",
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+ "hidden_size": 4096,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 14336,
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+ "max_position_embeddings": 32768,
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+ "model_type": "mistral",
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+ "num_attention_heads": 32,
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+ "num_key_value_heads": 8,
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+ "rms_norm_eps": 1e-05,
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+ "rope_theta": 10000.0,
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+ "sliding_window": 4096,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.37.2",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
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+ slices:
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+ - sources:
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+ - model: yam-peleg/Experiment26-7B
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+ layer_range: [0, 32]
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+ - model: cognitivecomputations/dolphin-2.8-experiment26-7b
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+ layer_range: [0, 32]
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+ merge_method: slerp
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+ base_model: yam-peleg/Experiment26-7B
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+ parameters:
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+ t:
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+ - filter: self_attn
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+ value: [0, 0.5, 0.3, 0.7, 1]
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+ - filter: mlp
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+ value: [1, 0.5, 0.7, 0.3, 0]
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+ - value: 0.5
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+ dtype: bfloat16
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