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README.md CHANGED
@@ -1,63 +1,51 @@
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  ---
 
 
 
 
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  tags:
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- - merge
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  - mergekit
5
- - lazymergekit
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- - CorticalStack/shadow-clown-7B-slerp
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- - weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp
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- base_model:
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- - CorticalStack/shadow-clown-7B-slerp
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- - weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp
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  ---
 
 
 
 
 
 
 
 
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- # WeyStack-2.5-7B-slerp
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- WeyStack-2.5-7B-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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- * [CorticalStack/shadow-clown-7B-slerp](https://huggingface.co/CorticalStack/shadow-clown-7B-slerp)
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- * [weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp](https://huggingface.co/weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp)
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- ## 🧩 Configuration
 
 
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  ```yaml
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  slices:
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  - sources:
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- - model: CorticalStack/shadow-clown-7B-slerp
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- layer_range: [0, 32]
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- - model: weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp
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- layer_range: [0, 32]
 
 
 
 
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  merge_method: slerp
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- base_model: OpenPipe/mistral-ft-optimized-1218
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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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  ```
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-
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- ## 💻 Usage
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-
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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 = "allknowingroger/WeyStack-2.5-7B-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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+ - garage-bAInd/Platypus2-13B
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+ - psmathur/orca_mini_v3_13b
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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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+
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+ ## Merge Details
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+ ### Merge Method
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+
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+ This model was merged using the SLERP merge method.
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+ ### Models Merged
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+ The following models were included in the merge:
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+ * [garage-bAInd/Platypus2-13B](https://huggingface.co/garage-bAInd/Platypus2-13B)
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+ * [psmathur/orca_mini_v3_13b](https://huggingface.co/psmathur/orca_mini_v3_13b)
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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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  - sources:
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+ - model: psmathur/orca_mini_v3_13b
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+ layer_range: [0, 40]
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+ - model: garage-bAInd/Platypus2-13B
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+ layer_range: [0, 40]
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+ # or, the equivalent models: syntax:
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+ # models:
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+ # - model: psmathur/orca_mini_v3_13b
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+ # - model: garage-bAInd/Platypus2-13B
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  merge_method: slerp
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+ base_model: psmathur/orca_mini_v3_13b
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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 # fallback for rest of tensors
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+ dtype: float16
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  ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
config.json ADDED
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+ {
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+ "_name_or_path": "psmathur/orca_mini_v3_13b",
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+ "architectures": [
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+ "LlamaForCausalLM"
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+ ],
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+ "attention_bias": false,
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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": 5120,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 13824,
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+ "max_position_embeddings": 4096,
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+ "model_type": "llama",
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+ "num_attention_heads": 40,
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+ "num_hidden_layers": 40,
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+ "num_key_value_heads": 40,
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+ "pad_token_id": 0,
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+ "pretraining_tp": 1,
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+ "rms_norm_eps": 1e-05,
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+ "rope_scaling": null,
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+ "rope_theta": 10000.0,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "float16",
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+ "transformers_version": "4.39.3",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
mergekit_config.yml ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ slices:
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+ - sources:
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+ - model: psmathur/orca_mini_v3_13b
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+ layer_range: [0, 40]
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+ - model: garage-bAInd/Platypus2-13B
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+ layer_range: [0, 40]
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+ # or, the equivalent models: syntax:
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+ # models:
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+ # - model: psmathur/orca_mini_v3_13b
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+ # - model: garage-bAInd/Platypus2-13B
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+ merge_method: slerp
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+ base_model: psmathur/orca_mini_v3_13b
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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 # fallback for rest of tensors
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+ dtype: float16
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tokenizer.json ADDED
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tokenizer.model ADDED
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tokenizer_config.json ADDED
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+ {
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+ "tokenizer_class": "LlamaTokenizer",
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+ "use_default_system_prompt": false
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+ }