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README.md CHANGED
@@ -1,24 +1,33 @@
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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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- - codellama/CodeLlama-34b-Instruct-hf
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- - Phind/Phind-CodeLlama-34B-v2
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  base_model:
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  - codellama/CodeLlama-34b-Instruct-hf
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  - Phind/Phind-CodeLlama-34B-v2
 
 
 
 
 
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  ---
 
 
 
 
 
 
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- # uptimeai-8273
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- uptimeai-8273 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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- * [codellama/CodeLlama-34b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-34b-Instruct-hf)
 
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  * [Phind/Phind-CodeLlama-34B-v2](https://huggingface.co/Phind/Phind-CodeLlama-34B-v2)
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- ## 🧩 Configuration
 
 
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  ```yaml
 
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  models:
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  - model: codellama/CodeLlama-34b-Instruct-hf
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  parameters:
@@ -34,29 +43,5 @@ parameters:
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  normalize: true
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  int8_mask: true
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  dtype: float16
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- ```
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-
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- ## πŸ’» 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 = "okeanos/uptimeai-8273"
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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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  - codellama/CodeLlama-34b-Instruct-hf
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  - Phind/Phind-CodeLlama-34B-v2
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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-legacy
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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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+ This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [codellama/CodeLlama-34b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-34b-Instruct-hf) as a base.
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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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  * [Phind/Phind-CodeLlama-34B-v2](https://huggingface.co/Phind/Phind-CodeLlama-34B-v2)
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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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+
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  models:
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  - model: codellama/CodeLlama-34b-Instruct-hf
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  parameters:
 
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  normalize: true
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  int8_mask: true
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  dtype: float16
 
 
 
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+ ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "▁<EOT>": 32003,
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+ "▁<MID>": 32001,
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+ "▁<PRE>": 32000,
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+ "▁<SUF>": 32002
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+ }
config.json ADDED
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+ {
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+ "_name_or_path": "codellama/CodeLlama-34b-Instruct-hf",
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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": 8192,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 22016,
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+ "max_position_embeddings": 16384,
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+ "model_type": "llama",
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+ "num_attention_heads": 64,
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+ "num_hidden_layers": 48,
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+ "num_key_value_heads": 8,
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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": 1000000,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "float16",
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+ "transformers_version": "4.38.2",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
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+ models:
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+ - model: codellama/CodeLlama-34b-Instruct-hf
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+ parameters:
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+ density: [1, 0.7, 0.1] # density gradient
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+ weight: 1.0
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+ - model: Phind/Phind-CodeLlama-34B-v2
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+ parameters:
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+ density: 0.5
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+ weight: [0, 0.3, 0.7, 1] # weight gradient
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+ merge_method: dare_ties
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+ base_model: codellama/CodeLlama-34b-Instruct-hf
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+ parameters:
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+ normalize: true
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+ int8_mask: true
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+ dtype: float16
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+ "▁<EOT>"
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+ "content": "▁<EOT>",
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+ "▁<EOT>"
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+ "eot_token": "▁<EOT>",
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