Transformers
llama
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  1. README.md +41 -1
README.md CHANGED
@@ -156,6 +156,10 @@ This is one of the first models trained on the LosslessMegaCodeTrainingV2_1m_Evo
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  - This model was made as a colaboration between me and andreaskoepf who is an affiliate of Open Assistant.
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  Prompt template:
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  - chatml format is used: "<|im_start|>system\n{system message}<|im_end|>\n<|im_start|>user\n{user prompt}<|im_end|>\n<|im_start|>assistant\n{Assistant answer}<|im_end|>\n"
@@ -169,6 +173,42 @@ multi-line:
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  <|im_start|>assistant
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  {Assistant answer}<|im_end|>
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  ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  Training data:
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  - https://wandb.ai/open-assistant/epfl-mt-sft/runs/run34_megacode2_min100_13b
@@ -183,4 +223,4 @@ Link for the filtered dataset used to make this model are bellow:
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  The original posting for this model was uploaded at the link bellow.
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- - https://huggingface.co/andreaskoepf/llama2-13b-megacode2_min100
 
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  - This model was made as a colaboration between me and andreaskoepf who is an affiliate of Open Assistant.
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+ This Model score .29 on humaneval+ the same as LLaMA-2 70B Chat Link bellow (in this benchmark the model is called andreaskoepf/llama2-13b-megacode2_min100)
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+
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+ - https://tju01.github.io/FastEval-OpenAssistant/
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+
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  Prompt template:
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  - chatml format is used: "<|im_start|>system\n{system message}<|im_end|>\n<|im_start|>user\n{user prompt}<|im_end|>\n<|im_start|>assistant\n{Assistant answer}<|im_end|>\n"
 
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  <|im_start|>assistant
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  {Assistant answer}<|im_end|>
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  ```
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+ Gpt4all template:
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+
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+ - System prompt
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+ ```
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+ <|im_start|>system
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+ {system message}
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+ ```
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+ - Prompt template
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+ ```
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+ <|im_end|>
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+ <|im_start|>user
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+ %1<|im_end|>
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+ <|im_start|>assistant
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+ ```
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+
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+ Oobagooba Text-Generation-Webui Template
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+ - user:
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+ ```
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+ <|im_start|>user
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+ {User string}<|im_end|>
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+ ```
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+ - bot:
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+ ```
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+ <|im_start|>assistant
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+ {Bot string}<|im_end|>
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+ ```
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+ - turn_template:
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+ ```
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+ <|user|>\n<|user-message|>\n\n<|bot|>\n<|bot-message|>\n\n
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+ ```
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+ - context:
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+ ```
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+ <|im_start|>system
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+ Below is an instruction that describes a task. Write a response that appropriately completes the request.<|im_end|>
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+ ```
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+
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  Training data:
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  - https://wandb.ai/open-assistant/epfl-mt-sft/runs/run34_megacode2_min100_13b
 
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  The original posting for this model was uploaded at the link bellow.
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+ - https://huggingface.co/andreaskoepf/llama2-13b-megacode2_min100