Update README.md

README.md

@@ -5,14 +5,4 @@ license: apache-2.0
 contact whatsap:- +8801622951671
 this module supported old andeoid phn,, without high CPU 
 no need GPU
-only normal phn run 4B models tinyllama
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-The TinyLlama project aims to pretrain a 4B Llama model on 3 trillion tokens. With some proper optimization, we can achieve this within a span of "just" 90 days using 16 A100-40G GPUs 🚀🚀. The training has started on 2023-09-01.
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-We adopted exactly the same architecture and tokenizer as Llama 2. This means TinyLlama can be plugged and played in many open-source projects built upon Llama. Besides, TinyLlama is compact with only 1.1B parameters. This compactness allows it to cater to a multitude of applications demanding a restricted computation and memory footprint.
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-This Model
-This is the chat model finetuned on top of TinyLlama/TinyLlama-1.1B-intermediate-step-955k-2T. We follow HF's Zephyr's training recipe. The model was " initially fine-tuned on a variant of the UltraChat dataset, which contains a diverse range of synthetic dialogues generated by ChatGPT. We then further aligned the model with 🤗 TRL's DPOTrainer on the openbmb/UltraFeedback dataset, which contain 64k prompts and model completions that are ranked by GPT-4."
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-How to use
-You will need the transformers>=4.34 Do check the TinyLlama github page for more information.
+only normal phn run 4B models