Update README.md

README.md

@@ -13,39 +13,26 @@ This is a preview look at our flagship model, Replete-LLM. This version of the m
 
 # Model card:
 
-Replete-LLM is Replete-AI's flagship model. We pride ourselves on releasing a fully open-source, low parameter, and compeditive AI model that not only exceeds its predicesor (Qwen/Qwen2-7B-Instruct) in performance, but also competes with other flagship models like (google/gemma-2-9b-it) and (meta-llama/Meta-Llama-3-8B-Instruct) in terms of overall performance in all fields and catagories. 
-
-Replete-LLM-Qwen2-7b is a general purpose model finetuned to perform well on every task you can imagine. Generations of the following type were all including in the finetuning process:
-
-- Science: (General, Physical reasoning)
-
-- Social media: (Reddit, Twitter)
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-- General Knowledge: (Character-Codex), (Famous_Quotes), (Steam Video Games), (How-To? Explinations)
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-- Cooking: (Cooking prefrences, Recipes)
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-- Writing: (Poetry, Essays, General Writing)
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-- Medicine: (General Medical Data)
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-- History: (General Historical Data)
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-- Law: (Legal Q/A)
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-- Role-Play (Couple-RP, Roleplay Conversations)
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-- News (News Generations)
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-- Coding (3 million rows of coding data in over 100 coding languages)
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-- Math: (Math data form TIGER-Lab/MathInstruct)
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-- Function calling: (Function calling data from "glaiveai/glaive-function-calling-v2")
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-- General Instruct: (All of teknium/OpenHermes-2.5 fully filtered and uncensored)
-
-We at Replete-AI hope you use our open-source model locally to do your work and play instead of paying companies like Open-AI and Anthropic AI, or whoever else charges money to use AI models. We believe in completely free and open source AI use for all. So please enjoy our model, and look forward to the final release in a few weeks.
+**Replete-LLM** is **Replete-AI**'s flagship model. We take pride in releasing a fully open-source, low parameter, and competitive AI model that not only surpasses its predecessor (Qwen/Qwen2-7B-Instruct) in performance, but also competes with other flagship models such as (google/gemma-2-9b-it) and (meta-llama/Meta-Llama-3-8B-Instruct) in terms of overall performance across all fields and categories.
+
+**Replete-LLM-Qwen2-7b** is a versatile model fine-tuned to excel on any imaginable task. The following types of generations were included in the fine-tuning process:
+
+- **Science**: (General, Physical Reasoning)
+- **Social Media**: (Reddit, Twitter)
+- **General Knowledge**: (Character-Codex), (Famous Quotes), (Steam Video Games), (How-To? Explanations)
+- **Cooking**: (Cooking Preferences, Recipes)
+- **Writing**: (Poetry, Essays, General Writing)
+- **Medicine**: (General Medical Data)
+- **History**: (General Historical Data)
+- **Law**: (Legal Q&A)
+- **Role-Play**: (Couple-RP, Roleplay Conversations)
+- **News**: (News Generation)
+- **Coding**: (3 million rows of coding data in over 100 coding languages)
+- **Math**: (Math data from TIGER-Lab/MathInstruct)
+- **Function Calling**: (Function calling data from "glaiveai/glaive-function-calling-v2")
+- **General Instruction**: (All of teknium/OpenHermes-2.5 fully filtered and uncensored)
+
+At **Replete-AI**, we hope you utilize our open-source model locally for your work and enjoyment rather than paying companies like OpenAI and Anthropic AI, or anyone who charges fees for using AI models. We believe in complete freedom and openness for AI usage by everyone. Therefore, please enjoy our model and anticipate the final release within a few weeks.
 
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@@ -53,7 +40,8 @@ The code to finetune this AI model can be found bellow
 
 - https://colab.research.google.com/drive/1vIrqH5uYDQwsJ4-OO3DErvuv4pBgVwk4?usp=sharing
 
-- Note this model in particular was finetunes using an h100 using Tensordock.com. In order to use Unsloth code with tensordock you need to run the following code (Bellow) to reinstall drivers on tensordock before unsloth works. After running the code bellow, your Virtual Machine will reset, and you will have to SSH back into it. And then you can run the normal unsloth code in order.
+-
+ Note this model in particular was finetunes using an h100 using Tensordock.com. In order to use Unsloth code with tensordock you need to run the following code (Bellow) to reinstall drivers on tensordock before unsloth works. After running the code bellow, your Virtual Machine will reset, and you will have to SSH back into it. And then you can run the normal unsloth code in order.
 
 ```python
 # Check Current Size