Create README.md

README.md

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+---
+license: llama3
+pipeline_tag: text-generation
+base_model: OwenArli/ArliAI-Llama-3-8B-Dolfin-v1.0
+---
+
+# QuantFactory/ArliAI-Llama-3-8B-Dolfin-v1.0-GGUF
+This is quantized version of [OwenArli/ArliAI-Llama-3-8B-Dolfin-v1.0](https://huggingface.co/OwenArli/ArliAI-Llama-3-8B-Dolfin-v1.0) created using llama.cpp
+
+# Model Description
+Based on Meta-Llama-3-8b-Instruct, and is governed by Meta Llama 3 License agreement:
+https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct
+
+
+Base model: https://huggingface.co/failspy/Meta-Llama-3-8B-Instruct-abliterated-v3
+
+
+SFT fine tune of Meta Llama 3 8B Instruct Abliterated v3 by Failspy using an improved Dolphin and WizardLM dataset intended to remove GPT-isms and make the model follow instructions more exactly while paying attention to details better.
+
+Since it is based on the Abliterated version of Llama 3 8B Instruct it should naturally not refuse to answer in the first place and this fine tuning should make it comply even better. 
+
+
+Best practices:
+  - Be precise and explain what you want the model to do. It has less base "personality" than the OG model but it will act however you tell it to.
+  - This model works best with system prompts that tells it that it is the character, instead of telling it to act as a character. 
+
+Training:
+- Full 8192 sequence length 
+- Training duration is around 2.5 days on an RTX 4090
+- 1 epoch training with a massive dataset for minimized repetition sickness.
+- Using 4-bit loading and Qlora 64-rank 64-alpha resulting in ~2% trainable weights.
+
+
+Llama 3 Instruct format:
+```
+<|begin_of_text|><|start_header_id|>system<|end_header_id|>
+
+{{ system_prompt }}<|eot_id|><|start_header_id|>user<|end_header_id|>
+
+{{ user_message_1 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
+
+{{ model_answer_1 }}<|eot_id|><|start_header_id|>user<|end_header_id|>
+
+{{ user_message_2 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
+```