metadata

license: llama3
pipeline_tag: text-generation
base_model: OwenArli/ArliAI-Llama-3-8B-Dolfin-v0.3
tags:
  - llama
  - conversational

QuantFactory/ArliAI-Llama-3-8B-Dolfin-v0.3-GGUF

This is quantized version of OwenArli/ArliAI-Llama-3-8B-Dolfin-v0.3 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

This is a fine tune using an improved Dolphin and WizardLM dataset intended to make the model follow instructions better and refuse less. OpenLLM benchmark is running...

OpenLLM Benchmark:

Training:

2048 sequence length since the dataset has an average length of under 1000 tokens, while the base model is 8192 sequence length. From testing it still performs the same 8192 context just fine.
Training duration is around 1 days on 2xRTX 3090, using 4-bit loading and Qlora 64-rank 128-alpha resulting in ~2% trainable weights.

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|>