Original model card

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Description

GGML Format model files for This project.

inference

import ctransformers

from ctransformers import AutoModelForCausalLM

model = AutoModelForCausalLM.from_pretrained(output_dir, ggml_file,
gpu_layers=32, model_type="llama")

manual_input: str = "Tell me about your last dream, please."


llm(manual_input, 
      max_new_tokens=256, 
      temperature=0.9, 
      top_p= 0.7)

Original model card

Model Details

This is an unofficial implementation of AlpaGasus-13B, which is a chat assistant trained by fine-tuning LLaMA on a Claud-filtered Alpaca dataset with around 5K triplets.

• Developed by: gpt4life
• Model type: An auto-regressive language model based on the transformer architecture.
• License: Non-commercial license
• Finetuned from model: LLaMA-13B.

Please see the original LLaMA license before using this model.

Model Sources

• Repository: https://github.com/gpt4life/alpagasus
• Paper: https://arxiv.org/pdf/2307.08701.pdf

Training Details

AlpaGasus-13B is fine-tuned from LLaMA-13B with supervised instruction fine-tuning on the filtered Alpaca dataset.