README.md

metadata

language:
  - en
library_name: transformers
pipeline_tag: text-generation

GenZ 13B v2 GGML

The instruction finetuned model with 4K input length. The model is finetuned on top of pretrained LLaMa2

Inference

import ctransformers
from ctransformers import AutoModelForCausalLM


model = AutoModelForCausalLM.from_pretrained('budecosystem/genz-13b-v2-ggml', model_type="llama")

prompt = """A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions.
USER: who are you? ASSISTANT: """
print(model(prompt))

Support LM Studio for Mac & Windows users

Use following prompt template

A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. USER: Hi, how are you? ASSISTANT: 

Check the GitHub for the code -> GenZ