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))
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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
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