s3nh/Llama-2-7b-german-assistant-v2-GGML

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

This model is an finetuned version for german instructions and conversations in style of Open Assistant tokens. "<|prompter|>" "<|endoftext|>" "<|assistant|>"

The dataset used is deduplicated and cleaned, with no codes inside. The focus is on instruction following and conversational tasks.

The model archictecture is based on Llama-v2 with 7B parameters, trained on 100% renewable energy powered hardware.

This work is contributed by private research of flozi00