Llama3 8b Spaetzle V20

🚀 llama3-8b-spaetzle-v20

llama3-8b-spaetzle-v20 is a merged model that combines the strengths of multiple models to provide enhanced performance in language processing.

✨ Features

• Model Merge: llama3-8b-spaetzle-v20 is a merge of cstr/llama3-8b-spaetzle-v13 and nbeerbower/llama-3-wissenschaft-8B-v2.
• Multilingual Support: Supports both English and German.

📊 Benchmarks

On EQ-Bench v2_de, it achieves 65.7 (171/171 parseable). From the Open LLM Leaderboard (details):

📦 Installation

!pip install -qU transformers accelerate

💻 Usage Examples

Basic Usage

from transformers import AutoTokenizer
import transformers
import torch

model = "cstr/llama3-8b-spaetzle-v20"
messages = [{"role": "user", "content": "What is a large language model?"}]

tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
pipeline = transformers.pipeline(
    "text-generation",
    model=model,
    torch_dtype=torch.float16,
    device_map="auto",
)

outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])

📚 Documentation

🧩 Configuration

models:
  - model: cstr/llama3-8b-spaetzle-v13
    # no parameters necessary for base model
  - model: nbeerbower/llama-3-wissenschaft-8B-v2
    parameters:
      density: 0.65
      weight: 0.4        
merge_method: dare_ties
base_model: cstr/llama3-8b-spaetzle-v13
parameters:
  int8_mask: true
dtype: bfloat16
random_seed: 0
tokenizer_source: base

📄 License

The model is under the llama3 license.

📋 Model Information