Synatra 10.7B V0.4

🚀 Synatra-10.7B-v0.4🐧

Synatra-10.7B-v0.4 is a powerful model based on a specific base model, offering great potential for various natural language processing tasks.

🚀 Quick Start

You can quickly start using Synatra-10.7B-v0.4 by referring to the implementation code below.

✨ Features

• Base Model: Built upon upstage/SOLAR-10.7B-v1.0.
• Training Environment: Trained on A100 80GB * 1.
• Instruction Format: Follows the Alpaca format.

📦 Installation

No specific installation steps are provided in the original document.

💻 Usage Examples

Basic Usage

from transformers import AutoModelForCausalLM, AutoTokenizer

device = "cuda" # the device to load the model onto

model = AutoModelForCausalLM.from_pretrained("maywell/Synatra-10.7B-v0.4")
tokenizer = AutoTokenizer.from_pretrained("maywell/Synatra-10.7B-v0.4")

messages = [
    {"role": "user", "content": "바나나는 원래 하얀색이야?"},
]

encodeds = tokenizer.apply_chat_template(messages, return_tensors="pt")

model_inputs = encodeds.to(device)
model.to(device)

generated_ids = model.generate(model_inputs, max_new_tokens=1000, do_sample=True)
decoded = tokenizer.batch_decode(generated_ids)
print(decoded[0])

📚 Documentation

Model Details

Model Benchmark

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📄 License

The "Model" is completely free (ie. base model, derivates, merges/mixes) to use for non-commercial purposes as long as the the included cc-by-sa-4.0 license in any parent repository, and the non-commercial use statute remains, regardless of other models' licences.

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