iamgiven/Qwen2.5-Coder-1.5B-Instruct-cpp

Qwen2.5 Coder 1.5B Instruct Merged (Optimized)

This is an optimized merged version of the fine-tuned Qwen2.5 Coder model. It combines:

• Base model: Qwen/Qwen2.5-Coder-1.5B-Instruct
• Fine-tuned adapter: iamgiven/Qwen2.5-Coder-1.5B-Instruct-cpp-lora

The model has been optimized using float16 precision and efficient serialization.

Usage

from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

model = AutoModelForCausalLM.from_pretrained(
    "{full_repo_name}",
    trust_remote_code=True,
    torch_dtype=torch.float16  # Use float16 for efficiency
)
tokenizer = AutoTokenizer.from_pretrained("{full_repo_name}", trust_remote_code=True)