Merged Model: qwen_onto_llama_lambda-0.5-nse-0.5host

This model is a result of parameter averaging (Model Soup) across 2 models.

Merged Models

The following models were included in the merge:

• toksuite/meta-llama-Llama-3.2-1B
• toksuite/Qwen-Qwen3-8B

Merging Configuration

• Method: Weighted Parameter Averaging
• Weights: Simple average with merging lambda = 0.5.
• Embeddings/Lm_head Merging: Non-shared tokens are kept from the host model with lambda=0.5

Usage

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("moe-dtoks/qwen_onto_llama_lambda-0.5-nse-0.5host")
tokenizer = AutoTokenizer.from_pretrained("moe-dtoks/qwen_onto_llama_lambda-0.5-nse-0.5host")