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toksuite-qwen-onto-llama – AI Model by moe-dtoks | AlphaNeural AI

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moe-dtoks/
toksuite-qwen-onto-llama

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parameter-averaging

toksuite/Qwen-Qwen3-8B

toksuite/meta-llama-Llama-3.2-1B

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Merged Model: toksuite-qwen-onto-llama

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.
Excluded Layers: Embeddings and LM Head were kept from the base model (toksuite/meta-llama-Llama-3.2-1B).

Usage

python

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("moe-dtoks/toksuite-qwen-onto-llama")
tokenizer = AutoTokenizer.from_pretrained("moe-dtoks/toksuite-qwen-onto-llama")