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llama_onto_qwen_lambda-1 – AI Model by moe-dtoks | AlphaNeural AI

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moe-dtoks/
llama_onto_qwen_lambda-1

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parameter-averaging

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Merged Model: llama_onto_qwen_lambda-1

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

Merged Models

The following models were included in the merge:

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

Merging Configuration

Method: Weighted Parameter Averaging
Weights: Simple average with merging lambda = 1.0.
Excluded Layers: Embeddings and LM Head were kept from the host model (toksuite/Qwen-Qwen3-8B).

Usage

python

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("flexitok/llama_onto_qwen_lambda-1")
tokenizer = AutoTokenizer.from_pretrained("flexitok/llama_onto_qwen_lambda-1")