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nexus-qwen35-0p8b-smoke-merged – AI Model by kinkinkin123456 | AlphaNeural AI

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kinkinkin123456/
nexus-qwen35-0p8b-smoke-merged

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feature-extraction

Qwen/Qwen3.5-0.8B

endpoints_compatible

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Nexus Qwen3.5-0.8B Smoke Merged Model

This repository contains a standalone merged checkpoint produced from the Nexus Qwen3.5-0.8B smoke LoRA adapter.

It is intended for teammates who want a full model directory instead of loading a separate PEFT adapter.

What This Repo Contains

This is a merged full-weight checkpoint.

Main files:

model.safetensors
config.json
processor_config.json
tokenizer.json
tokenizer_config.json
chat_template.jinja
nexus_configs/

Training Summary

Base model: Qwen/Qwen3.5-0.8B
Source adapter: Nexus Stage 1 smoke LoRA finetune artifact
Merge type: PEFT adapter merged into base model
Training goal: smoke validation for training, save, reload, and inference paths
Data: a small HatefulMemes smoke subset
Steps: 10
Precision: bf16

Recommended Usage

Inside the Nexus codebase, point both model and processor to this directory:

python

from Nexus import MultimodalEmbedder

model = MultimodalEmbedder(
    model_name_or_path="path/to/this/merged/repo",
    processor_name_or_path="path/to/this/merged/repo",
    model_type="qwen3_5",
    trust_remote_code=True,
    normalize_embeddings=True,
    pooling_method="last_token",
)

Limitations

This is still a smoke-stage artifact.
It is useful for code verification and release testing, not for final capability claims.
The underlying finetune is intentionally tiny.