Beta

Explore
Marketplace
Neural Labs
Chat
Wallet
Docs

Beta

Explore Marketplace Neural Labs Wallet Docs

Build

Manage

My assets Manage wallet Organization

Community

Discord X (Twitter)Telegram

Docs Privacy Policy Terms and Conditions

Proud member of

Proud member of

Docs Cookie Policy

Privacy Policy Terms and Conditions

© 2026 AlphaNeural AI. All rights reserved.

qwen35-9b-muon-lora-r16 – AI Model by uam-rl | AlphaNeural AI

You can deploy this model and start earning money today!

uam-rl/
qwen35-9b-muon-lora-r16

like

0

text-generation

Qwen/Qwen3.5-9B

Views

No views yet

Qwen3.5 9B Typst SFT LoRA

This repository contains a PEFT LoRA adapter trained from Qwen/Qwen3.5-9B. It does not include merged base-model weights.

Contents

adapter_model.safetensors: LoRA adapter weights
adapter_config.json: PEFT adapter configuration
tokenizer.json, tokenizer_config.json, chat_template.jinja: tokenizer sidecars from the training run

Loading

python

from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel

base_model = "Qwen/Qwen3.5-9B"
adapter = "uam-rl/qwen35-9b-muon-lora-r16"

tokenizer = AutoTokenizer.from_pretrained(adapter)
model = AutoModelForCausalLM.from_pretrained(
    base_model,
    torch_dtype="auto",
    device_map="auto",
)
model = PeftModel.from_pretrained(model, adapter)

Training

Method: supervised fine-tuning with TRL SFTTrainer
Adapter: LoRA, rank 16, alpha 32, dropout 0.05
Optimizer: Muon
Base model: Qwen/Qwen3.5-9B

The adapter was trained for internal evaluation on the Typst Universe scrape.