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qwen3-32b-multilingual-rag-lora-n7
lananhyeuem/qwen3-32b-multilingual-rag-lora-n7
qwen3-32b-multilingual-rag-lora-n7 is a text generation model from lananhyeuem. Use it when you need the model to write or continue text. It is set up for peft. The card lists the license as apache-2.0.
Multilingual retrieval-augmented LoRA adapter fine-tuned on Qwen/Qwen3-32B with LlamaFactory.
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At a glance
- Task
- Text Generation
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Jul 15, 2026
- Updated
- Jul 16, 2026
- SHA
- f1c5862c
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Base models
Model card
From the Hugging Face model README
qwen3-32b-multilingual-rag-lora-n7
Multilingual retrieval-augmented LoRA adapter fine-tuned on Qwen/Qwen3-32B
with LlamaFactory.
The adapter is trained to answer questions grounded in retrieved evidence, with
N=7 in-context exemplars attached as <priors> blocks on top of k=3
dense-retrieval evidence passages (multilingual e5 retriever).
- Base model:
Qwen/Qwen3-32B - In-context depth: N=7
Inference (vLLM)
from vllm import LLM, SamplingParams
from vllm.lora.request import LoRARequest
llm = LLM(model="Qwen/Qwen3-32B", enable_lora=True, max_lora_rank=128,
trust_remote_code=True, dtype="bfloat16")
sp = SamplingParams(temperature=0.0, max_tokens=512)
out = llm.generate(prompts, sp,
lora_request=LoRARequest("a", 1, "<local path to this adapter>"))
- Task
- Text Generation
- Library
- peft
- License
- apache-2.0
- Created
- Jul 15, 2026
- Updated
- Jul 16, 2026