Skip to page content
SAVRN
Search Plan a project

Open-weight model

ir2026-agent-lora-weights

by Rulan arlisgreat/ir2026-agent-lora-weights

ir2026-agent-lora-weights is an open-weight model from Rulan, released under Apache License 2.0. Its published files total 574.5 MB.

本仓库为 IR2026 课程大作业加分项二训练的 LoRA 适配器,基座 Qwen/Qwen3-4B-Instruct-2507。 - qwen34bagentloraadapter - qwen34bagentlorar2adapter - qwen34bagentloraemadapter - qwen34bagentlorav2adapter 说明:本组 SFT 实验为负结果(训练后 dev Hit@10 由 0.32 降至 0.28/0.24,未提升)。 代码、数据与完整分析见 (sft/ 与…

Parameters—
Context—
Weights528.8 MB
Licenseapache-2.0
AccessOpen weights
Monthly Downloads—

Model Card

By Rulan, published under apache-2.0, revision d20bfca81576.

本仓库为 IR2026 课程大作业加分项二训练的 LoRA 适配器,基座 Qwen/Qwen3-4B-Instruct-2507。 - qwen34bagentloraadapter - qwen34bagentlorar2adapter - qwen34bagentloraemadapter - qwen34bagentlorav2adapter 说明:本组 SFT 实验为负结果(训练后 dev Hit@10 由 0.32 降至 0.28/0.24,未提升)。 代码、数据与完整分析见 (sft/ 与 report/REPORT.md §8)。

Read Rulan's full model card

IR2026 Agent LoRA 权重

本仓库为 IR2026 课程大作业加分项二训练的 LoRA 适配器,基座 Qwen/Qwen3-4B-Instruct-2507。

  • qwen3_4b_agent_lora_adapter
  • qwen3_4b_agent_lora_r2_adapter
  • qwen3_4b_agent_lora_em_adapter
  • qwen3_4b_agent_lora_v2_adapter

说明:本组 SFT 实验为负结果(训练后 dev Hit@10 由 0.32 降至 0.28/0.24,未提升)。 代码、数据与完整分析见 https://github.com/arlisgreat/IR2026(sft/ 与 report/REPORT.md §8)。

Identity and Version

Repository
arlisgreat/ir2026-agent-lora-weights
Publisher
Rulan
Task
Not stated by the source
Modality
Other
Library
Not stated by the source
Parameters
Not stated by the source
Languages
Not stated by the source
Revision
d20bfca8157601ce7a51baa5207c93892f635cf0
First published
2026-10-16
Last updated
2026-10-16

Files and Weights

26 files, 574.5 MB in total. The weights are 4 files totalling 528.8 MB in safetensors.

Weights4 files · 528.8 MB
Configuration4 files · 5.0 KB
Tokenizer8 files · 45.7 MB
Documentation5 files · 21.6 KB
Other4 files · 10.5 KB
Repository1 file · 1.8 KB
Every file
FileTypeSizeSHA-256
qwen3_4b_agent_lora_adapter/adapter_model.safetensorsWeights132.2 MB 03e5a13edae3
qwen3_4b_agent_lora_em_adapter/adapter_model.safetensorsWeights132.2 MB 3bf5874960aa
qwen3_4b_agent_lora_r2_adapter/adapter_model.safetensorsWeights132.2 MB 1c22c50cca09
qwen3_4b_agent_lora_v2_adapter/adapter_model.safetensorsWeights132.2 MB 4e71e35f8d67
qwen3_4b_agent_lora_adapter/adapter_config.jsonConfiguration1.2 KB —
qwen3_4b_agent_lora_em_adapter/adapter_config.jsonConfiguration1.2 KB —
qwen3_4b_agent_lora_r2_adapter/adapter_config.jsonConfiguration1.2 KB —
qwen3_4b_agent_lora_v2_adapter/adapter_config.jsonConfiguration1.2 KB —
README.mdDocumentation533 B —
qwen3_4b_agent_lora_adapter/README.mdDocumentation5.3 KB —
qwen3_4b_agent_lora_em_adapter/README.mdDocumentation5.3 KB —
qwen3_4b_agent_lora_r2_adapter/README.mdDocumentation5.3 KB —
qwen3_4b_agent_lora_v2_adapter/README.mdDocumentation5.3 KB —
qwen3_4b_agent_lora_adapter/chat_template.jinjaOther2.6 KB —
qwen3_4b_agent_lora_em_adapter/chat_template.jinjaOther2.6 KB —
qwen3_4b_agent_lora_r2_adapter/chat_template.jinjaOther2.6 KB —
qwen3_4b_agent_lora_v2_adapter/chat_template.jinjaOther2.6 KB —
.gitattributesRepository1.8 KB —
qwen3_4b_agent_lora_adapter/tokenizer.jsonTokenizer11.4 MB be75606093db
qwen3_4b_agent_lora_adapter/tokenizer_config.jsonTokenizer694 B —
qwen3_4b_agent_lora_em_adapter/tokenizer.jsonTokenizer11.4 MB be75606093db
qwen3_4b_agent_lora_em_adapter/tokenizer_config.jsonTokenizer694 B —
qwen3_4b_agent_lora_r2_adapter/tokenizer.jsonTokenizer11.4 MB be75606093db
qwen3_4b_agent_lora_r2_adapter/tokenizer_config.jsonTokenizer694 B —
qwen3_4b_agent_lora_v2_adapter/tokenizer.jsonTokenizer11.4 MB be75606093db
qwen3_4b_agent_lora_v2_adapter/tokenizer_config.jsonTokenizer694 B —

License and Download

License
apache-2.0
Access
Open weights, no gate
Download size
528.8 MB
Download from Rulan

Released by Rulan through its official repository on Hugging Face. Read the license.

Memory Requirements

PrecisionWeights in memory
As published528.8 MB

Weights only, from the published parameter count; the key-value cache and runtime add to this.

Questions About ir2026-agent-lora-weights

Can I use ir2026-agent-lora-weights commercially?

Yes. ir2026-agent-lora-weights is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.