Qwen Story Test Qlora by ToastyPigeon

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Qwen Story Test Qlora is an open-source language model by ToastyPigeon. Features: 14b LLM, VRAM: 1.1GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.17.

  4-bit   Adapter   Axolotl Base model:adapter:qwen/qwen2.... Base model:qwen/qwen2.5-14b-in...   Bitsandbytes Dataset:toastypigeon/some-stor...   Finetuned   Generated from trainer   Instruct   Lora   Peft   Qwen2   Region:us   Safetensors

Qwen Story Test Qlora Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Qwen Story Test Qlora Parameters and Internals

LLM NameQwen Story Test Qlora
Repository 🤗https://huggingface.co/ToastyPigeon/qwen-story-test-qlora 
Base Model(s)  Qwen/Qwen2.5-14B-Instruct   Qwen/Qwen2.5-14B-Instruct
Model Size14b
Required VRAM1.1 GB
Updated2026-05-26
MaintainerToastyPigeon
Instruction-BasedYes
Model Files  1.1 GB   0.0 GB
Model ArchitectureAdapter
Licenseapache-2.0
Model Max Length131072
Is Biasednone
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesdown_proj|up_proj|v_proj|q_proj|k_proj|gate_proj|o_proj
LoRA Alpha32
LoRA Dropout0.125
R Param64
Errorsreplace

Rank the Qwen Story Test Qlora Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20260328a