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Q25 1.5B VeoLu by Alfitaria

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Q25 1.5B VeoLu is an open-source language model by Alfitaria. Features: 1.5b LLM, VRAM: 3.5GB, Context: 32K, Quantized, Instruction-Based, Merged, LLM Explorer Score: 0.16.

  Merged Model Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-1.5b-i...   Conversational Dataset:alignment-lab-ai/orcam... Dataset:allura-org/fujin-clean... Dataset:allura-org/medquad sha... Dataset:allura-org/scienceqa s... Dataset:dampfinchen/creative w... Dataset:toastypigeon/springdra...   Instruct   Llama-factory   Lora   Peft   Q25   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Alfitaria/Q25-1.5B-VeoLu 

Q25 1.5B VeoLu Benchmarks

LLME Score: 0.15914
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Q25 1.5B VeoLu (Alfitaria/Q25-1.5B-VeoLu)
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Q25 1.5B VeoLu Parameters and Internals

LLM NameQ25 1.5B VeoLu
Repository 🤗https://huggingface.co/Alfitaria/Q25-1.5B-VeoLu 
Base Model(s)  Qwen/Qwen2.5-1.5B-Instruct   Qwen/Qwen2.5-1.5B-Instruct
Merged ModelYes
Model Size1.5b
Required VRAM3.5 GB
Updated2026-04-21
MaintainerAlfitaria
Model Typeqwen2
Instruction-BasedYes
Model Files  3.5 GB: 1-of-1
Quantization Typeq25
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.42.4
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
LoRA ModelYes
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Alfitaria/Q25-1.5B-VeoLu.

Rank the Q25 1.5B VeoLu Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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