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Leniachat Qwen2 1.5B V0 by LenguajeNaturalAI

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Leniachat Qwen2 1.5B V0 is an open-source language model by LenguajeNaturalAI. Features: 1.5b LLM, VRAM: 3.1GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.17.

Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2-1.5b   Chat   Conversational   Deploy:azure   Endpoints compatible   Es   Instruct   Multi-task-learning   Qa   Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/LenguajeNaturalAI/leniachat-qwen2-1.5B-v0 

Leniachat Qwen2 1.5B V0 Benchmarks

MMLU Pro: 9.78
GPQA: 1.57
MUSR: 3.87
BBH: 12.77
IFEval: 22.21 vs 88 (so35)-74.8%
MATH Lvl 5: 1.28
LLME Score: 0.16757
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Leniachat Qwen2 1.5B V0 (LenguajeNaturalAI/leniachat-qwen2-1.5B-v0)
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Leniachat Qwen2 1.5B V0 Parameters and Internals

Model Type 
text generation, chat, question answering, multi-task-learning, instruction tuning
Use Cases 
Areas:
text generation, chatbots, virtual assistants
Limitations:
1.5B parameters may limit some capabilities
Supported Languages 
Spanish (Fluent)
Training Details 
Data Sources:
Spanish instruction datasets, Chat and abstractive QA datasets
Methodology:
FLAN-style training,Fine-tuning
Context Length:
32768
Model Architecture:
Qwen2
LLM NameLeniachat Qwen2 1.5B V0
Repository 🤗https://huggingface.co/LenguajeNaturalAI/leniachat-qwen2-1.5B-v0 
Base Model(s)  Qwen/Qwen2-1.5B   Qwen/Qwen2-1.5B
Model Size1.5b
Required VRAM3.1 GB
Updated2026-03-29
MaintainerLenguajeNaturalAI
Model Typeqwen2
Instruction-BasedYes
Model Files  3.1 GB
Supported Languageses
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151646
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than LenguajeNaturalAI/leniachat-qwen2-1.5B-v0.

Rank the Leniachat Qwen2 1.5B V0 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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