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Qwen2 1.5B ITA Instruct by e-palmisano

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  Autotrain compatible   Conversational Dataset:freedomintelligence/al...   Dataset:gsarti/clean mc4 it   En   Endpoints compatible   Instruct   It   Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/e-palmisano/Qwen2-1.5B-ITA-Instruct 

Qwen2 1.5B ITA Instruct Benchmarks

LLME Score: 0.25086
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2 1.5B ITA Instruct (e-palmisano/Qwen2-1.5B-ITA-Instruct)

Qwen2 1.5B ITA Instruct Parameters and Internals

Additional Notes 
Model has been fine-tuned to improve Italian language capabilities.
Supported Languages 
it (>improved), en (supported)
Training Details 
Data Sources:
gsarti/clean_mc4_it, FreedomIntelligence/alpaca-gpt4-italian
Data Volume:
100k rows from the gsarti/clean_mc4_it dataset
Methodology:
continuous pretraining mode of Unsloth; second fine-tuning on instructed dataset
LLM NameQwen2 1.5B ITA Instruct
Repository 🤗https://huggingface.co/e-palmisano/Qwen2-1.5B-ITA-Instruct 
Model Size1.5b
Required VRAM3.1 GB
Updated2025-01-22
Maintainere-palmisano
Model Typeqwen2
Instruction-BasedYes
Model Files  3.1 GB
Supported Languagesit en
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.42.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than e-palmisano/Qwen2-1.5B-ITA-Instruct.

Rank the Qwen2 1.5B ITA Instruct 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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