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Qwen2 1.5B It Chat Sp Ru Bel Arm Ger Fin Tur Per Ko by ehristoforu

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Qwen2 1.5B It Chat Sp Ru Bel Arm Ger Fin Tur Per Ko is an open-source language model by ehristoforu. Features: 1.5b LLM, VRAM: 3.1GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.15.

Base model:ehristoforu/qwen2-1... Base model:finetune:ehristofor...   Conversational   En   Endpoints compatible   Pytorch   Qwen2   Region:us   Sft   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/ehristoforu/Qwen2-1.5b-it-chat-sp-ru-bel-arm-ger-fin-tur-per-ko 

Qwen2 1.5B It Chat Sp Ru Bel Arm Ger Fin Tur Per Ko Benchmarks

LLME Score: 0.14539
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 It Chat Sp Ru Bel Arm Ger Fin Tur Per Ko (ehristoforu/Qwen2-1.5b-it-chat-sp-ru-bel-arm-ger-fin-tur-per-ko)
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Qwen2 1.5B It Chat Sp Ru Bel Arm Ger Fin Tur Per Ko Parameters and Internals

Model Type 
text generation, inference
Additional Notes 
This model was trained 2x faster with Unsloth.
Training Details 
Methodology:
Used Unsloth and Huggingface's TRL library
Training Time:
2x faster with Unsloth
LLM NameQwen2 1.5B It Chat Sp Ru Bel Arm Ger Fin Tur Per Ko
Repository 🤗https://huggingface.co/ehristoforu/Qwen2-1.5b-it-chat-sp-ru-bel-arm-ger-fin-tur-per-ko 
Base Model(s)  ehristoforu/Qwen2-1.5b-it-chat-sp-ru-bel-arm-ger-fin-tur-per   ehristoforu/Qwen2-1.5b-it-chat-sp-ru-bel-arm-ger-fin-tur-per
Model Size1.5b
Required VRAM3.1 GB
Updated2026-05-14
Maintainerehristoforu
Model Typeqwen2
Model Files  3.1 GB
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.44.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than ehristoforu/Qwen2-1.5b-it-chat-sp-ru-bel-arm-ger-fin-tur-per-ko.

Rank the Qwen2 1.5B It Chat Sp Ru Bel Arm Ger Fin Tur Per Ko 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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