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Qwen2 1.5B It Chat by ehristoforu

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Qwen2 1.5B It Chat is an open-source language model by ehristoforu. Features: 1.5b LLM, VRAM: 3.1GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.14.

  4bit   Conversational   En   Endpoints compatible   Instruct   Pytorch   Quantized   Qwen2   Region:us   Safetensors   Sft   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/ehristoforu/Qwen2-1.5b-it-chat 

Qwen2 1.5B It Chat Benchmarks

LLME Score: 0.14478
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 (ehristoforu/Qwen2-1.5b-it-chat)
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Qwen2 1.5B It Chat Parameters and Internals

Model Type 
text-generation-inference
Additional Notes 
The model was trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameQwen2 1.5B It Chat
Repository 🤗https://huggingface.co/ehristoforu/Qwen2-1.5b-it-chat 
Base Model(s)  unsloth/qwen2-1.5b-instruct-bnb-4bit   unsloth/qwen2-1.5b-instruct-bnb-4bit
Model Size1.5b
Required VRAM3.1 GB
Updated2026-05-26
Maintainerehristoforu
Model Typeqwen2
Instruction-BasedYes
Model Files  3.1 GB   3.1 GB
Supported Languagesen
Quantization Type4bit
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.

Rank the Qwen2 1.5B It Chat 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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