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Qwen2.5 1.5B Instruct by unsloth

 »  All LLMs  »  unsloth  »  Qwen2.5 1.5B Instruct   URL Share it on

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  Arxiv:2407.10671   Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-1.5b-i...   Conversational   En   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Unsloth
Model Card on HF 🤗: https://huggingface.co/unsloth/Qwen2.5-1.5B-Instruct 

Qwen2.5 1.5B Instruct Benchmarks

LLME Score: 0.29077
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 1.5B Instruct (unsloth/Qwen2.5-1.5B-Instruct)

Qwen2.5 1.5B Instruct Parameters and Internals

Model Type 
Causal Language Models
Additional Notes 
Significant improvements in knowledge, coding, mathematics, and instruction following abilities. Multilingual support for more than 29 languages. Long-context support up to 128K tokens, generating up to 8K tokens. Robust against diverse system prompts, enhancing chatbot capabilities.
Supported Languages 
English (Fluent), Chinese (Fluent), French (Fluent), Spanish (Fluent), Portuguese (Fluent), German (Fluent), Italian (Fluent), Russian (Fluent), Japanese (Fluent), Korean (Fluent), Vietnamese (Fluent), Thai (Fluent), Arabic (Fluent)
Training Details 
Context Length:
32768
Model Architecture:
Transformers with RoPE, SwiGLU, RMSNorm, Attention QKV bias and tied word embeddings
Input Output 
Input Format:
Structured input using predefined roles in JSON format
Accepted Modalities:
text
Output Format:
JSON
LLM NameQwen2.5 1.5B Instruct
Repository 🤗https://huggingface.co/unsloth/Qwen2.5-1.5B-Instruct 
Base Model(s)  Qwen/Qwen2.5-1.5B-Instruct   Qwen/Qwen2.5-1.5B-Instruct
Model Size1.5b
Required VRAM3.1 GB
Updated2024-12-30
Maintainerunsloth
Model Typeqwen2
Instruction-BasedYes
Model Files  3.1 GB
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.44.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen2.5-1.5B-Instruct.

Rank the Qwen2.5 1.5B 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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Release v20241227
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