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Qwen2 1.5B It Chat Sp by ehristoforu

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  Autotrain compatible 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 

Qwen2 1.5B It Chat Sp Benchmarks

LLME Score: 0.20999
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 (ehristoforu/Qwen2-1.5b-it-chat-sp)

Qwen2 1.5B It Chat Sp 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
Repository 🤗https://huggingface.co/ehristoforu/Qwen2-1.5b-it-chat-sp 
Base Model(s)  ehristoforu/Qwen2-1.5b-it-chat   ehristoforu/Qwen2-1.5b-it-chat
Model Size1.5b
Required VRAM3.1 GB
Updated2025-01-28
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.

Rank the Qwen2 1.5B It Chat Sp 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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