Test Unsloth by pashaprokaz

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  4-bit   4bit   Autotrain compatible Base model:quantized:unsloth/q... Base model:unsloth/qwen2-7b-in...   Bitsandbytes   Conversational   En   Endpoints compatible   Instruct   Quantized   Qwen2   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth

Test Unsloth Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Test Unsloth (pashaprokaz/test_unsloth)

Test Unsloth Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, qwen2, trl, sft
Additional Notes 
The qwen2 model was trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameTest Unsloth
Repository ๐Ÿค—https://huggingface.co/pashaprokaz/test_unsloth 
Base Model(s)  Qwen2 7B Instruct Bnb 4bit   unsloth/Qwen2-7B-Instruct-bnb-4bit
Model Size7b
Required VRAM5.6 GB
Updated2025-01-12
Maintainerpashaprokaz
Model Typeqwen2
Instruction-BasedYes
Model Files  4.5 GB: 1-of-2   1.1 GB: 2-of-2
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than pashaprokaz/test_unsloth.

Rank the Test Unsloth Capabilities

๐Ÿ†˜ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐ŸŒŸ

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