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Qwen2 7B Alpacha Merged 4bit by dbands

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  Merged Model   4-bit   4bit   Autotrain compatible Base model:quantized:unsloth/q... Base model:unsloth/qwen2-7b-bn...   Bitsandbytes   Conversational   En   Endpoints compatible   Quantized   Qwen2   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/dbands/Qwen2-7b-Alpacha-merged_4bit 

Qwen2 7B Alpacha Merged 4bit Benchmarks

LLME Score: 0.19171
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2 7B Alpacha Merged 4bit (dbands/Qwen2-7b-Alpacha-merged_4bit)

Qwen2 7B Alpacha Merged 4bit 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 NameQwen2 7B Alpacha Merged 4bit
Repository 🤗https://huggingface.co/dbands/Qwen2-7b-Alpacha-merged_4bit 
Base Model(s)  Qwen2 7B Bnb 4bit   unsloth/Qwen2-7B-bnb-4bit
Merged ModelYes
Model Size7b
Required VRAM5.6 GB
Updated2025-02-22
Maintainerdbands
Model Typeqwen2
Model Files  4.5 GB: 1-of-2   1.1 GB: 2-of-2
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.41.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than dbands/Qwen2-7b-Alpacha-merged_4bit.

Rank the Qwen2 7B Alpacha Merged 4bit 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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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