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Qwen2 72B Instruct Bnb 4bit by unsloth

 »  All LLMs  »  unsloth  »  Qwen2 72B Instruct Bnb 4bit   URL Share it on

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  4-bit   4bit   Autotrain compatible   Bitsandbytes   Conversational   En   Endpoints compatible   Instruct   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/unsloth/Qwen2-72B-Instruct-bnb-4bit 

Qwen2 72B Instruct Bnb 4bit Benchmarks

LLME Score: 0.21935
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2 72B Instruct Bnb 4bit (unsloth/Qwen2-72B-Instruct-bnb-4bit)

Qwen2 72B Instruct Bnb 4bit Parameters and Internals

Model Type 
transformers
Additional Notes 
The model can be fine-tuned using Google Colab with Tesla T4 for different versions like Qwen2 7b, Qwen2 0.5b, and Qwen2 1.5b. This finetuning can be done faster and with less memory usage using Unsloth.
LLM NameQwen2 72B Instruct Bnb 4bit
Repository 🤗https://huggingface.co/unsloth/Qwen2-72B-Instruct-bnb-4bit 
Model Size72b
Required VRAM41.2 GB
Updated2024-12-21
Maintainerunsloth
Model Typeqwen2
Instruction-BasedYes
Model Files  6.9 GB: 1-of-6   7.0 GB: 2-of-6   6.9 GB: 3-of-6   6.9 GB: 4-of-6   7.0 GB: 5-of-6   6.5 GB: 6-of-6
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.44.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen2-72B-Instruct-bnb-4bit.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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