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Qwen2 7B Bnb 4bit by unsloth

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Qwen2 7B Bnb 4bit Benchmarks

LLME Score: 0.23849
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Qwen2 7B 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 7B Bnb 4bit
Repository 🤗https://huggingface.co/unsloth/Qwen2-7B-bnb-4bit 
Model Size7b
Required VRAM5.5 GB
Updated2024-11-22
Maintainerunsloth
Model Typeqwen2
Model Files  5.5 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.44.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace
Qwen2 7B Bnb 4bit (unsloth/Qwen2-7B-bnb-4bit)

Quantized Models of the Qwen2 7B Bnb 4bit

Model
Likes
Downloads
VRAM
Finance Qa Model0104 GB
... WAEMU Africa Banking Analysis12815 GB
Qwen2 7B Tofutune Gguf0104 GB
Qwen2 7B Alpacha Q8 00219 GB
Qwen2 7B Alpacha Merged 4bit0175 GB
Qwen2 7B Alpacha 16bit GGUF01617 GB
Qwen2 7B Alpacha Q4 K M GGUF065 GB
Qwen2 7B Alpacha Merged 16bit0515 GB

Best Alternatives to Qwen2 7B Bnb 4bit

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 7B Bnb 4bit128K / 5.5 GB182191
Sejong Qwen Test V3128K / 15.2 GB291
Krx Q25 7B Sft V4128K / 15.2 GB540
Sejong Qwen V1128K / 15.2 GB1701
Krx Q25 7B Base V3128K / 15.2 GB1330
Krx Q25 7B Base V3.1128K / 15.2 GB1160
Krx Q25 7B Base V2.1128K / 15.2 GB1230
Krx Q25 7B Base V2128K / 15.2 GB880
Sejong Qwen V5128K / 15.2 GB322
T14Model4bit128K / 5.6 GB1390
Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen2-7B-bnb-4bit.

Rank the Qwen2 7B Bnb 4bit Capabilities

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110
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