PiSSA Qwen2 7B Instruct 4bit R128 5iter by fxmeng

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  Arxiv:1910.09700   4-bit   4bit   Autotrain compatible   Bitsandbytes   Conversational   Endpoints compatible   Instruct   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

PiSSA Qwen2 7B Instruct 4bit R128 5iter Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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PiSSA Qwen2 7B Instruct 4bit R128 5iter Parameters and Internals

LLM NamePiSSA Qwen2 7B Instruct 4bit R128 5iter
Repository ๐Ÿค—https://huggingface.co/fxmeng/PiSSA-Qwen2-7B-Instruct-4bit-r128-5iter 
Model Size7b
Required VRAM5.9 GB
Updated2025-06-09
Maintainerfxmeng
Model Typeqwen2
Instruction-BasedYes
Model Files  4.8 GB: 1-of-2   1.1 GB: 2-of-2
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.40.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace
PiSSA Qwen2 7B Instruct 4bit R128 5iter (fxmeng/PiSSA-Qwen2-7B-Instruct-4bit-r128-5iter)

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Note: green Score (e.g. "73.2") means that the model is better than fxmeng/PiSSA-Qwen2-7B-Instruct-4bit-r128-5iter.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124