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Gemma 7B GGUF by MaziyarPanahi

By MaziyarPanahi · 2116 downloads

Gemma 7B GGUF is an open-source language model by MaziyarPanahi. Features: 7b LLM, VRAM: 3.5GB, Quantized, LLM Explorer Score: 0.13.

  Arxiv:1705.03551   Arxiv:1804.06876   Arxiv:1804.09301   Arxiv:1809.02789   Arxiv:1811.00937   Arxiv:1904.09728   Arxiv:1905.07830   Arxiv:1905.10044   Arxiv:1907.10641   Arxiv:1911.01547   Arxiv:1911.11641   Arxiv:2009.03300   Arxiv:2009.11462   Arxiv:2101.11718   Arxiv:2107.03374   Arxiv:2108.07732   Arxiv:2109.07958   Arxiv:2110.08193   Arxiv:2110.14168   Arxiv:2203.09509   Arxiv:2206.04615   Arxiv:2304.06364   Arxiv:2305.14314   Arxiv:2312.11805   2-bit   3-bit   4-bit   5-bit   6-bit   8-bit   Autotrain compatible   Base model:google/gemma-7b Base model:quantized:google/ge...   Endpoints compatible   Gemma   Gguf   Has space   Mistral   Quantized   Region:us   Safetensors

Gemma 7B GGUF Parameters and Internals

Model Type 
text-generation
Additional Notes 
Gemma-7b-GGUF is a quantized model using GGUF format, created by quantization methods labeled as GGML_TYPE_Q2_K, GGML_TYPE_Q3_K, GGML_TYPE_Q4_K, GGML_TYPE_Q5_K, and GGML_TYPE_Q6_K. It is a derivative of google/gemma-7b, focusing on optimizing text-generation tasks.
LLM NameGemma 7B GGUF
Repository πŸ€—https://huggingface.co/MaziyarPanahi/gemma-7b-GGUF 
Model Namegemma-7b-GGUF
Model Creatorgoogle
Base Model(s)  Gemma 7B   google/gemma-7b
Model Size7b
Required VRAM3.5 GB
Updated2026-08-03
MaintainerMaziyarPanahi
Model Typemistral
Model Files  3.5 GB   4.7 GB   4.4 GB   4.0 GB   5.3 GB   5.0 GB   6.1 GB   6.0 GB   7.0 GB   9.1 GB   17.1 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel

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Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/gemma-7b-GGUF.