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google/gemma-2-9b

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Ai Model

google/gemma-2-9b

Hugging Face

Package Version Scores

Overall
8
/10
Security
10
Activity
9
Popularity
8
Quality
5
All Factors
Security
Activity
Popularity
Quality
Quality
Pull Requests from Bots
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Quality
Pull Requests from Bots
Pull requests from bot accounts indicate that the project is using automation for development tasks.

Model Metadata

Model Size:
Tensor Type:
Author:
google
Last Modified:
Created:
Requires Authentication:
false
Gated:
true
Downloads:
38449
Library:
transformers
Likes:
694
Spaces Using Model:
pliny-the-prompter/obliteratus, dhlak/llm-vram-calc, eduagarcia/open_pt_llm_leaderboard, KBaba7/Quant, gen6scp/sana-zero, CZLC/BenCzechMark-faulty_space, FallnAI/Quantize-HF-Models, bhaskartripathi/LLM_Quantization, phyloforfun/VoucherVision, openfree/LLM_Quantization, HeshamHaroon/Arabic_Tokenizer, ruslanmv/convert_to_gguf, XufengDuan/HumanLikeness, lucalp/blt-entropy-patcher, seawolf2357/LLM_Quantization, HathoraResearch/LLM-KV-cache-calculator, Karzan/google-gemma-2-9b, totolook/Quant, zentropi-ai/cope-demo, saikub/chatB, Ffftdtd5dtft/gfgf, K00B404/LLM_Quantization, CZLC/BenCzechMark, pavel321/huggingface-cli-completion, Steven10429/apply_lora_and_quantize, Livengood/Instance-VRAM-Calculator, ali121300/mistral-PDF-chat_B5, afccacador/llama3-chatbot, Masterdqqq/google-gemma-2-9b, TigeryWFan/AyyyI, ashmib/green-city-finder, emilalvaro/google-gemma-2-9b, pugalkmc/google-gemma-2-9b, muratgumus/Llm_Deployment_Test, Oss11/Quantize-HF-Models, Xlnk/Quantize-HF-Models, exploitz3r0bbd/Quantize-HF-Models, Prgckwb/tokenvisor, faridgho/google-gemma-2-9b, aitek2487/google-gemma-2-9b, MasterDee/google-gemma-2-9b, seepine/google-gemma-2-9b, ximinhan/google-gemma-2b, itssenvixity/google-gemma-2-9b, flkli/waterkant2024, meeksousant/google-gemma-2-9b, matthewlieb/google-gemma-2-9b, balaji12/google-gemma-2-9b, kusumakalyan/blackfox, sagarayapillaril/google-gemma-2-9b, menezes-nathan/google-gemma-2-9b, ndwdgda/ETHEREUM, Nagorik11/google-gemma-2-9b, whatuser/google-gemma-2-9b, atsnamba/google-gemma-2-9b, pratikshahp/rag-chroma, infinitenow/google-gemma-2-9b, ambarrlite/google-gemma-2-9b, pratikshahp/RAG-Chroma-Gradio, Payknayk/google-gemma-2-9b, hlub/google-gemma-2-9b, SAURAV9365/google-gemma-2-9b, premsigths/google-gemma-2-9b, ImpactInsights/Exploring, inflaton-ai/logical-reasoning, XuemeiTang/Humanlike_Evaluation, Wiraphong/google-gemma-2-9b, Ffftdtd5dtft/Hhhggv, Ffftdtd5dtft/Hhhhh, Ffftdtd5dtft/Hhhhhhhhv, Ffftdtd5dtft/Gggffx, Uhhy/Temp_fnnn, CZLC/BenCzechMark-unstable, venkeydev/google-gemma-2-9b, Yhhxhfh/chat-test, Yhhxhfh/Gxhhfhdhd, allen20242050/google-gemma-2-9b, MetekTech/google-gemma-2-9b, MetekTech-Main/google-gemma-2-9b, santiagodm/portaifolio, DanofficeIT/privatellm, Arrcttacsrks/Chat_X, Mat17892/iris, iamboolean/set50-rag, xiiixviiixi/google-gemma-2-9b, msun415/Llamole, YZ-TAN/flask-llama, KBaba7/llama.cpp, Swarmeta-AI/Twig-V0-Alpha-Demo-CPU, LiamNguyenNOR/norwai2, zhuhai111/sana-cpu, K00B404/convert_to_gguf, abmSS/google-gemma-2-9b, GXSNetwork/AIEcoprint, MAS-AI-0000/Authentica, MCP-1st-Birthday/Hivenet_ComputeAgent, Crovia/omission-oracle, GTOMA83/Quantize-HF-Models
Tags:
transformers, safetensors, gemma2, text-generation, arxiv:2009.03300, arxiv:1905.07830, arxiv:1911.11641, arxiv:1904.09728, arxiv:1905.10044, arxiv:1907.10641, arxiv:1811.00937, arxiv:1809.02789, arxiv:1911.01547, arxiv:1705.03551, arxiv:2107.03374, arxiv:2108.07732, arxiv:2110.14168, arxiv:2009.11462, arxiv:2101.11718, arxiv:2110.08193, arxiv:1804.09301, arxiv:2109.07958, arxiv:1804.06876, arxiv:2103.03874, arxiv:2304.06364, arxiv:2206.04615, arxiv:2203.09509, license:gemma, text-generation-inference, endpoints_compatible, region:us

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gemma

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