LLM EXPLORER 60,783 MODELS INDEXED

Gemma 2 9B It by google

By google · 323635 downloads
HF Repo ↗ Copy URL

Gemma 2 9B It is an open-source language model by google. Features: 9b LLM, VRAM: 18.6GB, Context: 8K, License: gemma, LLM Explorer Score: 0.34.

  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:2103.03874   Arxiv:2107.03374   Arxiv:2108.07732   Arxiv:2109.07958   Arxiv:2110.08193   Arxiv:2110.14168   Arxiv:2203.09509   Arxiv:2206.04615   Arxiv:2304.06364 Base model:finetune:google/gem...   Base model:google/gemma-2-9b   Conversational   Endpoints compatible   Eval-results   Gemma2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/google/gemma-2-9b-it 

Gemma 2 9B It Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
Research, Commercial applications
Applications:
Content Creation, Communication, Chatbots, Conversational AI, Text Summarization, NLP Research, Language Learning Tools, Knowledge Exploration
Primary Use Cases:
Text Generation
Limitations:
Bias in training data, Context and task complexity, Language ambiguity and nuance, Factual inaccuracy, Lack of common sense
Considerations:
Aware of potential biases and misuse.
Supported Languages 
English (high proficiency)
Training Details 
Data Sources:
Web Documents, Code, Mathematics
Data Volume:
8 trillion tokens for the 9B model
Hardware Used:
Tensor Processing Unit (TPU)
Model Architecture:
text-to-text, decoder-only large language model
Safety Evaluation 
Methodologies:
structured evaluations, internal red-teaming testing
Risk Categories:
Text-to-Text Content Safety, Representational Harms, Memorization, Large-scale harm
Ethical Considerations:
Met acceptable thresholds for safety.
Responsible Ai Considerations 
Fairness:
Efforts to address biases through curriculum and evaluation.
Transparency:
Model card provides details on architecture, capabilities, limitations, and evaluation processes.
Accountability:
Google
Mitigation Strategies:
Continuous monitoring, de-biasing techniques, guidelines for responsible use.
Input Output 
Input Format:
Text string
Accepted Modalities:
text
Output Format:
Generated English-language text
Performance Tips:
Use appropriate prompts for improved context.
LLM NameGemma 2 9B It
Repository 🤗https://huggingface.co/google/gemma-2-9b-it 
Base Model(s)  Gemma 2 9B   google/gemma-2-9b
Model Size9b
Required VRAM18.6 GB
Updated2026-07-18
Maintainergoogle
Model Typegemma2
Model Files  4.9 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   3.7 GB: 4-of-4
Model ArchitectureGemma2ForCausalLM
Licensegemma
Context Length8192
Model Max Length8192
Transformers Version4.42.0.dev0
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

Quantized Models of the Gemma 2 9B It

Model
Likes
Downloads
VRAM
Gemma 2 9B It AWQ INT491772326 GB
Gemma 2 9B It Bnb 4bit32130076 GB
... Russian Function Calling GGUF30161918 GB
Gemma 2 9B It GGUF45283 GB
Gemma 2 9B It GGUF02943 GB
Gemma 2 9B Instruct 4Bit GPTQ3126 GB
Gemma 2 9B It Bnb 4bit056 GB

Best Alternatives to Gemma 2 9B It

Best Alternatives
Context / RAM
Downloads
Likes
G2 GSHT 32K32K / 20.4 GB81
SystemGemma2 9B It32K / 18.6 GB52
Gemma 2 9B It8K / 18.6 GB8075711
GWQ 9B Preview28K / 18.6 GB1110
Gemma 2 9B It8K / 18.6 GB60
Gemma 2 9B It SimPO8K / 18.6 GB473173
Gemma 2 9B It Blend Rebase8K / 20.4 GB50
Gemma 2 9B8K / 37.1 GB95888717
Gemma 2 9B JEE Socratic Final8K / 18.6 GB11180
Gemma 2 9B It Advanced V2.18K / 20.4 GB10030
Note: green Score (e.g. "73.2") means that the model is better than google/gemma-2-9b-it.