Codegemma 1.1 7B It by google

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  Autotrain compatible   Conversational   Endpoints compatible   Gemma   Region:us   Safetensors   Sharded   Tensorflow

Codegemma 1.1 7B It Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Codegemma 1.1 7B It (google/codegemma-1.1-7b-it)

Codegemma 1.1 7B It Parameters and Internals

Model Type 
text-to-text, text-to-code, decoder-only
Use Cases 
Areas:
code completion, code generation, code conversation, code education
Primary Use Cases:
code completion with an IDE extension, conversation interfaces discussing code
Limitations:
inherent limitations of technology
Training Details 
Data Sources:
publicly available code repositories, open source mathematics datasets, synthetically generated code
Data Volume:
500 to 1000 billion tokens
Hardware Used:
Tensor Processing Unit (TPU)
Model Architecture:
text-to-text and text-to-code decoder-only
Safety Evaluation 
Methodologies:
structured evaluations, internal red-teaming testing
Risk Categories:
content safety, representational harms, cyber-offence capabilities
Input Output 
Input Format:
code prefix and/or suffix for code completion and generation scenarios, or natural language text or prompt
Output Format:
fill-in-the-middle code completion, code and natural language
LLM NameCodegemma 1.1 7B It
Repository ๐Ÿค—https://huggingface.co/google/codegemma-1.1-7b-it 
Model Size7b
Required VRAM17.1 GB
Updated2025-02-05
Maintainergoogle
Model Typegemma
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   2.1 GB: 4-of-4
Model ArchitectureGemmaForCausalLM
Licensegemma
Context Length8192
Model Max Length8192
Transformers Version4.40.1
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

Quantized Models of the Codegemma 1.1 7B It

Model
Likes
Downloads
VRAM
Codegemma 1.1 7B It 8bit2129 GB
Codegemma 1.1 7B It GPTQ147 GB
Codegemma 1.1 7B It 4bit184 GB
Codegemma 1.1 7B It AWQ057 GB

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Note: green Score (e.g. "73.2") means that the model is better than google/codegemma-1.1-7b-it.

Rank the Codegemma 1.1 7B It Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227