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Codegemma 1.1 7B It GPTQ by TechxGenus

 »  All LLMs  »  TechxGenus  »  Codegemma 1.1 7B It GPTQ   URL Share it on

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  4-bit   Autotrain compatible   Endpoints compatible   Gemma   Gptq   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TechxGenus/codegemma-1.1-7b-it-GPTQ 

Codegemma 1.1 7B It GPTQ Benchmarks

LLME Score: 0.14958
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 GPTQ (TechxGenus/codegemma-1.1-7b-it-GPTQ)
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Codegemma 1.1 7B It GPTQ Parameters and Internals

Model Type 
text-to-text, text-to-code, decoder-only
Use Cases 
Areas:
code completion, code generation, code conversation, code education
Applications:
IDE integration, Conversational interfaces
Primary Use Cases:
Code fragments question answering, Natural language to code generation
Limitations:
LLM inherent limitations
Considerations:
Users should follow safety and ethical guidelines outlined by Google AI.
Additional Notes 
CodeGemma models build on the successful Gemma model with specialized training for text-to-code tasks.
Supported Languages 
English (high)
Training Details 
Data Sources:
publicly available code repositories, open source mathematics datasets, synthetically generated code
Data Volume:
500 to 1000 billion tokens
Methodology:
Further trained variants including FIM (Fill-In-The-Middle) techniques
Hardware Used:
TPUv5e
Model Architecture:
CodeGemma models are built on top of Gemma
Safety Evaluation 
Methodologies:
human evaluation, cyber-offense testing, red-teaming
Findings:
Within acceptable thresholds for meeting internal policies
Risk Categories:
child safety, content safety, representational harms, memorization, large-scale harms
Ethical Considerations:
Evaluation of ethical considerations in line with Google AI Principles
Responsible Ai Considerations 
Mitigation Strategies:
Implemented rigorous safety filtering and evaluation processes.
Input Output 
Input Format:
code prefix/suffix or natural language text
Accepted Modalities:
text
Output Format:
code and natural language text
LLM NameCodegemma 1.1 7B It GPTQ
Repository 🤗https://huggingface.co/TechxGenus/codegemma-1.1-7b-it-GPTQ 
Base Model(s)  google/codegemma-1.1-7b-it   google/codegemma-1.1-7b-it
Model Size7b
Required VRAM7.2 GB
Updated2025-10-09
MaintainerTechxGenus
Model Typegemma
Model Files  7.2 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureGemmaForCausalLM
Licensegemma
Context Length8192
Model Max Length8192
Transformers Version4.40.0
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typefloat16

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

Rank the Codegemma 1.1 7B It GPTQ 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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