Codegemma 1.1 7B It AWQ by TechxGenus

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  4-bit   Autotrain compatible   Awq   Endpoints compatible   Gemma   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Codegemma 1.1 7B It AWQ 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 AWQ (TechxGenus/codegemma-1.1-7b-it-AWQ)

Codegemma 1.1 7B It AWQ Parameters and Internals

Model Type 
text-to-code, text-to-text, code completion, code generation, instruction following, chat
Use Cases 
Areas:
Research, Development, Education
Applications:
Code Completion, Code Generation, Code Conversation, Code Education
Primary Use Cases:
IDE code completion, Code chat applications, Interactive learning
Limitations:
Training data limitations, Inherent limitations of LLMs
Additional Notes 
Model implements rigorous safety filtering.
Supported Languages 
Primary Language (English), Code Languages (C++, C#, Go, Java, JavaScript, Kotlin, Python, Rust)
Training Details 
Data Sources:
Public code repositories, Open source mathematics datasets, Synthetically generated code
Data Volume:
500 to 1000 billion tokens
Methodology:
FIM Pretrained
Hardware Used:
TPUv5e
Safety Evaluation 
Methodologies:
structured evaluations, internal red-teaming
Risk Categories:
cyber-offence capabilities, representational harms, large-scale harms
Input Output 
Input Format:
Natural language text or prompt, code prefix/suffix
Accepted Modalities:
Text
Output Format:
Code and natural language
LLM NameCodegemma 1.1 7B It AWQ
Repository ๐Ÿค—https://huggingface.co/TechxGenus/codegemma-1.1-7b-it-AWQ 
Base Model(s)  google/codegemma-1.1-7b-it   google/codegemma-1.1-7b-it
Model Size7b
Required VRAM7.2 GB
Updated2025-02-22
MaintainerTechxGenus
Model Typegemma
Model Files  6.6 GB: 1-of-2   0.6 GB: 2-of-2
AWQ QuantizationYes
Quantization Typeawq
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-AWQ.

Rank the Codegemma 1.1 7B It AWQ 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