Codegemma 1.1 2B AWQ by TechxGenus

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

Codegemma 1.1 2B 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 2B AWQ (TechxGenus/codegemma-1.1-2b-AWQ)

Codegemma 1.1 2B AWQ Parameters and Internals

Model Type 
text-to-text, text-to-code decoder-only
Use Cases 
Primary Use Cases:
Code Completion, Code Generation, Code Conversation, Code Education
Limitations:
Large Language Models (LLMs) have limitations based on their training data.
Additional Notes 
Models focus on responsible AI development and high-performance open code-focused implementations.
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:
FIM Pretrained with fill-in-the-middle (FIM) objective
Hardware Used:
TPUv5e
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
Accepted Modalities:
code, text
Output Format:
fill-in-the-middle code completion, code and natural language
LLM NameCodegemma 1.1 2B AWQ
Repository ๐Ÿค—https://huggingface.co/TechxGenus/codegemma-1.1-2b-AWQ 
Base Model(s)  google/codegemma-1.1-2b   google/codegemma-1.1-2b
Model Size2b
Required VRAM3.1 GB
Updated2024-12-22
MaintainerTechxGenus
Model Typegemma
Model Files  3.1 GB
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-1.1-2b-AWQ.

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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 v20241217