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CodeGemma 2B GPTQ by TechxGenus

 »  All LLMs  »  TechxGenus  »  CodeGemma 2B GPTQ   URL Share it on

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  4-bit   Autotrain compatible   Code   Endpoints compatible   Gemma   Gptq   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TechxGenus/CodeGemma-2b-GPTQ 

CodeGemma 2B GPTQ Benchmarks

LLME Score: 0.17993
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CodeGemma 2B GPTQ (TechxGenus/CodeGemma-2b-GPTQ)

CodeGemma 2B GPTQ Parameters and Internals

Model Type 
text generation
Use Cases 
Primary Use Cases:
Text Generation, Code Generation
Limitations:
Errors in non-coding tasks, Misleading content
Considerations:
Model has undergone limited testing; additional safety testing recommended before real-world deployment.
Additional Notes 
Model is the GPTQ quantized version and makes use of DeepSpeed ZeRO 3 and Flash Attention 2 for training acceleration.
Training Details 
Data Sources:
High-quality, code-related tokens
Data Volume:
0.7 billion tokens
Methodology:
Fine-tuning
Input Output 
Input Format:
Alpaca instruction format, excluding the system prompt
Output Format:
Generated text
Performance Tips:
Additional safety testing should be performed before deployment.
LLM NameCodeGemma 2B GPTQ
Repository 🤗https://huggingface.co/TechxGenus/CodeGemma-2b-GPTQ 
Model Size2b
Required VRAM3.1 GB
Updated2024-12-22
MaintainerTechxGenus
Model Typegemma
Model Files  3.1 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureGemmaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.39.0.dev0
Tokenizer ClassGemmaTokenizer
Padding Token<eos>
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-2b-GPTQ.

Rank the CodeGemma 2B GPTQ Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Release v20241217
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