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CodeMind Gemma 2B by kreimben

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  Autotrain compatible Base model:finetune:google/gem... Base model:google/gemma-1.1-2b...   Code   Conversational Dataset:kreimben/leetcode user... Dataset:kreimben/leetcode with...   En   Endpoints compatible   Gemma   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/kreimben/CodeMind-gemma-2b 

CodeMind Gemma 2B Benchmarks

ARC: 41.81 vs 96.7 (so35)-56.8%
HellaSwag: 59.03 vs 95.3 (gpt4)-38.1%
MMLU: 37.26 vs 88.3 (so35)-57.8%
TruthfulQA: 43.45 vs 59 (gpt4)-26.4%
WinoGrande: 59.91 vs 87.5 (gpt4)-31.5%
GSM8K: 8.26 vs 96.4 (so35)-91.4%
LLME Score: 0.21144
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CodeMind Gemma 2B (kreimben/CodeMind-gemma-2b)

CodeMind Gemma 2B Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
coding challenges, programming assistance
Primary Use Cases:
problem type and approach explanation, code generation
Limitations:
Model output may not always be accurate
Considerations:
Verification is necessary before using outputs for important decisions or real-world problem-solving.
Additional Notes 
The model is fine-tuned specifically for coding problem-solving support.
Supported Languages 
English (fluent)
Training Details 
Data Sources:
LeetCode user submissions, Youtube captions
Input Output 
Input Format:
Textual inputs describing coding problems.
Accepted Modalities:
text
Output Format:
Textual explanations or code snippets.
LLM NameCodeMind Gemma 2B
Repository 🤗https://huggingface.co/kreimben/CodeMind-gemma-2b 
Base Model(s)  google/gemma-1.1-2b-it   google/gemma-1.1-2b-it
Model Size2b
Required VRAM5.1 GB
Updated2025-02-18
Maintainerkreimben
Model Typegemma
Model Files  5.0 GB: 1-of-2   0.1 GB: 2-of-2
Supported Languagesen
Model ArchitectureGemmaForCausalLM
Licensemit
Context Length8192
Model Max Length8192
Transformers Version4.39.3
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 kreimben/CodeMind-gemma-2b.

Rank the CodeMind Gemma 2B 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 v20241227
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