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Train06 by ddtsoftware

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  Autotrain compatible   Base model:google/gemma-7b Base model:quantized:google/ge...   En   Endpoints compatible   Gemma   Gguf   Quantized   Region:us   Safetensors   Th   Unsloth
Model Card on HF 🤗: https://huggingface.co/ddtsoftware/Train06 

Train06 Benchmarks

LLME Score: 0.19883
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Train06 (ddtsoftware/Train06)

Train06 Parameters and Internals

Model Type 
text generation
Additional Notes 
This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
Supported Languages 
en (unknown), th (unknown)
Training Details 
Methodology:
Used Unsloth and Huggingface's TRL library for faster training.
LLM NameTrain06
Repository 🤗https://huggingface.co/ddtsoftware/Train06 
Base Model(s)  Gemma 7B   google/gemma-7b
Model Size7b
Required VRAM9.1 GB
Updated2025-01-30
Maintainerddtsoftware
Model Typegemma
Model Files  9.1 GB
Supported Languagesen th
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureGemmaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.41.2
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

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Likes
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Gemma 7B It GGUF8K / 5.3 GB121
Gemma 7B It GGUF8K / 3.1 GB19311
Note: green Score (e.g. "73.2") means that the model is better than ddtsoftware/Train06.

Rank the Train06 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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