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Gemma 7B Translator 0.3 by ping98k

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  4bit   Autotrain compatible   Dataset:scb mt enth 2020   En   Endpoints compatible   Gemma   Gguf   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Th
Model Card on HF 🤗: https://huggingface.co/ping98k/gemma-7b-translator-0.3 

Gemma 7B Translator 0.3 Benchmarks

LLME Score: 0.17091
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma 7B Translator 0.3 (ping98k/gemma-7b-translator-0.3)

Gemma 7B Translator 0.3 Parameters and Internals

Model Type 
text-generation
Supported Languages 
th ()
Training Details 
Data Sources:
scb_mt_enth_2020
LLM NameGemma 7B Translator 0.3
Repository 🤗https://huggingface.co/ping98k/gemma-7b-translator-0.3 
Model Size7b
Required VRAM17.1 GB
Updated2025-04-29
Maintainerping98k
Model Typegemma
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   2.1 GB: 4-of-4   5.3 GB
Supported Languagesth en
GGUF QuantizationYes
Quantization Typegguf|4bit
Model ArchitectureGemmaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.40.1
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

Best Alternatives to Gemma 7B Translator 0.3

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Llama2 Kazakh 7B GGUF8K / 4.1 GB90
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Gemma 7B Translator 0.48K / 17.1 GB80
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Note: green Score (e.g. "73.2") means that the model is better than ping98k/gemma-7b-translator-0.3.

Rank the Gemma 7B Translator 0.3 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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Release v20241227
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