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Gemma 7B Translator 0.4 by ping98k

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Gemma 7B Translator 0.4 is an open-source language model by ping98k. Features: 7b LLM, VRAM: 17.1GB, Context: 8K, Quantized, LLM Explorer Score: 0.13.

  4bit   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-0.4 

Gemma 7B Translator 0.4 Benchmarks

LLME Score: 0.13069
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 0.4 (ping98k/gemma-7b-translator-0.4)
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Gemma 7B Translator 0.4 Parameters and Internals

Model Type 
text generation
Supported Languages 
th (full), en (full)
LLM NameGemma 7B Translator 0.4
Repository 🤗https://huggingface.co/ping98k/gemma-7b-translator-0.4 
Model Size7b
Required VRAM17.1 GB
Updated2026-04-22
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 0.4

Best Alternatives
Context / RAM
Downloads
Likes
Gemma 7B It8K / 17.1 GB1608441213
Gemma 7B8K / 17.1 GB299363296
Gemma 1.1 7B It GGUF8K / 5.3 GB1281
Train068K / 9.1 GB210
Llama2 Kazakh 7B GGUF8K / 4.1 GB100
Gemma 7B8K / 17.1 GB360
Gemma 7B Translator 0.38K / 17.1 GB280
Gemma7B Konosuba8K / 17.1 GB201
Gemma 7B It GGUF8K / 5.3 GB481
Gemma 7B It GGUF8K / 3.1 GB50311
Note: green Score (e.g. "73.2") means that the model is better than ping98k/gemma-7b-translator-0.4.

Rank the Gemma 7B Translator 0.4 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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