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Trendyol 7B Base V1 MtLoRA Entr by alperiox

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Trendyol 7B Base V1 MtLoRA Entr is an open-source language model by alperiox. Features: 7b LLM, VRAM: 14.6GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.14.

  Autotrain compatible Base model:quantized:trendyol/... Base model:trendyol/trendyol-l...   Conversational   En   Endpoints compatible   Gguf   Lora   Mistral   Pytorch   Q4   Q8 0   Quantized   Region:us   Safetensors   Sft   Sharded   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/alperiox/trendyol-7b-base-v1-mtLoRA_entr 

Trendyol 7B Base V1 MtLoRA Entr Benchmarks

LLME Score: 0.14043
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Trendyol 7B Base V1 MtLoRA Entr (alperiox/trendyol-7b-base-v1-mtLoRA_entr)
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Trendyol 7B Base V1 MtLoRA Entr Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, mistral, trl, sft
Use Cases 
Applications:
English to Turkish machine translation
Training Details 
Methodology:
Unsloth and HF's TRL library
Training Time:
2x faster training
LLM NameTrendyol 7B Base V1 MtLoRA Entr
Repository 🤗https://huggingface.co/alperiox/trendyol-7b-base-v1-mtLoRA_entr 
Base Model(s)  Trendyol/Trendyol-LLM-7b-base-v1.0   Trendyol/Trendyol-LLM-7b-base-v1.0
Model Size7b
Required VRAM14.6 GB
Updated2025-09-30
Maintaineralperiox
Model Files  0.2 GB   4.9 GB: 1-of-3   4.9 GB: 2-of-3   4.8 GB: 3-of-3   4.4 GB   4.4 GB   5.2 GB   5.2 GB   7.8 GB   7.8 GB   14.7 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|q4|q8_0|q4_k|q5_k
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Model Max Length32768
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesdown_proj|q_proj|gate_proj|v_proj|o_proj|k_proj|up_proj
LoRA Alpha16
LoRA Dropout0
R Param16

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Note: green Score (e.g. "73.2") means that the model is better than alperiox/trendyol-7b-base-v1-mtLoRA_entr.

Rank the Trendyol 7B Base V1 MtLoRA Entr 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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