What are the hardware requirements for Trendyol 7B Base V1 MtLoRA Entr?

Trendyol 7B Base V1 MtLoRA Entr requires approximately 14.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Trendyol 7B Base V1 MtLoRA Entr and how large is it?

Trendyol 7B Base V1 MtLoRA Entr is developed by alperiox, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Trendyol 7B Base V1 MtLoRA Entr?

Trendyol 7B Base V1 MtLoRA Entr is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Trendyol 7B Base V1 MtLoRA Entr by alperiox — VRAM 14.6GB

Name: Trendyol 7B Base V1 MtLoRA Entr
Author: alperiox

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: 0.13.

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 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 Name	Trendyol 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 Size	7b
Required VRAM	14.6 GB
Updated	2026-07-20
Maintainer	alperiox
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 Languages	en
GGUF Quantization	Yes
Quantization Type	gguf\|q4\|q8_0\|q4_k\|q5_k
Model Architecture	AutoModelForCausalLM
License	apache-2.0
Model Max Length	32768
Is Biased	none
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	down_proj\|q_proj\|gate_proj\|v_proj\|o_proj\|k_proj\|up_proj
LoRA Alpha	16
LoRA Dropout	0
R Param	16

Rank the Trendyol 7B Base V1 MtLoRA Entr capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to Trendyol 7B Base V1 MtLoRA Entr

Best Alternatives	Context / RAM	Downloads	Likes
ShoriRP V0.75d	0K / 0.2 GB	52	33
...wen Math 7b 24 1 100 1 Nonmath	0K / 15.2 GB	50	0
ReWiz 7B	0K / 14.5 GB	252	0
CleverBoi 7B V3	0K / 0.2 GB	193	0
Mistral 7B V0.1 Hitl	0K / 14.4 GB	14	0
Mistral Llm V4	0K / 14.4 GB	24	0
Gemma 7B English To Hinglish	0K / 17.1 GB	35	0
...rix Philosophy Mistral 7B LoRA	0K / 14.4 GB	480	8
Gumzo Llama 00	0K / 0.3 GB	17	0
Legal Summarizer	0K / 14.4 GB	52	0

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