What are the hardware requirements for AYA Mistral7B Instruct TR 4B?

AYA Mistral7B Instruct TR 4B requires approximately 0.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed AYA Mistral7B Instruct TR 4B and how large is it?

AYA Mistral7B Instruct TR 4B is developed by eren23, a model with 4b 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 AYA Mistral7B Instruct TR 4B?

AYA Mistral7B Instruct TR 4B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

AYA Mistral7B Instruct TR 4B by eren23 — VRAM 0.3GB

Name: AYA Mistral7B Instruct TR 4B
Author: eren23

AYA Mistral7B Instruct TR 4B is an open-source language model by eren23. Features: 4b LLM, VRAM: 0.3GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.11.

Chat Dataset:cohereforai/aya datase... Endpoints compatible Instruct Lora Mistral Region:us Safetensors Sft Tr Turkish

Model Card on HF 🤗: https://huggingface.co/eren23/AYA-Mistral7B-instruct-TR-4b

AYA Mistral7B Instruct TR 4B Parameters and Internals

Model Type

text generation

Additional Notes

I uploaded LoRa weights only

Supported Languages

tr (Turkish)

Training Details

Data Sources:

CohereForAI/aya_dataset

Methodology:

4bit instruct tuning, finetuning using Turkish examples

LLM Name	AYA Mistral7B Instruct TR 4B
Repository 🤗	https://huggingface.co/eren23/AYA-Mistral7B-instruct-TR-4b
Model Size	4b
Required VRAM	0.3 GB
Updated	2026-08-07
Maintainer	eren23
Instruction-Based	Yes
Model Files	0.3 GB
Supported Languages	tr
Model Architecture	AutoModel
License	apache-2.0
Is Biased	none
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	o_proj\|down_proj\|q_proj\|up_proj\|gate_proj\|v_proj\|k_proj
LoRA Alpha	32
LoRA Dropout	0
R Param	32

Rank the AYA Mistral7B Instruct TR 4B 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 AYA Mistral7B Instruct TR 4B

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... 3n 4B It Distill Smollm2 360M	0K / 0 GB	55	0
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...upyter Agent Qwen3 4B AIO GGUF	0K / 1.7 GB	313	4
Calme 2.1 Phi3 4B GGUF	0K / 1.4 GB	1143	1
Calme 2.2 Phi3 4B GGUF	0K / 1.4 GB	1028	2
Calme 2.3 Phi3 4B GGUF	0K / 1.4 GB	327	5

Note: green Score (e.g. "73.2") means that the model is better than eren23/AYA-Mistral7B-instruct-TR-4b.