What are the hardware requirements for Adtc Agri Sft Qwen2.5 1.5B?

Adtc Agri Sft Qwen2.5 1.5B requires approximately 3.1 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Adtc Agri Sft Qwen2.5 1.5B and how large is it?

Adtc Agri Sft Qwen2.5 1.5B is developed by EYEDOL, a model with 1.5b 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 Adtc Agri Sft Qwen2.5 1.5B?

Adtc Agri Sft Qwen2.5 1.5B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Adtc Agri Sft Qwen2.5 1.5B by EYEDOL — VRAM 3.1GB, 32K context

Name: Adtc Agri Sft Qwen2.5 1.5B
Author: EYEDOL

Adtc Agri Sft Qwen2.5 1.5B is an open-source language model by EYEDOL. Features: 1.5b LLM, VRAM: 3.1GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.29.

Agriculture Base model:adapter:qwen/qwen2.... Base model:qwen/qwen2.5-1.5b-i... Conversational En Endpoints compatible Instruct Lora Low-resource Nigeria Peft Qlora Qwen2 Region:us Safetensors Sft

Model Card on HF 🤗: https://huggingface.co/EYEDOL/adtc-agri-sft-qwen2.5-1.5b

Adtc Agri Sft Qwen2.5 1.5B Parameters and Internals

LLM Name	Adtc Agri Sft Qwen2.5 1.5B
Repository 🤗	https://huggingface.co/EYEDOL/adtc-agri-sft-qwen2.5-1.5b
Base Model(s)	Qwen/Qwen2.5-1.5B-Instruct Qwen/Qwen2.5-1.5B-Instruct
Model Size	1.5b
Required VRAM	3.1 GB
Updated	2026-09-24
Maintainer	EYEDOL
Model Type	qwen2
Instruction-Based	Yes
Model Files	3.1 GB
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	5.17.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

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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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