What are the hardware requirements for SKY Ko Qwen2.5 7B Instruct SFT Step 5000?

SKY Ko Qwen2.5 7B Instruct SFT Step 5000 requires approximately 15.2 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 SKY Ko Qwen2.5 7B Instruct SFT Step 5000 and how large is it?

SKY Ko Qwen2.5 7B Instruct SFT Step 5000 is developed by SkyOrbis, 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 SKY Ko Qwen2.5 7B Instruct SFT Step 5000?

SKY Ko Qwen2.5 7B Instruct SFT Step 5000 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

SKY Ko Qwen2.5 7B Instruct SFT Step 5000 by SkyOrbis — VRAM 15.2GB, 32K context

Name: SKY Ko Qwen2.5 7B Instruct SFT Step 5000
Author: SkyOrbis

SKY Ko Qwen2.5 7B Instruct SFT Step 5000 is an open-source language model by SkyOrbis. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, Instruction-Based, LLM Explorer Score: 0.23.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-7b-ins... Instruct Ko Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/SkyOrbis/SKY-Ko-Qwen2.5-7B-Instruct-SFT-step-5000

SKY Ko Qwen2.5 7B Instruct SFT Step 5000 Parameters and Internals

LLM Name	SKY Ko Qwen2.5 7B Instruct SFT Step 5000
Repository 🤗	https://huggingface.co/SkyOrbis/SKY-Ko-Qwen2.5-7B-Instruct-SFT-step-5000
Base Model(s)	Qwen/Qwen2.5-7B-Instruct Qwen/Qwen2.5-7B-Instruct
Model Size	7b
Required VRAM	15.2 GB
Updated	2026-05-16
Maintainer	SkyOrbis
Model Type	qwen2
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-4 4.9 GB: 2-of-4 4.3 GB: 3-of-4 1.1 GB: 4-of-4
Supported Languages	ko
Model Architecture	Qwen2ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.46.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the SKY Ko Qwen2.5 7B Instruct SFT Step 5000 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 SKY Ko Qwen2.5 7B Instruct SFT Step 5000

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 7B Instruct 1M	986K / 15.4 GB	52534	373
Hush Qwen2.5 7B RP V1.4 1M	986K / 15.2 GB	10	2
Qwen2.5 7B RRP 1M	986K / 15.2 GB	5	6
Qwen2.5 7B CelestialHarmony 1M	986K / 14.8 GB	8	7
Q2.5 Instruct 1M Harmony	986K / 15.2 GB	4	2
Impish QWEN 7B 1M	986K / 15.2 GB	4	6
COCO 7B Instruct 1M	986K / 15.2 GB	9	4
Apollo 7B	986K / 15.2 GB	8	0
Graph R1 7B	986K / 15.3 GB	7	3
Qwen2.5 7B Sky R1 Mini	986K / 15.2 GB	6	0

Note: green Score (e.g. "73.2") means that the model is better than SkyOrbis/SKY-Ko-Qwen2.5-7B-Instruct-SFT-step-5000.