What are the hardware requirements for Qwen2.5 1.5B Instruct SFT OpenHermes 2.5 Standard SFT?

Qwen2.5 1.5B Instruct SFT OpenHermes 2.5 Standard SFT 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.

Where can I download or evaluate Qwen2.5 1.5B Instruct SFT OpenHermes 2.5 Standard SFT?

Qwen2.5 1.5B Instruct SFT OpenHermes 2.5 Standard SFT is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 1.5B Instruct SFT OpenHermes 2.5 Standard SFT by vectorzhou — VRAM 3.1GB, 32K context

Name: Qwen2.5 1.5B Instruct SFT OpenHermes 2.5 Standard SFT
Author: vectorzhou

Qwen2.5 1.5B Instruct SFT OpenHermes 2.5 Standard SFT is an open-source language model by vectorzhou. Features: 1.5b LLM, VRAM: 3.1GB, Context: 32K, Instruction-Based, LLM Explorer Score: 0.19.

Arxiv:1910.09700 Autotrain compatible Conversational Endpoints compatible Instruct Qwen2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/vectorzhou/Qwen2.5-1.5B-Instruct-SFT-OpenHermes-2.5-Standard-SFT

Qwen2.5 1.5B Instruct SFT OpenHermes 2.5 Standard SFT Parameters and Internals

LLM Name	Qwen2.5 1.5B Instruct SFT OpenHermes 2.5 Standard SFT
Repository 🤗	https://huggingface.co/vectorzhou/Qwen2.5-1.5B-Instruct-SFT-OpenHermes-2.5-Standard-SFT
Model Size	1.5b
Required VRAM	3.1 GB
Updated	2025-08-06
Maintainer	vectorzhou
Model Type	qwen2
Instruction-Based	Yes
Model Files	3.1 GB
Model Architecture	Qwen2ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.48.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2.5 1.5B Instruct SFT OpenHermes 2.5 Standard SFT 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 Qwen2.5 1.5B Instruct SFT OpenHermes 2.5 Standard SFT

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 1.5B 1.3M Stretched	1280K / 3.1 GB	13	0
Merge Cord V1	128K / 3.1 GB	155	1
Gte Qwen2 1.5B Instruct	128K / 7.1 GB	1021945	237
AceInstruct 1.5B	128K / 3.5 GB	139	22
... Abliterated TIES Qwen2.5 1.5B	128K / 3.5 GB	15	0
Saba1 1.8B	128K / 3.6 GB	6	1
Miniclaus Qw1.5B UNAMGS	128K / 3.5 GB	12	8
Bellatrix 1.5B XElite	128K / 3.5 GB	19	3
GCIRS Reasoning 1.5B R1	128K / 3.5 GB	9	1
...illed Scout 1.5B Instruct Gen1	128K / 3.5 GB	10	0

Note: green Score (e.g. "73.2") means that the model is better than vectorzhou/Qwen2.5-1.5B-Instruct-SFT-OpenHermes-2.5-Standard-SFT.