What are the hardware requirements for Qwen2.5 7B HR Test3?

Qwen2.5 7B HR Test3 requires approximately 15.2 GB of VRAM and supports a context window of 986K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen2.5 7B HR Test3 and how large is it?

Qwen2.5 7B HR Test3 is developed by Nitral-Archive, 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 Qwen2.5 7B HR Test3?

Qwen2.5 7B HR Test3 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 7B HR Test3 by Nitral-Archive — VRAM 15.2GB, 986K context

Name: Qwen2.5 7B HR Test3
Author: Nitral-Archive

Qwen2.5 7B HR Test3 is an open-source language model by Nitral-Archive. Features: 7b LLM, VRAM: 15.2GB, Context: 986K, Merged, LLM Explorer Score: 0.17.

Merged Model Autotrain compatible Base model:nitral-ai/qwen2.5-7... Base model:nitrals-loras/qwen2... Conversational Endpoints compatible Lora Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Nitral-Archive/Qwen2.5-7B_HR-Test3

Qwen2.5 7B HR Test3 Parameters and Internals

LLM Name	Qwen2.5 7B HR Test3
Repository 🤗	https://huggingface.co/Nitral-Archive/Qwen2.5-7B_HR-Test3
Base Model(s)	Nitral-AI/Qwen2.5-7B_HR-Test2 Nitral-AI/Qwen2.5-7B_HR-Test3-lora Nitral-AI/Qwen2.5-7B_HR-Test2 Nitral-AI/Qwen2.5-7B_HR-Test3-lora
Merged Model	Yes
Model Size	7b
Required VRAM	15.2 GB
Updated	2025-03-24
Maintainer	Nitral-Archive
Model Type	qwen2
Model Files	5.0 GB: 1-of-4 4.9 GB: 2-of-4 5.0 GB: 3-of-4 0.3 GB: 4-of-4
Model Architecture	Qwen2ForCausalLM
Context Length	1010000
Model Max Length	1010000
Transformers Version	4.49.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
LoRA Model	Yes
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2.5 7B HR Test3 capabilities

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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

Best Alternatives to Qwen2.5 7B HR Test3

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 7B Preview	986K / 15.2 GB	10	0
Qwen2.5 7B Instruct 1M	986K / 15.4 GB	52534	373
Hush Qwen2.5 7B V1.2	986K / 15.2 GB	4	1
Hush Qwen2.5 7B V1.1	986K / 15.2 GB	5	1
Hush Qwen2.5 7B V1.4	986K / 15.2 GB	8	1
Hush Qwen2.5 7B Preview	986K / 15.2 GB	5	0
Hush Qwen2.5 7B V1.3	986K / 15.2 GB	10	2
Hush Qwen2.5 7B RP V1.4 1M	986K / 15.2 GB	10	2
Qwen 2.5 7B Exp Sce	986K / 15.2 GB	10	2
Qwen2.5 7B MixStock V0.1	986K / 15.2 GB	6	3

Note: green Score (e.g. "73.2") means that the model is better than Nitral-Archive/Qwen2.5-7B_HR-Test3.