What are the hardware requirements for Qwen2.5 7B Med Rank Without Prior?

Qwen2.5 7B Med Rank Without Prior requires approximately 15.3 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 Qwen2.5 7B Med Rank Without Prior and how large is it?

Qwen2.5 7B Med Rank Without Prior is developed by pittawat, 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 Med Rank Without Prior?

Qwen2.5 7B Med Rank Without Prior is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 7B Med Rank Without Prior by pittawat — VRAM 15.3GB, 32K context

Name: Qwen2.5 7B Med Rank Without Prior
Author: pittawat

Qwen2.5 7B Med Rank Without Prior is an open-source language model by pittawat. Features: 7b LLM, VRAM: 15.3GB, Context: 32K, LLM Explorer Score: 0.19.

Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/pittawat/qwen2.5-7b-med-rank-without-prior

Qwen2.5 7B Med Rank Without Prior Parameters and Internals

LLM Name	Qwen2.5 7B Med Rank Without Prior
Repository 🤗	https://huggingface.co/pittawat/qwen2.5-7b-med-rank-without-prior
Model Size	7b
Required VRAM	15.3 GB
Updated	2025-09-23
Maintainer	pittawat
Model Type	qwen2
Model Files	4.1 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.3 GB: 4-of-4
Model Architecture	Qwen2ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.51.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2.5 7B Med Rank Without Prior 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 Med Rank Without Prior

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 pittawat/qwen2.5-7b-med-rank-without-prior.