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

Qwen2.5 7B Med Acc 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 Acc Without Prior and how large is it?

Qwen2.5 7B Med Acc 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 Acc Without Prior?

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

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

Qwen2.5 7B Med Acc 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-acc-without-prior

Qwen2.5 7B Med Acc Without Prior Benchmarks

LLME Score: 0.19356

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Qwen2.5 7B Med Acc Without Prior (pittawat/qwen2.5-7b-med-acc-without-prior)

🌟 Advertise your project 🚀

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

LLM Name	Qwen2.5 7B Med Acc Without Prior
Repository 🤗	https://huggingface.co/pittawat/qwen2.5-7b-med-acc-without-prior
Model Size	7b
Required VRAM	15.3 GB
Updated	2025-09-23
Maintainer	pittawat
Model Type	qwen2
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 5.0 GB: 3-of-4 0.3 GB: 4-of-4
Model Architecture	Qwen2ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.52.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Best Alternatives to Qwen2.5 7B Med Acc 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	84895	371
Hush Qwen2.5 7B V1.2	986K / 15.2 GB	5	1
Hush Qwen2.5 7B V1.1	986K / 15.2 GB	7	1
Hush Qwen2.5 7B V1.4	986K / 15.2 GB	9	1
Hush Qwen2.5 7B Preview	986K / 15.2 GB	5	0
Hush Qwen2.5 7B V1.3	986K / 15.2 GB	18	2
Hush Qwen2.5 7B RP V1.4 1M	986K / 15.2 GB	17	2
Qwen 2.5 7B Exp Sce	986K / 15.2 GB	7	2
Qwen2.5 7B MixStock V0.1	986K / 15.2 GB	11	3

Note: green Score (e.g. "73.2") means that the model is better than pittawat/qwen2.5-7b-med-acc-without-prior.

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

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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

What open-source LLMs or SLMs are you in search of? 54253 in total.

Email us: info@extractum.io. Our Privacy Policy | Terms and Conditions | Suggest an improvement.

Our Social Media →

Original data from HuggingFace, OpenCompass and various public git repos.

Check out Ag3ntum — our secure, self-hosted AI agent for server management.

Release v20260328a

Support LLM Explorer

Qwen2.5 7B Med Acc Without Prior by pittawat

» All LLMs » pittawat » Qwen2.5 7B Med Acc Without Prior URL Share it on

Qwen2.5 7B Med Acc Without Prior Benchmarks

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

Best Alternatives to Qwen2.5 7B Med Acc Without Prior

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

What open-source LLMs or SLMs are you in search of? 54253 in total.