What are the hardware requirements for Qwen2.5 7B Deepscaler 4K Step 192?

Qwen2.5 7B Deepscaler 4K Step 192 requires approximately 15.2 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen2.5 7B Deepscaler 4K Step 192 and how large is it?

Qwen2.5 7B Deepscaler 4K Step 192 is developed by UWNSL, 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 Deepscaler 4K Step 192?

Qwen2.5 7B Deepscaler 4K Step 192 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 7B Deepscaler 4K Step 192 by UWNSL — VRAM 15.2GB, 128K context

Name: Qwen2.5 7B Deepscaler 4K Step 192
Author: UWNSL

Qwen2.5 7B Deepscaler 4K Step 192 is an open-source language model by UWNSL. Features: 7b LLM, VRAM: 15.2GB, Context: 128K, LLM Explorer Score: 0.18.

Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/UWNSL/Qwen2.5-7B-deepscaler_4k_step_192

Qwen2.5 7B Deepscaler 4K Step 192 Parameters and Internals

LLM Name	Qwen2.5 7B Deepscaler 4k Step 192
Repository 🤗	https://huggingface.co/UWNSL/Qwen2.5-7B-deepscaler_4k_step_192
Model Size	7b
Required VRAM	15.2 GB
Updated	2026-06-28
Maintainer	UWNSL
Model Type	qwen2
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
Model Architecture	Qwen2ForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.51.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	float16
Errors	replace

Rank the Qwen2.5 7B Deepscaler 4K Step 192 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 7B Deepscaler 4K Step 192

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 UWNSL/Qwen2.5-7B-deepscaler_4k_step_192.