What are the hardware requirements for Qwen 2.5 7B DPO Split1 16bit Chunk34?

Qwen 2.5 7B DPO Split1 16bit Chunk34 requires approximately 15.2 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 Qwen 2.5 7B DPO Split1 16bit Chunk34 and how large is it?

Qwen 2.5 7B DPO Split1 16bit Chunk34 is developed by Thamed-Chowdhury, 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 Qwen 2.5 7B DPO Split1 16bit Chunk34?

Qwen 2.5 7B DPO Split1 16bit Chunk34 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen 2.5 7B DPO Split1 16bit Chunk34 by Thamed-Chowdhury — VRAM 15.2GB, 32K context

Name: Qwen 2.5 7B DPO Split1 16bit Chunk34
Author: Thamed-Chowdhury

Qwen 2.5 7B DPO Split1 16bit Chunk34 is an open-source language model by Thamed-Chowdhury. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.15.

16bit Base model:finetune:thamed-cho... Base model:thamed-chowdhury/qw... Conversational Dpo En Endpoints compatible Quantized Qwen2 Region:us Safetensors Sharded Tensorflow Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/Thamed-Chowdhury/qwen-2.5-7B-DPO-split1-16bit-chunk34

Qwen 2.5 7B DPO Split1 16bit Chunk34 Parameters and Internals

LLM Name	Qwen 2.5 7B DPO Split1 16bit Chunk34
Repository 🤗	https://huggingface.co/Thamed-Chowdhury/qwen-2.5-7B-DPO-split1-16bit-chunk34
Base Model(s)	Thamed-Chowdhury/qwen-2.5-7B-DPO-split1-16bit-chunk12 Thamed-Chowdhury/qwen-2.5-7B-DPO-split1-16bit-chunk12
Model Size	7b
Required VRAM	15.2 GB
Updated	2026-08-08
Maintainer	Thamed-Chowdhury
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
Supported Languages	en
Quantization Type	16bit
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.44.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|PAD_TOKEN\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen 2.5 7B DPO Split1 16bit Chunk34 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 Qwen 2.5 7B DPO Split1 16bit Chunk34

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 7B Instruct 1M 4bit	986K / 4.3 GB	444	11
...wen2.5 7B Instruct 1M Bnb 4bit	986K / 5.5 GB	267	1
Qwen2.5 7B Instruct 1M 8bit	986K / 8.1 GB	63	4
Qwen2.5 7B Instruct 1M 6bit	986K / 6.2 GB	52	2
...B Instruct 1M Unsloth Bnb 4bit	986K / 7.5 GB	37	3
Qwen 7B Kiberbase	128K / 15.2 GB	788	0
A1 V002	128K / 15.2 GB	7	0
Mini Pathfinder	128K / 15.2 GB	16	0
A1 V0.0.1	128K / 15.2 GB	8	0
CogitoDistil	128K / 15.2 GB	14	0

Note: green Score (e.g. "73.2") means that the model is better than Thamed-Chowdhury/qwen-2.5-7B-DPO-split1-16bit-chunk34.