What are the hardware requirements for DS Noisy DS Clean DS OSS QWQ OSS QWQ Clean QWQ Noisy Con Qwen2.5 7B Instruct Sft?

DS Noisy DS Clean DS OSS QWQ OSS QWQ Clean QWQ Noisy Con Qwen2.5 7B Instruct Sft 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.

Where can I download or evaluate DS Noisy DS Clean DS OSS QWQ OSS QWQ Clean QWQ Noisy Con Qwen2.5 7B Instruct Sft?

DS Noisy DS Clean DS OSS QWQ OSS QWQ Clean QWQ Noisy Con Qwen2.5 7B Instruct Sft is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

DS Noisy DS Clean DS OSS QWQ OSS QWQ Clean QWQ Noisy Con Qwen2.5 7B Instruct Sft by secmlr — VRAM 15.2GB, 32K context

Name: DS Noisy DS Clean DS OSS QWQ OSS QWQ Clean QWQ Noisy Con Qwen2.5 7B Instruct Sft
Author: secmlr

DS Noisy DS Clean DS OSS QWQ OSS QWQ Clean QWQ Noisy Con Qwen2.5 7B Instruct Sft is an open-source language model by secmlr. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.18.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-7b-ins... Conversational Endpoints compatible Full Generated from trainer Instruct Llama-factory Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/secmlr/DS-Noisy_DS-Clean_DS-OSS_QWQ-OSS_QWQ-Clean_QWQ-Noisy_Con_Qwen2.5-7B-Instruct_sft

DS Noisy DS Clean DS OSS QWQ OSS QWQ Clean QWQ Noisy Con Qwen2.5 7B Instruct Sft Parameters and Internals

LLM Name	DS Noisy DS Clean DS OSS QWQ OSS QWQ Clean QWQ Noisy Con Qwen2.5 7B Instruct Sft
Repository 🤗	https://huggingface.co/secmlr/DS-Noisy_DS-Clean_DS-OSS_QWQ-OSS_QWQ-Clean_QWQ-Noisy_Con_Qwen2.5-7B-Instruct_sft
Base Model(s)	Qwen/Qwen2.5-7B-Instruct Qwen/Qwen2.5-7B-Instruct
Model Size	7b
Required VRAM	15.2 GB
Updated	2026-07-30
Maintainer	secmlr
Model Type	qwen2
Instruction-Based	Yes
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 0.0 GB
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.51.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the DS Noisy DS Clean DS OSS QWQ OSS QWQ Clean QWQ Noisy Con Qwen2.5 7B Instruct Sft 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 DS Noisy DS Clean DS OSS QWQ OSS QWQ Clean QWQ Noisy Con Qwen2.5 7B Instruct Sft

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 7B Instruct 1M	986K / 15.4 GB	52534	373
Hush Qwen2.5 7B RP V1.4 1M	986K / 15.2 GB	10	2
Qwen2.5 7B RRP 1M	986K / 15.2 GB	5	6
Qwen2.5 7B CelestialHarmony 1M	986K / 14.8 GB	8	7
Q2.5 Instruct 1M Harmony	986K / 15.2 GB	4	2
Impish QWEN 7B 1M	986K / 15.2 GB	4	6
COCO 7B Instruct 1M	986K / 15.2 GB	9	4
Apollo 7B	986K / 15.2 GB	8	0
Graph R1 7B	986K / 15.3 GB	7	3
Qwen2.5 7B Sky R1 Mini	986K / 15.2 GB	6	0

Note: green Score (e.g. "73.2") means that the model is better than secmlr/DS-Noisy_DS-Clean_DS-OSS_QWQ-OSS_QWQ-Clean_QWQ-Noisy_Con_Qwen2.5-7B-Instruct_sft.