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

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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: 0.19.

  Autotrain compatible 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

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

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
DS Noisy DS Clean DS OSS QWQ OSS QWQ Clean QWQ Noisy Con Qwen2.5 7B Instruct Sft (secmlr/DS-Noisy_DS-Clean_DS-OSS_QWQ-OSS_QWQ-Clean_QWQ-Noisy_Con_Qwen2.5-7B-Instruct_sft)
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DS Noisy DS Clean DS OSS QWQ OSS QWQ Clean QWQ Noisy Con Qwen2.5 7B Instruct Sft Parameters and Internals

LLM NameDS Noisy DS Clean DS OSS QWQ OSS QWQ Clean QWQ Noisy Con Qwen2.5 7B Instruct Sft
Repository ๐Ÿค—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 Size7b
Required VRAM15.2 GB
Updated2025-09-19
Maintainersecmlr
Model Typeqwen2
Instruction-BasedYes
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 ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.51.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Qwen2.5 7B Instruct 1M986K / 15.4 GB107707362
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Q2.5 Instruct 1M Harmony986K / 15.2 GB42
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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.

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

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Release v20260328a