Aixcc DS Noisy DS Clean QWQ Noisy QWQ Clean Qwen2.5 7B Instruct Full Sft 1e 5 Aixcc Train by secmlr

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Aixcc DS Noisy DS Clean QWQ Noisy QWQ Clean Qwen2.5 7B Instruct Full Sft 1e 5 Aixcc Train 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: 0.2.

  Autotrain compatible Base model:finetune:secmlr/ds-... Base model:secmlr/ds-noisy ds-...   Conversational   Endpoints compatible   Full   Generated from trainer   Instruct   Llama-factory   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Aixcc DS Noisy DS Clean QWQ Noisy QWQ Clean Qwen2.5 7B Instruct Full Sft 1e 5 Aixcc Train Benchmarks

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

Aixcc DS Noisy DS Clean QWQ Noisy QWQ Clean Qwen2.5 7B Instruct Full Sft 1e 5 Aixcc Train Parameters and Internals

LLM NameAixcc DS Noisy DS Clean QWQ Noisy QWQ Clean Qwen2.5 7B Instruct Full Sft 1e 5 Aixcc Train
Repository 🤗https://huggingface.co/secmlr/aixcc_DS-Noisy_DS-Clean_QWQ-Noisy_QWQ-Clean_Qwen2.5-7B-Instruct_full_sft_1e-5_aixcc_train 
Base Model(s)  secmlr/DS-Noisy_DS-Clean_QWQ-Noisy_QWQ-Clean_Qwen2.5-7B-Instruct_full_sft_1e-5   secmlr/DS-Noisy_DS-Clean_QWQ-Noisy_QWQ-Clean_Qwen2.5-7B-Instruct_full_sft_1e-5
Model Size7b
Required VRAM15.2 GB
Updated2025-06-24
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 Version4.51.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than secmlr/aixcc_DS-Noisy_DS-Clean_QWQ-Noisy_QWQ-Clean_Qwen2.5-7B-Instruct_full_sft_1e-5_aixcc_train.

Rank the Aixcc DS Noisy DS Clean QWQ Noisy QWQ Clean Qwen2.5 7B Instruct Full Sft 1e 5 Aixcc Train 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