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Qwen 2.5 7B Instruct SSFT Gsm8k Lr5e 5 by wvnvwn

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Qwen 2.5 7B Instruct SSFT Gsm8k Lr5e 5 is an open-source language model by wvnvwn. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, License: apache-2.0, Instruction-Based.

  Finetuned   Instruct   Llama   Qwen2   Region:us   Safetensors   Safety   Safety-neurons   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/wvnvwn/qwen-2.5-7B-Instruct-SSFT-gsm8k-lr5e-5 
Qwen 2.5 7B Instruct SSFT Gsm8k Lr5e 5 (wvnvwn/qwen-2.5-7B-Instruct-SSFT-gsm8k-lr5e-5)
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Qwen 2.5 7B Instruct SSFT Gsm8k Lr5e 5 Parameters and Internals

LLM NameQwen 2.5 7B Instruct SSFT Gsm8k Lr5e 5
Repository 🤗https://huggingface.co/wvnvwn/qwen-2.5-7B-Instruct-SSFT-gsm8k-lr5e-5 
Model Size7b
Required VRAM15.2 GB
Updated2026-04-30
Maintainerwvnvwn
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 Version4.57.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Errorsreplace

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Qwen2.5 7B Instruct 1M986K / 15.4 GB60563368
Hush Qwen2.5 7B RP V1.4 1M986K / 15.2 GB182
Qwen2.5 7B RRP 1M986K / 15.2 GB266
Qwen2.5 7B CelestialHarmony 1M986K / 14.8 GB297
Q2.5 Instruct 1M Harmony986K / 15.2 GB42
Impish QWEN 7B 1M986K / 15.2 GB76
COCO 7B Instruct 1M986K / 15.2 GB214
Apollo 7B986K / 15.2 GB150
Graph R1 7B986K / 15.3 GB53
Qwen2.5 7B Sky R1 Mini986K / 15.2 GB160
Note: green Score (e.g. "73.2") means that the model is better than wvnvwn/qwen-2.5-7B-Instruct-SSFT-gsm8k-lr5e-5.

Rank the Qwen 2.5 7B Instruct SSFT Gsm8k Lr5e 5 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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