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DevOpsGPT 1.2 F16 by ugurcelebi

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DevOpsGPT 1.2 F16 is an open-source language model by ugurcelebi. Features: 7b LLM, VRAM: 15.2GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.15.

  4bit   Conversational   En   Endpoints compatible   Fp16   Gguf   Quantized   Qwen2   Region:us   Unsloth
Model Card on HF 🤗: https://huggingface.co/ugurcelebi/DevOpsGPT-1.2-f16 

DevOpsGPT 1.2 F16 Benchmarks

LLME Score: 0.15044
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
DevOpsGPT 1.2 F16 (ugurcelebi/DevOpsGPT-1.2-f16)
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DevOpsGPT 1.2 F16 Parameters and Internals

Model Type 
text-generation-inference
Additional Notes 
This qwen2 model was trained 2x faster with Unsloth and Huggingface's TRL library.
Supported Languages 
en (advanced)
Training Details 
Methodology:
The qwen2 model was trained 2x faster using Unsloth and Huggingface's TRL library.
LLM NameDevOpsGPT 1.2 F16
Repository 🤗https://huggingface.co/ugurcelebi/DevOpsGPT-1.2-f16 
Base Model(s)  unsloth/qwen2-7b-bnb-4bit   unsloth/qwen2-7b-bnb-4bit
Model Size7b
Required VRAM15.2 GB
Updated2025-11-07
Maintainerugurcelebi
Model Typeqwen2
Model Files  15.2 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typefp16|gguf|4bit
Model ArchitectureAutoModel
Licenseapache-2.0

Best Alternatives to DevOpsGPT 1.2 F16

Best Alternatives
Context / RAM
Downloads
Likes
Pixel8K / 4.4 GB170
Mistral 7B Instruct V0.3 GGUF0K / 1.6 GB148938131
Qwen2 7B Instruct GGUF0K / 1.9 GB9221811
Conversely Mistral 7B0K / 0.2 GB800
WizardLM 2 7B GGUF0K / 2.7 GB8070983
Mistral 7B Instruct V0.2 GGUF0K / 3.1 GB77323499
CleverBoi 7B V20K / 0.1 GB660
...hemeng Qwen Math 7b 24 1 100 10K / 15.2 GB160
Qwen2 7B Instruct V0.6 GGUF0K / 4.5 GB135220
Llama 2 7B Chat GGUF0K / 2.8 GB72367492
Note: green Score (e.g. "73.2") means that the model is better than ugurcelebi/DevOpsGPT-1.2-f16.

Rank the DevOpsGPT 1.2 F16 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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