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DevOpsGPT 1.1 F16 by ugurcelebi

 »  All LLMs  »  ugurcelebi  »  DevOpsGPT 1.1 F16   URL Share it on

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  4bit Base model:quantized:unsloth/q... Base model:unsloth/qwen2-7b-in...   Conversational   En   Endpoints compatible   Fp16   Gguf   Instruct   Quantized   Qwen2   Region:us   Unsloth
Model Card on HF 🤗: https://huggingface.co/ugurcelebi/DevOpsGPT-1.1-f16 

DevOpsGPT 1.1 F16 Benchmarks

LLME Score: 0.15897
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
DevOpsGPT 1.1 F16 (ugurcelebi/DevOpsGPT-1.1-f16)
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DevOpsGPT 1.1 F16 Parameters and Internals

Model Type 
text-generation-inference, transformers
Additional Notes 
This qwen2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
LLM NameDevOpsGPT 1.1 F16
Repository 🤗https://huggingface.co/ugurcelebi/DevOpsGPT-1.1-f16 
Base Model(s)  Qwen2 7B Instruct Bnb 4bit   unsloth/Qwen2-7B-Instruct-bnb-4bit
Model Size7b
Required VRAM15.2 GB
Updated2025-09-23
Maintainerugurcelebi
Model Typeqwen2
Instruction-BasedYes
Model Files  15.2 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typefp16|gguf|4bit
Model ArchitectureAutoModel
Licenseapache-2.0

Best Alternatives to DevOpsGPT 1.1 F16

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Context / RAM
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Pixel8K / 4.4 GB170
Mistral 7B Instruct V0.3 GGUF0K / 1.6 GB121474117
Qwen2 7B Instruct GGUF0K / 1.9 GB9221811
Mistral 7B Instruct V0.1 GGUF0K / 3.1 GB179733603
Mistral 7B Instruct V0.2 GGUF0K / 3.1 GB55713465
...hemeng Qwen Math 7b 24 1 100 10K / 15.2 GB560
Qwen2 7B Instruct V0.6 GGUF0K / 4.5 GB135220
Qwen2 7B Instruct V0.1 GGUF0K / 4.5 GB97140
Qwen2 7B Instruct V0.7 GGUF0K / 4.5 GB95300
Qwen2 7B Instruct V0.3 GGUF0K / 4.5 GB89111
Note: green Score (e.g. "73.2") means that the model is better than ugurcelebi/DevOpsGPT-1.1-f16.

Rank the DevOpsGPT 1.1 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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