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Shiftdocs 7B Ocp4.15 V0.3 by boricua

 »  All LLMs  »  boricua  »  Shiftdocs 7B Ocp4.15 V0.3   URL Share it on

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  Conversational   En   Endpoints compatible   F16   Ggml   Gguf   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/boricua/shiftdocs-7b-ocp4.15-v0.3 

Shiftdocs 7B Ocp4.15 V0.3 Benchmarks

LLME Score: 0.15062
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Shiftdocs 7B Ocp4.15 V0.3 (boricua/shiftdocs-7b-ocp4.15-v0.3)
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Shiftdocs 7B Ocp4.15 V0.3 Parameters and Internals

Model Type 
Q&A, Instruction Following
Use Cases 
Areas:
proof of concept, Kubernetes-related tasks
Primary Use Cases:
Answering questions related to OpenShift and Kubernetes
Limitations:
Significant drop in accuracy and performance when quantized., Refuses valid Kubernetes or OpenShift questions if unrelated context present during training.
Considerations:
Not intended for production use; trained in lab environment.
Supported Languages 
en (advanced)
Training Details 
Data Sources:
OpenShift 4.15 documentation
Data Volume:
45212 Q&A pairs
Methodology:
The Q&A corpus was generated from OpenShift 4.15 PDFs, with questions generated by Mistral-7B-Instruct-v0.2 and answers by Mixtral-8x22B-Instruct-v0.1. A voting evaluation with Llama3-7B was used to ensure quality, excluding pairs focusing on phrases like 'this example'.
Context Length:
32000
Training Time:
3000 iterations
Responsible Ai Considerations 
Mitigation Strategies:
Trained to refuse non-Kubernetes-related questions, but may still misinterpret or fabricate if context is absent.
Input Output 
Input Format:
INSTRUCTIONS, TASK, CONTEXT, QUESTION
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Use RAG to enhance model's knowledge.
LLM NameShiftdocs 7B Ocp4.15 V0.3
Repository 🤗https://huggingface.co/boricua/shiftdocs-7b-ocp4.15-v0.3 
Model Size7b
Required VRAM14.5 GB
Updated2025-12-10
Maintainerboricua
Model Typemistral
Model Files  14.5 GB   14.5 GB
Supported Languagesen
GGML QuantizationYes
GGUF QuantizationYes
Quantization Typeggml|gguf
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Padding Token<|pad|>
Vocabulary Size32008
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than boricua/shiftdocs-7b-ocp4.15-v0.3.

Rank the Shiftdocs 7B Ocp4.15 V0.3 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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