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Merlinite 7B Ocp4.15 V0.1 by boricua

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Merlinite 7B Ocp4.15 V0.1 is an open-source language model by boricua. Features: 7b LLM, VRAM: 4.4GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.13.

  En   Endpoints compatible   F16   Ggml   Gguf   Mistral   Q4   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/boricua/merlinite-7b-ocp4.15-v0.1 

Merlinite 7B Ocp4.15 V0.1 Benchmarks

LLME Score: 0.12804
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Merlinite 7B Ocp4.15 V0.1 (boricua/merlinite-7b-ocp4.15-v0.1)
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Merlinite 7B Ocp4.15 V0.1 Parameters and Internals

Model Type 
Fine-tuned
Additional Notes 
Model is trained on synthetic data and needs to be handled cautiously due to risks of disinformation.
Supported Languages 
en ()
Training Details 
Data Sources:
OpenShift 4.15 documentation
Data Volume:
28606 Q&A pairs
Methodology:
Generated 5 Q&A pairs for each page on OpenShift (OCP) 4.15 PDFs, evaluated quality of Q&A using Mistral-7B-Instruct-v0.2 and tweaked with Mixtral-8x22B-Instruct-v0.1. Removed low quality Q&A pairs and non-informative ones.
Responsible Ai Considerations 
Mitigation Strategies:
The model shouldn't be entirely relied upon for crucial decisions due to risks of generating disinformation.
LLM NameMerlinite 7B Ocp4.15 V0.1
Repository 🤗https://huggingface.co/boricua/merlinite-7b-ocp4.15-v0.1 
Model Size7b
Required VRAM4.4 GB
Updated2026-05-18
Maintainerboricua
Model Typemistral
Model Files  4.4 GB   14.5 GB   14.5 GB
Supported Languagesen
GGML QuantizationYes
GGUF QuantizationYes
Quantization Typeggml|q4|gguf|q4_k
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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Merlinite 7B Ocp4.15 V0.332K / 14.5 GB50
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Note: green Score (e.g. "73.2") means that the model is better than boricua/merlinite-7b-ocp4.15-v0.1.

Rank the Merlinite 7B Ocp4.15 V0.1 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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