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Caliburn 12B by Xclbr7

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Caliburn 12B is an open-source language model by Xclbr7. Features: 12b LLM, VRAM: 24.5GB, Context: 1000K, License: mit, Merged, LLM Explorer Score: 0.22.

  Merged Model   Conversational   Endpoints compatible   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Xclbr7/caliburn-12b 

Caliburn 12B Benchmarks

MMLU Pro: 29.72
GPQA: 11.52
MUSR: 13.78
BBH: 35.64
IFEval: 35.76 vs 88 (so35)-59.4%
MATH Lvl 5: 11.25
LLME Score: 0.21971
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Caliburn 12B (Xclbr7/caliburn-12b)
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Caliburn 12B Parameters and Internals

Model Type 
Transformer-based language model
Use Cases 
Areas:
natural language processing tasks
Applications:
Text generation, Code completion, Question answering, Summarization
Limitations:
generating harmful, biased, or unethical content, Not to be relied upon for critical decision-making without human oversight
Supported Languages 
English (NLP)
Training Details 
Methodology:
Merging multiple source models using MergeKit
Model Architecture:
based on the transformer architecture
Responsible Ai Considerations 
Mitigation Strategies:
Use with appropriate content filtering and human oversight, especially for public-facing applications.
LLM NameCaliburn 12B
Repository 🤗https://huggingface.co/Xclbr7/caliburn-12b 
Merged ModelYes
Model Size12b
Required VRAM24.5 GB
Updated2026-04-07
MaintainerXclbr7
Model Typemistral
Model Files  4.9 GB: 1-of-5   4.9 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   4.9 GB: 5-of-5
Model ArchitectureMistralForCausalLM
Licensemit
Context Length1024000
Model Max Length1024000
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size131074
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Xclbr7/caliburn-12b.

Rank the Caliburn 12B 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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