Excalibur 7B by InferenceIllusionist

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Excalibur 7B is an open-source language model by InferenceIllusionist. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, Merged, HF Score: 73.6, LLM Explorer Score: 0.13, Arc: 69.7, HellaSwag: 87.6, MMLU: 65.7, TruthfulQA: 67.2, WinoGrande: 82.8, GSM8K: 68.6.

  Merged Model Base model:bardsai/jaskier-7b-... Base model:ibm-research/merlin... Base model:inferenceillusionis...   Base model:mlabonne/monarch-7b Base model:sanjiwatsuki/kunoic...   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Excalibur 7B Benchmarks

Excalibur 7B Parameters and Internals

LLM NameExcalibur 7B
Repository 🤗https://huggingface.co/InferenceIllusionist/Excalibur-7b 
Base Model(s)  Merlinite 7B   Magic Dolphin 7B   Kunoichi DPO V2 7B   Monarch 7B   bardsai/jaskier-7b-dpo-v6.1   ibm/merlinite-7b   InferenceIllusionist/Magic-Dolphin-7b   SanjiWatsuki/Kunoichi-DPO-v2-7B   mlabonne/Monarch-7B   bardsai/jaskier-7b-dpo-v6.1
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2026-04-06
MaintainerInferenceIllusionist
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.1
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than InferenceIllusionist/Excalibur-7b.

Rank the Excalibur 7B 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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Release v20260328a