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Templar V1 8B by ChaoticNeutrals

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  Merged Model   Autotrain compatible Base model:chaoticneutrals/t-9... Base model:finetune:chaoticneu...   Conversational   En   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/ChaoticNeutrals/Templar_v1_8B 

Templar V1 8B Benchmarks

LLME Score: 0.17754
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Templar V1 8B Parameters and Internals

Model Type 
roleplaying
Additional Notes 
A SLERP merge of T-900 and Nymph. This model is designed for roleplaying with emergent properties.
Supported Languages 
en ()
LLM NameTemplar V1 8B
Repository 🤗https://huggingface.co/ChaoticNeutrals/Templar_v1_8B 
Base Model(s)  T 900 8B   Nymph 8B   ChaoticNeutrals/T-900-8B   ResplendentAI/Nymph_8B
Merged ModelYes
Model Size8b
Required VRAM16.1 GB
Updated2025-06-09
MaintainerChaoticNeutrals
Model Typellama
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.41.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16
Templar V1 8B (ChaoticNeutrals/Templar_v1_8B)

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Note: green Score (e.g. "73.2") means that the model is better than ChaoticNeutrals/Templar_v1_8B.

Rank the Templar V1 8B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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