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Barely Regal 10.7B by sydonayrex

 »  All LLMs  »  sydonayrex  »  Barely Regal 10.7B   URL Share it on

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  Autotrain compatible Base model:finetune:sydonayrex... Base model:sydonayrex/ai-m3-10...   Conversational   En   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/sydonayrex/Barely-Regal-10.7B 

Barely Regal 10.7B Benchmarks

LLME Score: 0.19478
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Barely Regal 10.7B (sydonayrex/Barely-Regal-10.7B)

Barely Regal 10.7B Parameters and Internals

Model Type 
text generation
Training Details 
Methodology:
Layer merging and fine-tuning using SFT and further training with DPO or ORPO
Model Architecture:
Supersized using task arithmetic and fine-tuned with Unsloth
LLM NameBarely Regal 10.7B
Repository 🤗https://huggingface.co/sydonayrex/Barely-Regal-10.7B 
Base Model(s)  sydonayrex/AI-M3-10.7Bv2   sydonayrex/AI-M3-10.7Bv2
Model Size10.7b
Required VRAM21.5 GB
Updated2024-12-13
Maintainersydonayrex
Model Typemistral
Model Files  5.0 GB: 1-of-5   5.0 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   1.7 GB: 5-of-5
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token[control_768]
Vocabulary Size32768
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than sydonayrex/Barely-Regal-10.7B.

Rank the Barely Regal 10.7B 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 v20241227
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