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Barely Regal 10.7B GGUF by sydonayrex

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Barely Regal 10.7B GGUF is an open-source language model by sydonayrex. Features: 10.7b LLM, VRAM: 6.5GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.13.

  Autotrain compatible Base model:quantized:sydonayre... Base model:sydonayrex/ai-m3-10...   Conversational   En   Endpoints compatible   Gguf   Mistral   Quantized   Region:us   Unsloth
Model Card on HF 🤗: https://huggingface.co/sydonayrex/Barely-Regal-10.7B-GGUF 

Barely Regal 10.7B GGUF Benchmarks

LLME Score: 0.13498
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 GGUF (sydonayrex/Barely-Regal-10.7B-GGUF)
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Barely Regal 10.7B GGUF Parameters and Internals

Model Type 
text generation
Additional Notes 
If issues occur, enable flash attn for corrections.
Training Details 
Methodology:
Layer merging and fine-tuning with SFT using Unsloth
LLM NameBarely Regal 10.7B GGUF
Repository 🤗https://huggingface.co/sydonayrex/Barely-Regal-10.7B-GGUF 
Base Model(s)  sydonayrex/AI-M3-10.7Bv2   sydonayrex/AI-M3-10.7Bv2
Model Size10.7b
Required VRAM6.5 GB
Updated2024-12-13
Maintainersydonayrex
Model Typemistral
Model Files  6.5 GB   11.4 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.42.0.dev0
Vocabulary Size32768
Torch Data Typebfloat16

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Rank the Barely Regal 10.7B GGUF 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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