LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

Barely Regal 10.7B by sydonayrex

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

  19   
  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: 0.15909
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)
🌟 Advertise your project 🚀

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

Best Alternatives to Barely Regal 10.7B

Best Alternatives
Context / RAM
Downloads
Likes
Quintellect 10.7B32K / 21.4 GB223
PiVoT 10.7B Mistral V0.232K / 21.4 GB7465
Multi Verse Model 10.7B32K / 21.5 GB51
PrimaSumika 10.7B 128K32K / 21.5 GB01
Chikuma 10.7B32K / 21.4 GB55
Longcat 10.7B32K / 21.5 GB53
... Loyal Mistral Maid 32K V0.2 A32K / 21.5 GB51
PiVoT 10.7B Mistral V0.2 RP32K / 21.4 GB7417
Chikuma 10.7B V232K / 21.4 GB531
Mark1 Revision 10.7B32K / 42.9 GB41

Rank the Barely Regal 10.7B 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  

What open-source LLMs or SLMs are you in search of? 51544 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
  Support LLM Explorer