Magnum DareLinearAbliterated Instruct DPO by rityak

 ยป  All LLMs  ยป  rityak  ยป  Magnum DareLinearAbliterated Instruct DPO   URL Share it on

  Merged Model   Arxiv:2311.03099   Autotrain compatible Base model:huihui-ai/mistral-n... Base model:parasiticrogue/magn...   Conversational   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Magnum DareLinearAbliterated Instruct DPO Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Magnum DareLinearAbliterated Instruct DPO (rityak/Magnum-DareLinearAbliterated-Instruct-DPO)

Magnum DareLinearAbliterated Instruct DPO Parameters and Internals

LLM NameMagnum DareLinearAbliterated Instruct DPO
Repository ๐Ÿค—https://huggingface.co/rityak/Magnum-DareLinearAbliterated-Instruct-DPO 
Base Model(s)  ...Nemo Instruct 2407 Abliterated   Magnum Instruct DPO 12B   huihui-ai/Mistral-Nemo-Instruct-2407-abliterated   ParasiticRogue/Magnum-Instruct-DPO-12B
Merged ModelYes
Model Size12b
Required VRAM24.5 GB
Updated2025-01-17
Maintainerrityak
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-5   4.9 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   4.9 GB: 5-of-5
Model ArchitectureMistralForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.46.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size131072
Torch Data Typebfloat16

Best Alternatives to Magnum DareLinearAbliterated Instruct DPO

Best Alternatives
Context / RAM
Downloads
Likes
...r Nemo 12B Instruct R 21 09 241000K / 24.5 GB856299
SauerkrautLM Nemo 12B Instruct1000K / 24.5 GB566222
Magnum V4 12B1000K / 24.5 GB71937
Mistral Nemo Wissenschaft 12B1000K / 24.5 GB47276
MN Slush1000K / 24.5 GB19015
ChatWaifu 12B V2.01000K / 24.5 GB10718
ChatWaifu V1.41000K / 24.5 GB4016
...tral Nemo Gutenberg Doppel 12B1000K / 24.5 GB595
Mistral Nemo Bophades 12B1000K / 24.5 GB798
...stral Nemo Gutenberg2 12B Test1000K / 24.5 GB141
Note: green Score (e.g. "73.2") means that the model is better than rityak/Magnum-DareLinearAbliterated-Instruct-DPO.

Rank the Magnum DareLinearAbliterated Instruct DPO Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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? 41537 in total.

Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227