Omni Reasoner2 Merged by prithivMLmods

 »  All LLMs  »  prithivMLmods  »  Omni Reasoner2 Merged   URL Share it on

Omni Reasoner2 Merged is an open-source language model by prithivMLmods. Features: 14.7b LLM, VRAM: 29.5GB, Context: 16K, Merged, LLM Explorer Score: 0.17.

  Merged Model   Arxiv:2403.19522 Base model:prithivmlmods/phi-4... Base model:prithivmlmods/phi-4... Base model:prithivmlmods/phi-4... Base model:prithivmlmods/phi-4...   Conversational   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow

Omni Reasoner2 Merged Benchmarks

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

Omni Reasoner2 Merged Parameters and Internals

LLM NameOmni Reasoner2 Merged
Repository 🤗https://huggingface.co/prithivMLmods/Omni-Reasoner2-Merged 
Base Model(s)  Phi 4 Math IO   Phi 4 QwQ   Phi 4 O1   Phi 4 Empathetic   prithivMLmods/Phi-4-Math-IO   prithivMLmods/Phi-4-QwQ   prithivMLmods/Phi-4-o1   prithivMLmods/Phi-4-Empathetic
Merged ModelYes
Model Size14.7b
Required VRAM29.5 GB
Updated2026-05-18
MaintainerprithivMLmods
Model Typellama
Model Files  5.0 GB: 1-of-6   5.0 GB: 2-of-6   5.0 GB: 3-of-6   4.9 GB: 4-of-6   5.0 GB: 5-of-6   4.6 GB: 6-of-6
Model ArchitectureLlamaForCausalLM
Context Length16384
Model Max Length16384
Transformers Version4.46.2
Tokenizer ClassGPT2Tokenizer
Padding Token<|dummy_87|>
Vocabulary Size100352
Torch Data Typebfloat16

Best Alternatives to Omni Reasoner2 Merged

Best Alternatives
Context / RAM
Downloads
Likes
LWM Text 512K512K / 13.5 GB132
LWM Text Chat 512K512K / 13.5 GB112
LWM Text 256K256K / 13.5 GB123
LWM Text Chat 256K256K / 13.5 GB103
Pallas 0.5 LASER 0.1195K / 68.9 GB10402
Veena128K / 7.6 GB3406232
SnorTTS Indic V0128K / 9.5 GB85921
Llama 3.1 Medprm Reward V1.0128K / 16.1 GB66716
Orpheus AUS128K /  GB50
Finetuning Health Ci128K / 6.5 GB32
Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/Omni-Reasoner2-Merged.

Rank the Omni Reasoner2 Merged 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? 53999 in total.

Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a