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

Facebook Opt 125M HQQ 2bit Smashed by PrunaAI

 »  All LLMs  »  PrunaAI  »  Facebook Opt 125M HQQ 2bit Smashed   URL Share it on

  5   

Facebook Opt 125M HQQ 2bit Smashed is an open-source language model by PrunaAI. Features: 125m LLM, VRAM: 0.1GB, Context: 2K, Quantized, LLM Explorer Score: 0.13.

  2bit   Opt   Pruna-ai   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/PrunaAI/facebook-opt-125m-HQQ-2bit-smashed 

Facebook Opt 125M HQQ 2bit Smashed Benchmarks

LLME Score: 0.12589
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Facebook Opt 125M HQQ 2bit Smashed (PrunaAI/facebook-opt-125m-HQQ-2bit-smashed)
🌟 Advertise your project 🚀

Facebook Opt 125M HQQ 2bit Smashed Parameters and Internals

Model Type 
Compressed Model
LLM NameFacebook Opt 125M HQQ 2bit Smashed
Repository 🤗https://huggingface.co/PrunaAI/facebook-opt-125m-HQQ-2bit-smashed 
Model Size125m
Required VRAM0.1 GB
Updated2025-09-23
MaintainerPrunaAI
Model Typeopt
Model Files  0.1 GB
Quantization Type2bit
Model ArchitectureOPTForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.40.0
Vocabulary Size50272
Torch Data Typefloat16
Activation Functionrelu

Best Alternatives to Facebook Opt 125M HQQ 2bit Smashed

Best Alternatives
Context / RAM
Downloads
Likes
Opt 125M Bnb 4bit2K / 0.1 GB100402
...book Opt 125M HQQ 1bit Smashed2K / 0.1 GB62
Opt 125M2K / 0.3 GB9414291252
...125M Qcqa Ub 6 Best For Q Loss2K / 0.5 GB10050
...5M Qcqa Ub 6 Best For KV Cache2K / 0.5 GB9920
...25M Gqa Ub 6 Best For KV Cache2K / 0.5 GB9550
Opt 125M Gptq2K / 0.1 GB50
Quantized Opt 125M2K / 0.2 GB100
Galactica 125M Cot2K / 0.5 GB100
Opt 125M Gptq 4bit2K / 0.1 GB50
Note: green Score (e.g. "73.2") means that the model is better than PrunaAI/facebook-opt-125m-HQQ-2bit-smashed.

Rank the Facebook Opt 125M HQQ 2bit Smashed 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.

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.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a
  Support LLM Explorer