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

Slc Opt 125M Gptq by superlazycoder

 »  All LLMs  »  superlazycoder  »  Slc Opt 125M Gptq   URL Share it on

  78   

Slc Opt 125M Gptq is an open-source language model by superlazycoder. Features: 125m LLM, VRAM: 0.1GB, Context: 2K, License: other, Quantized, LLM Explorer Score: 0.12.

  Arxiv:1910.09700   4-bit   Endpoints compatible   Gptq   Opt   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/superlazycoder/slc-opt-125m-gptq 

Slc Opt 125M Gptq Benchmarks

LLME Score: 0.12352
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Slc Opt 125M Gptq (superlazycoder/slc-opt-125m-gptq)
🌟 Advertise your project 🚀

Slc Opt 125M Gptq Parameters and Internals

LLM NameSlc Opt 125M Gptq
Repository 🤗https://huggingface.co/superlazycoder/slc-opt-125m-gptq 
Model Size125m
Required VRAM0.1 GB
Updated2026-04-07
Maintainersuperlazycoder
Model Typeopt
Model Files  0.1 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureOPTForCausalLM
Licenseother
Context Length2048
Model Max Length2048
Transformers Version4.39.0.dev0
Tokenizer ClassGPT2Tokenizer
Padding Token<pad>
Vocabulary Size50272
Torch Data Typefloat16
Activation Functionrelu
Errorsreplace

Best Alternatives to Slc Opt 125M Gptq

Best Alternatives
Context / RAM
Downloads
Likes
Opt 125M Gptq2K / 0.1 GB36370
Opt 125M Gptq2K / 0.1 GB50
Quantized Opt 125M2K / 0.2 GB60
Opt 125M Gptq 4bit2K / 0.1 GB50
Opt 125M GPTQ 22K / 0.1 GB41
Opt 125M Gptq 4bits2K / 0.1 GB31
Opt 125M Gptq2K / 0.1 GB41
Opt 125M Gptq 4bit2K / 0.1 GB4310
Opt 125M Gptq 4bit2K / 0.1 GB60
Opt 125M 4bit 128g2K / 0.2 GB51
Note: green Score (e.g. "73.2") means that the model is better than superlazycoder/slc-opt-125m-gptq.

Rank the Slc Opt 125M Gptq 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? 52721 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