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

ECE PRYMMAL0.5 FT by Youlln

 »  All LLMs  »  Youlln  »  ECE PRYMMAL0.5 FT   URL Share it on

  29   

ECE PRYMMAL0.5 FT is an open-source language model by Youlln. Features: 0.5b LLM, VRAM: 2GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.17.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-0.5b-i...   Conversational Dataset:databricks/databricks-...   Endpoints compatible   Instruct   Model-index   Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Youlln/ECE-PRYMMAL0.5-FT 

ECE PRYMMAL0.5 FT Benchmarks

LLME Score: 0.16786
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ECE PRYMMAL0.5 FT (Youlln/ECE-PRYMMAL0.5-FT)
🌟 Advertise your project 🚀

ECE PRYMMAL0.5 FT Parameters and Internals

LLM NameECE PRYMMAL0.5 FT
Repository 🤗https://huggingface.co/Youlln/ECE-PRYMMAL0.5-FT 
Base Model(s)  Qwen/Qwen2.5-0.5B-Instruct   Qwen/Qwen2.5-0.5B-Instruct
Model Size0.5b
Required VRAM2 GB
Updated2026-05-12
MaintainerYoulln
Model Typeqwen2
Instruction-BasedYes
Model Files  2.0 GB
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.44.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat32
Errorsreplace

Best Alternatives to ECE PRYMMAL0.5 FT

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2 0.5B Abyme Merge3128K / 1.3 GB261
Qwen2 0.5B Abyme Merge2128K / 0.3 GB220
Qwen2.5 0.5B Instruct64K / 1 GB70
Qwen2.5 0.5B Instruct32K / 1 GB6089483505
...5 0.5B Instruct Abliterated Ru32K / 2 GB3790
Q SS 0.5B Reasoning Math32K / 1 GB592
BoyBarley Sparky V332K / 1 GB2250
Qwen2 0.5B Instruct32K / 1 GB1440477200
...ext Aware Abstention Qwen 0.5B32K / 2 GB480
DAC5.4 0.5B32K / 1 GB340
Note: green Score (e.g. "73.2") means that the model is better than Youlln/ECE-PRYMMAL0.5-FT.

Rank the ECE PRYMMAL0.5 FT 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? 53972 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