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

Qwen1.5 0.5B Chat SFT MCQA by attention-avengers

 »  All LLMs  »  attention-avengers  »  Qwen1.5 0.5B Chat SFT MCQA   URL Share it on

  166   
  Autotrain compatible   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/attention-avengers/Qwen1.5-0.5B-Chat-SFT-MCQA 

Qwen1.5 0.5B Chat SFT MCQA Benchmarks

LLME Score: 0.19838
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen1.5 0.5B Chat SFT MCQA (attention-avengers/Qwen1.5-0.5B-Chat-SFT-MCQA)

Qwen1.5 0.5B Chat SFT MCQA Parameters and Internals

LLM NameQwen1.5 0.5B Chat SFT MCQA
Repository 🤗https://huggingface.co/attention-avengers/Qwen1.5-0.5B-Chat-SFT-MCQA 
Model Size0.5b
Required VRAM0.9 GB
Updated2025-02-22
Maintainerattention-avengers
Model Typeqwen2
Model Files  0.9 GB
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.42.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|im_end|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Quantized Models of the Qwen1.5 0.5B Chat SFT MCQA

Model
Likes
Downloads
VRAM
...wen1.5 0.5B Chat SFT MCQA GPTQ0800 GB
Qwen1.5 0.5B Chat SFT MCQA AWQ0780 GB

Best Alternatives to Qwen1.5 0.5B Chat SFT MCQA

Best Alternatives
Context / RAM
Downloads
Likes
Reader Lm 0.5B250K / 1 GB450135
Qwen2 0.5B128K / 1 GB623886134
...PRYMMAL 0.5B FT V4 MUSR Mathis128K / 1 GB621
...0.5B FT EnhancedMUSREnsembleV3128K / 1 GB321
....5B FT V4 MUSR ENSEMBLE Mathis128K / 2 GB301
...0.5B FT MUSR ENSEMBLE V2Mathis128K / 1 GB250
ECE PRYMMAL 0.5B FT V3 MUSR128K / 2 GB670
ECE PRYMMAL 0.5B FT V4 MUSR128K / 2 GB680
Qwen2 0.5B128K / 1 GB55703
ECE PRYMMAL0.5B Youri128K / 1.3 GB31
Note: green Score (e.g. "73.2") means that the model is better than attention-avengers/Qwen1.5-0.5B-Chat-SFT-MCQA.

Rank the Qwen1.5 0.5B Chat SFT MCQA 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? 43470 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.
Release v20241227
  Support LLM Explorer