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

RA2.0 by Daemontatox

 »  All LLMs  »  Daemontatox  »  RA2.0   URL Share it on

  8   
  Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2-math-7b-...   Conversational   En   Endpoints compatible   Instruct   Model-index   Pytorch   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/Daemontatox/RA2.0 

RA2.0 Benchmarks

MMLU Pro: 17.96
GPQA: 7.38
MUSR: 9.37
BBH: 28.47
IFEval: 37.84 vs 88 (so35)-57%
MATH Lvl 5: 33.91
LLME Score: 0.30858
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
RA2.0 (Daemontatox/RA2.0)

RA2.0 Parameters and Internals

LLM NameRA2.0
Repository 🤗https://huggingface.co/Daemontatox/RA2.0 
Base Model(s)  Qwen2 Math 7B Instruct   Qwen/Qwen2-Math-7B-Instruct
Model Size7b
Required VRAM15.2 GB
Updated2025-02-03
MaintainerDaemontatox
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4   4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.47.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

Best Alternatives to RA2.0

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 7B Instruct 1M986K / 15.4 GB25044175
Qwen2.5 7B RRP 1M986K / 15.2 GB974
COCO 7B Instruct 1M986K / 15.2 GB738
Q2.5 Instruct 1M Harmony986K / 15.2 GB350
Impish QWEN 7B 1M986K / 15.2 GB391
Qwen2.5 7B DeepSeek R1 1M986K / 15.2 GB508
MwM 7B CoT Merge1986K / 15.2 GB222
Mergekit Della Linear Vmeykci986K / 16.2 GB110
SJT 7B 1M986K / 15.2 GB131
....5 7B DeepSeek BunnyHarmony 1M986K / 14.8 GB01
Note: green Score (e.g. "73.2") means that the model is better than Daemontatox/RA2.0.

Rank the RA2.0 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? 42577 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