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

Alpaca Data Score Max 0.3 2600 by godlikehhd

 »  All LLMs  »  godlikehhd  »  Alpaca Data Score Max 0.3 2600   URL Share it on

  5   
  Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/godlikehhd/alpaca_data_score_max_0.3_2600 

Alpaca Data Score Max 0.3 2600 Benchmarks

MMLU Pro: 21.26
GPQA: 5.26
MUSR: 8.23
BBH: 16.92
IFEval: 33.75 vs 88 (so35)-61.6%
MATH Lvl 5: 10.35
LLME Score: 0.26461
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
🌟 Advertise your project 🚀

Alpaca Data Score Max 0.3 2600 Parameters and Internals

LLM NameAlpaca Data Score Max 0.3 2600
Repository 🤗https://huggingface.co/godlikehhd/alpaca_data_score_max_0.3_2600 
Model Size1.5b
Required VRAM3.1 GB
Updated2025-04-08
Maintainergodlikehhd
Model Typeqwen2
Model Files  3.1 GB
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.46.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace
Alpaca Data Score Max 0.3 2600 (godlikehhd/alpaca_data_score_max_0.3_2600)

Best Alternatives to Alpaca Data Score Max 0.3 2600

Best Alternatives
Context / RAM
Downloads
Likes
ReaderLM V2500K / 3.1 GB11525646
Reader Lm 1.5B250K / 3.1 GB1158597
DeepSeek R1 Distill Qwen 1.5B128K / 3.5 GB12905691218
...n Research Reasoning Qwen 1.5B128K / 3.5 GB2937130
DeepScaleR 1.5B Preview128K / 7.1 GB91919558
Qwen2.5 1.5B128K / 3.1 GB547590104
OpenMath Nemotron 1.5B128K / 3.1 GB645521
AceInstruct 1.5B128K / 3.5 GB297720
DeepCoder 1.5B Preview128K / 7.1 GB178365
AlphaMaze V0.2 1.5B128K / 3.5 GB829491
Note: green Score (e.g. "73.2") means that the model is better than godlikehhd/alpaca_data_score_max_0.3_2600.

Rank the Alpaca Data Score Max 0.3 2600 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? 48023 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 v20241124
  Support LLM Explorer