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Veda Labs 0.5B Instruct Base by Hanuman2

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Veda Labs 0.5B Instruct Base is an open-source language model by Hanuman2. Features: 0.5b LLM, VRAM: 1GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.29.

  Conversational   En   Instruct   Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Hanuman2/Veda-labs-0.5b-instruct-base 

Veda Labs 0.5B Instruct Base Benchmarks

LLME Score: 0.28594
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Veda Labs 0.5B Instruct Base (Hanuman2/Veda-labs-0.5b-instruct-base)
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Veda Labs 0.5B Instruct Base Parameters and Internals

LLM NameVeda Labs 0.5B Instruct Base
Repository 🤗https://huggingface.co/Hanuman2/Veda-labs-0.5b-instruct-base 
Model Size0.5b
Required VRAM1 GB
Updated2026-06-24
MaintainerHanuman2
Model Typeqwen2
Instruction-BasedYes
Model Files  1.0 GB
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.43.1
Tokenizer ClassSupraLabsTokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Veda Labs 0.5B Instruct Base

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Qwen2 0.5B Abyme Merge3128K / 1.3 GB51
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Qwen2.5 0.5B Instruct64K / 1 GB70
Qwen2.5 0.5B Instruct32K / 1 GB6089483505
...5 0.5B Instruct Abliterated Ru32K / 2 GB4320
Q SS 0.5B Reasoning Math32K / 1 GB1842
Qwen2 0.5B Instruct32K / 1 GB1173535201
BoyBarley Sparky V332K / 1 GB920
DAC5.4 0.5B32K / 1 GB350
...ext Aware Abstention Qwen 0.5B32K / 2 GB480
Note: green Score (e.g. "73.2") means that the model is better than Hanuman2/Veda-labs-0.5b-instruct-base.

Rank the Veda Labs 0.5B Instruct Base Capabilities

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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  

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