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AksaraLLM Qwen 1.5B V5 Public by AksaraLLM

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AksaraLLM Qwen 1.5B V5 Public is an open-source language model by AksaraLLM. Features: 1.5b LLM, VRAM: 4GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.26.

  Aksarallm Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2-1.5b   Continued-pretrain   Conversational   Endpoints compatible   Id   Indonesian   Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/AksaraLLM/AksaraLLM-Qwen-1.5B-v5-public 

AksaraLLM Qwen 1.5B V5 Public Benchmarks

LLME Score: 0.26425
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
AksaraLLM Qwen 1.5B V5 Public (AksaraLLM/AksaraLLM-Qwen-1.5B-v5-public)
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AksaraLLM Qwen 1.5B V5 Public Parameters and Internals

LLM NameAksaraLLM Qwen 1.5B V5 Public
Repository 🤗https://huggingface.co/AksaraLLM/AksaraLLM-Qwen-1.5B-v5-public 
Base Model(s)  Qwen/Qwen2-1.5B   Qwen/Qwen2-1.5B
Model Size1.5b
Required VRAM4 GB
Updated2026-05-02
MaintainerAksaraLLM
Model Typeqwen2
Model Files  4.0 GB
Supported Languagesid
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than AksaraLLM/AksaraLLM-Qwen-1.5B-v5-public.

Rank the AksaraLLM Qwen 1.5B V5 Public 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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