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Qwen3 8B Instruct Indo Sft by ishala

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Qwen3 8B Instruct Indo Sft is an open-source language model by ishala. Features: 8b LLM, VRAM: 16.4GB, Context: 40K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.29.

  4bit   Conversational   En   Endpoints compatible   Instruct   Quantized   Qwen3   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/ishala/qwen3-8b-instruct-indo-sft 

Qwen3 8B Instruct Indo Sft Benchmarks

LLME Score: 0.29064
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 8B Instruct Indo Sft (ishala/qwen3-8b-instruct-indo-sft)
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Qwen3 8B Instruct Indo Sft Parameters and Internals

LLM NameQwen3 8B Instruct Indo Sft
Repository 🤗https://huggingface.co/ishala/qwen3-8b-instruct-indo-sft 
Base Model(s)  unsloth/qwen3-8b-unsloth-bnb-4bit   unsloth/qwen3-8b-unsloth-bnb-4bit
Model Size8b
Required VRAM16.4 GB
Updated2026-07-18
Maintainerishala
Model Typeqwen3
Instruction-BasedYes
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   5.0 GB: 3-of-4   1.6 GB: 4-of-4
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

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Rank the Qwen3 8B Instruct Indo Sft 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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