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Malaysian Qwen2.5 7B Instruct by mesolitica

By mesolitica · 119 downloads

Malaysian Qwen2.5 7B Instruct is an open-source language model by mesolitica. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, Instruction-Based, LLM Explorer Score: 0.17.

  En   Instruct   Ms   Qwen2   Region:us   Safetensors   Sharded   Ta   Tensorflow   Zh

Malaysian Qwen2.5 7B Instruct Parameters and Internals

LLM NameMalaysian Qwen2.5 7B Instruct
Repository πŸ€—https://huggingface.co/mesolitica/Malaysian-Qwen2.5-7B-Instruct 
Model Size7b
Required VRAM15.2 GB
Updated2026-08-14
Maintainermesolitica
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
Supported Languagesms en zh ta
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.51.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than mesolitica/Malaysian-Qwen2.5-7B-Instruct.