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Qwen2.5 1.5B Instruct 4bit by mlx-community

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Qwen2.5 1.5B Instruct 4bit is an open-source language model by mlx-community. Features: 1.5b LLM, VRAM: 0.9GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.19.

  4bit Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2.5-1.5b   Chat   Conversational   En   Instruct   Mlx   Quantized   Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/mlx-community/Qwen2.5-1.5B-Instruct-4bit 

Qwen2.5 1.5B Instruct 4bit Benchmarks

LLME Score: 0.18846
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 1.5B Instruct 4bit (mlx-community/Qwen2.5-1.5B-Instruct-4bit)

Qwen2.5 1.5B Instruct 4bit Parameters and Internals

LLM NameQwen2.5 1.5B Instruct 4bit
Repository 🤗https://huggingface.co/mlx-community/Qwen2.5-1.5B-Instruct-4bit 
Base Model(s)  Qwen/Qwen2.5-1.5B   Qwen/Qwen2.5-1.5B
Model Size1.5b
Required VRAM0.9 GB
Updated2026-08-01
Maintainermlx-community
Model Typeqwen2
Instruction-BasedYes
Model Files  0.9 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.43.1
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 mlx-community/Qwen2.5-1.5B-Instruct-4bit.

Rank the Qwen2.5 1.5B Instruct 4bit Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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