Qwen2.5 7B Instruct 1M 4bit by mlx-community

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Qwen2.5 7B Instruct 1M 4bit is an open-source language model by mlx-community. Features: 7b LLM, VRAM: 4.3GB, Context: 986K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.19.

  4-bit   4bit Base model:quantized:qwen/qwen... Base model:qwen/qwen2.5-7b-ins...   Chat   Conversational   En   Endpoints compatible   Instruct   Mlx   Quantized   Qwen2   Region:us   Safetensors

Qwen2.5 7B Instruct 1M 4bit Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Qwen2.5 7B Instruct 1M 4bit Parameters and Internals

LLM NameQwen2.5 7B Instruct 1M 4bit
Repository 🤗https://huggingface.co/mlx-community/Qwen2.5-7B-Instruct-1M-4bit 
Base Model(s)  Qwen/Qwen2.5-7B-Instruct-1M   Qwen/Qwen2.5-7B-Instruct-1M
Model Size7b
Required VRAM4.3 GB
Updated2026-03-03
Maintainermlx-community
Model Typeqwen2
Instruction-BasedYes
Model Files  4.3 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length1010000
Model Max Length1010000
Transformers Version4.47.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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...B Instruct 1M Unsloth Bnb 4bit986K / 7.5 GB773
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Qwen2.5 7B Instruct 1M 6bit986K / 6.2 GB302
Alisia 7B Instruct V1128K / 15.4 GB1142
...5 7B Instruct SFT Meme LoRA V7128K / 15.2 GB60
Gte Qwen2 7B Instruct 4bit DWQ128K / 4.3 GB783
Bullshit 7B V232K / 15.2 GB2940
Distill Qw Test32K / 15.2 GB50
Zirel 7B Math32K / 15.2 GB220
Securereview 7B Mlx 4bit32K / 4.3 GB152
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Qwen2.5-7B-Instruct-1M-4bit.

Rank the Qwen2.5 7B Instruct 1M 4bit 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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Release v20260328a