Qwen2.5.1 Coder 7B Instruct 8bit by mlx-community

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Qwen2.5.1 Coder 7B Instruct 8bit is an open-source language model by mlx-community. Features: 7b LLM, VRAM: 8.1GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, Code Generating, LLM Explorer Score: 0.17.

  8-bit   8bit Base model:quantized:qwen/qwen... Base model:qwen/qwen2.5-coder-...   Chat   Code   Codegen   Codeqwen   Conversational   En   Endpoints compatible   Instruct   Mlx   Quantized   Qwen   Qwen-coder   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Qwen2.5.1 Coder 7B Instruct 8bit Benchmarks

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

Qwen2.5.1 Coder 7B Instruct 8bit Parameters and Internals

LLM NameQwen2.5.1 Coder 7B Instruct 8bit
Repository 🤗https://huggingface.co/mlx-community/Qwen2.5.1-Coder-7B-Instruct-8bit 
Base Model(s)  Qwen/Qwen2.5-Coder-7B-Instruct   Qwen/Qwen2.5-Coder-7B-Instruct
Model Size7b
Required VRAM8.1 GB
Updated2026-04-20
Maintainermlx-community
Model Typeqwen2
Instruction-BasedYes
Model Files  5.3 GB: 1-of-2   2.8 GB: 2-of-2
Supported Languagesen
Quantization Type8bit
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.43.1
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 mlx-community/Qwen2.5.1-Coder-7B-Instruct-8bit.

Rank the Qwen2.5.1 Coder 7B Instruct 8bit 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