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DiffuCoder 7B Instruct by apple

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DiffuCoder 7B Instruct is an open-source language model by apple. Features: 7b LLM, VRAM: 15.2GB, Context: 128K, License: apple-amlr, Instruction-Based, LLM Explorer Score: 0.24.

  Arxiv:2506.20639 Base model:apple/diffucoder-7b... Base model:finetune:apple/diff...   Code   Custom code   Diffusion large language model   Dream   Instruct   Region:us   Safetensors   Sharded   Tensorflow   Text-diffusion-model
Model Card on HF 🤗: https://huggingface.co/apple/DiffuCoder-7B-Instruct 

DiffuCoder 7B Instruct Benchmarks

LLME Score: 0.23734
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
DiffuCoder 7B Instruct (apple/DiffuCoder-7B-Instruct)
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DiffuCoder 7B Instruct Parameters and Internals

LLM NameDiffuCoder 7B Instruct
Repository 🤗https://huggingface.co/apple/DiffuCoder-7B-Instruct 
Base Model(s)  apple/DiffuCoder-7B-Base   apple/DiffuCoder-7B-Base
Model Size7b
Required VRAM15.2 GB
Updated2026-05-25
Maintainerapple
Model TypeDream
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
Model ArchitectureDreamModel
Licenseapple-amlr
Context Length131072
Model Max Length131072
Transformers Version4.51.3
Tokenizer ClassDreamTokenizer
Padding Token<|dlm_pad|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to DiffuCoder 7B Instruct

Best Alternatives
Context / RAM
Downloads
Likes
CADD Base 7B128K / 15.2 GB6219
Dream V0 Instruct 7B128K / 15.2 GB162755156
Bridge 7B Diffusion Full128K / 30.5 GB1322
DiffuCoder 7B CpGRPO128K / 15.2 GB1209318
Note: green Score (e.g. "73.2") means that the model is better than apple/DiffuCoder-7B-Instruct.

Rank the DiffuCoder 7B Instruct 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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