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DiffuCoder 7B CpGRPO by apple

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DiffuCoder 7B CpGRPO is an open-source language model by apple. Features: 7b LLM, VRAM: 15.2GB, Context: 128K, License: apple-amlr, Instruction-Based, LLM Explorer Score: 0.28.

  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-cpGRPO 

DiffuCoder 7B CpGRPO Benchmarks

LLME Score: 0.27983
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
DiffuCoder 7B CpGRPO (apple/DiffuCoder-7B-cpGRPO)
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DiffuCoder 7B CpGRPO Parameters and Internals

LLM NameDiffuCoder 7B CpGRPO
Repository 🤗https://huggingface.co/apple/DiffuCoder-7B-cpGRPO 
Base Model(s)  DiffuCoder 7B Instruct   apple/DiffuCoder-7B-Instruct
Model Size7b
Required VRAM15.2 GB
Updated2026-03-29
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   0.0 GB
Model ArchitectureDreamModel
Licenseapple-amlr
Context Length131072
Model Max Length131072
Transformers Version4.52.0.dev0
Tokenizer ClassDreamTokenizer
Padding Token<|dlm_pad|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Quantized Models of the DiffuCoder 7B CpGRPO

Model
Likes
Downloads
VRAM
DiffuCoder 7B CpGRPO 8bit8898 GB
DiffuCoder 7B CpGRPO 4bit3284 GB

Best Alternatives to DiffuCoder 7B CpGRPO

Best Alternatives
Context / RAM
Downloads
Likes
Dream V0 Instruct 7B128K / 15.2 GB104003154
DiffuCoder 7B Instruct128K / 15.2 GB521750
Note: green Score (e.g. "73.2") means that the model is better than apple/DiffuCoder-7B-cpGRPO.

Rank the DiffuCoder 7B CpGRPO 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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