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Openbuddy Qwen2.5coder 32B V24.1q 200K by OpenBuddy

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Openbuddy Qwen2.5coder 32B V24.1q 200K is an open-source language model by OpenBuddy. Features: 32b LLM, VRAM: 65.8GB, Context: 195K, License: apache-2.0, Instruction-Based, Code Generating, LLM Explorer Score: 0.17.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-coder-...   Codegen   Conversational   De   En   Fi   Fr   Instruct   It   Ja   Ko   Qwen2   Qwen2.5   Region:us   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/OpenBuddy/openbuddy-qwen2.5coder-32b-v24.1q-200k 

Openbuddy Qwen2.5coder 32B V24.1q 200K Benchmarks

LLME Score: 0.1665
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Openbuddy Qwen2.5coder 32B V24.1q 200K (OpenBuddy/openbuddy-qwen2.5coder-32b-v24.1q-200k)
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Openbuddy Qwen2.5coder 32B V24.1q 200K Parameters and Internals

LLM NameOpenbuddy Qwen2.5coder 32B V24.1q 200K
Repository 🤗https://huggingface.co/OpenBuddy/openbuddy-qwen2.5coder-32b-v24.1q-200k 
Base Model(s)  Qwen/Qwen2.5-Coder-32B-Instruct   Qwen/Qwen2.5-Coder-32B-Instruct
Model Size32b
Required VRAM65.8 GB
Updated2026-04-11
MaintainerOpenBuddy
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-14   4.9 GB: 2-of-14   4.9 GB: 3-of-14   4.9 GB: 4-of-14   4.9 GB: 5-of-14   4.9 GB: 6-of-14   4.9 GB: 7-of-14   4.9 GB: 8-of-14   4.9 GB: 9-of-14   4.9 GB: 10-of-14   4.9 GB: 11-of-14   4.9 GB: 12-of-14   4.9 GB: 13-of-14   2.1 GB: 14-of-14
Supported Languageszh en fr de ja ko it fi
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length200000
Model Max Length200000
Transformers Version4.47.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|pad0|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than OpenBuddy/openbuddy-qwen2.5coder-32b-v24.1q-200k.

Rank the Openbuddy Qwen2.5coder 32B V24.1q 200K 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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