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QwQenSeek Coder by Ba2han

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  Merged Model   Arxiv:2403.19522   Autotrain compatible Base model:deepseek-ai/deepsee...   Base model:qwen/qwen2.5-32b Base model:qwen/qwen2.5-32b-in... Base model:qwen/qwen2.5-coder-... Base model:qwen/qwq-32b-previe...   Codegen   Conversational   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Ba2han/QwQenSeek-coder 

QwQenSeek Coder Benchmarks

LLME Score: 0.23856
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
QwQenSeek Coder (Ba2han/QwQenSeek-coder)

QwQenSeek Coder Parameters and Internals

LLM NameQwQenSeek Coder
Repository 🤗https://huggingface.co/Ba2han/QwQenSeek-coder 
Base Model(s)  Qwen/Qwen2.5-32B-Instruct   Qwen/Qwen2.5-32B   QwQ 32B Preview   DeepSeek R1 Distill Qwen 32B   Qwen/Qwen2.5-Coder-32B-Instruct   Qwen/Qwen2.5-32B-Instruct   Qwen/Qwen2.5-32B   Qwen/QwQ-32B-Preview   deepseek-ai/DeepSeek-R1-Distill-Qwen-32B   Qwen/Qwen2.5-Coder-32B-Instruct
Merged ModelYes
Model Size32b
Required VRAM65.7 GB
Updated2025-04-18
MaintainerBa2han
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 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   1.9 GB: 14-of-14
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.48.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151665
Torch Data Typebfloat16
Errorsreplace

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...y Qwen2.5coder 32B V24.1q 200K195K / 65.8 GB132
Qwen2.5 32B YOYO MIX128K / 65.7 GB242
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Rombos Coder V2.5 Qwen 32B128K / 65.8 GB1518
Tessa T1 32B117K / 65.8 GB12817
UIGEN T1.5 32B117K / 65.8 GB614
Qwen2.5 Coder 32B Instruct32K / 65.8 GB4251621785
Openhands Lm 32B V0.132K / 65.8 GB127936348
OlympicCoder 32B32K / 65.8 GB2843149
Qwen2.5 Test 32B It32K / 65.8 GB7110
Note: green Score (e.g. "73.2") means that the model is better than Ba2han/QwQenSeek-coder.

Rank the QwQenSeek Coder Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20241227
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