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Qwen2.5 32B Juicy Snowballs by Yobenboben

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Qwen2.5 32B Juicy Snowballs is an open-source language model by Yobenboben. Features: 32b LLM, VRAM: 65.7GB, Context: 128K, Merged, LLM Explorer Score: 0.2.

  Merged Model   Arxiv:2306.01708   Autotrain compatible Base model:arliai/qwq-32b-arli... Base model:trashpanda-org/qwen... Base model:trashpanda-org/qwen...   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Yobenboben/Qwen2.5-32B-Juicy_Snowballs 

Qwen2.5 32B Juicy Snowballs Benchmarks

LLME Score: 0.20476
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 32B Juicy Snowballs (Yobenboben/Qwen2.5-32B-Juicy_Snowballs)
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Qwen2.5 32B Juicy Snowballs Parameters and Internals

LLM NameQwen2.5 32B Juicy Snowballs
Repository 🤗https://huggingface.co/Yobenboben/Qwen2.5-32B-Juicy_Snowballs 
Base Model(s)  QwQ 32B ArliAI RpR V1   trashpanda-org/Qwen2.5-32B-Marigold-v1   trashpanda-org/Qwen2.5-32B-Marigold-v0   mergekit-community/Qwen2.5-32B-gokgok-step3   ArliAI/QwQ-32B-ArliAI-RpR-v1   trashpanda-org/Qwen2.5-32B-Marigold-v1   trashpanda-org/Qwen2.5-32B-Marigold-v0   mergekit-community/Qwen2.5-32B-gokgok-step3
Merged ModelYes
Model Size32b
Required VRAM65.7 GB
Updated2025-09-23
MaintainerYobenboben
Model Typeqwen2
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
Model ArchitectureQwen2ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.51.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151669
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Yobenboben/Qwen2.5-32B-Juicy_Snowballs.

Rank the Qwen2.5 32B Juicy Snowballs Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
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Text Summarization and Feature Extraction  
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