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Dumpling Qwen2.5 32B V2 by nbeerbower

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Dumpling Qwen2.5 32B V2 is an open-source language model by nbeerbower. Features: 32b LLM, VRAM: 65.8GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.18.

Base model:finetune:nbeerbower... Base model:nbeerbower/rombos-e...   Conversational Dataset:antiven0m/physical-rea... Dataset:atsunori/helpsteer2-dp... Dataset:flammenai/date-dpo-noa... Dataset:flammenai/prude-phi3-d... Dataset:jondurbin/gutenberg-dp... Dataset:jondurbin/truthy-dpo-v... Dataset:nbeerbower/arkhaios-dp... Dataset:nbeerbower/greatfirewa... Dataset:nbeerbower/gutenberg-m... Dataset:nbeerbower/gutenberg2-...   Dataset:nbeerbower/purpura-dpo   Dataset:nbeerbower/schule-dpo   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nbeerbower/Dumpling-Qwen2.5-32B-v2 

Dumpling Qwen2.5 32B V2 Benchmarks

LLME Score: 0.17545
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Dumpling Qwen2.5 32B V2 (nbeerbower/Dumpling-Qwen2.5-32B-v2)
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Dumpling Qwen2.5 32B V2 Parameters and Internals

LLM NameDumpling Qwen2.5 32B V2
Repository 🤗https://huggingface.co/nbeerbower/Dumpling-Qwen2.5-32B-v2 
Base Model(s)  nbeerbower/Rombos-EVAGutenberg-TIES-Qwen2.5-32B   nbeerbower/Rombos-EVAGutenberg-TIES-Qwen2.5-32B
Model Size32b
Required VRAM65.8 GB
Updated2026-05-08
Maintainernbeerbower
Model Typeqwen2
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
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.48.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than nbeerbower/Dumpling-Qwen2.5-32B-v2.

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