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Q2.5 32B Slush by crestf411

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  Arxiv:2306.01708   Arxiv:2402.12354   Arxiv:2403.00946   Arxiv:2410.21228   Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-32b-in...   Conversational Dataset:anthracite-org/c2 logs... Dataset:anthracite-org/kalo-op... Dataset:anthracite-org/kalo-op... Dataset:anthracite-org/nopm cl...   Dataset:crestf411/limarp-ds Dataset:gryphe/sonnet3.5-charc...   Endpoints compatible   Instruct   Mergekit   Not-for-all-audiences   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/crestf411/Q2.5-32B-Slush 

Q2.5 32B Slush Benchmarks

LLME Score: 0.25504
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Q2.5 32B Slush (crestf411/Q2.5-32B-Slush)

Q2.5 32B Slush Parameters and Internals

LLM NameQ2.5 32B Slush
Repository 🤗https://huggingface.co/crestf411/Q2.5-32B-Slush 
Base Model(s)  Qwen/Qwen2.5-32B-Instruct   Qwen/Qwen2.5-32B-Instruct
Model Size32b
Required VRAM65.7 GB
Updated2025-02-05
Maintainercrestf411
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
Model ArchitectureQwen2ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.46.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151665
Torch Data Typebfloat16
Errorsreplace

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Context / RAM
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...y Qwen2.5coder 32B V24.1q 200K195K / 65.8 GB122
...wen2.5 32B Inst BaseMerge TIES128K / 65.8 GB3619
...wen2.5 32B Inst BaseMerge TIES128K / 65.8 GB181
Franqwenstein 35B128K / 69.8 GB2578
EVA Qwen2.5 32B V0.2128K / 65.8 GB345048
...1 Qwen2.5 Instruct 32B Preview128K / 65.8 GB1747
QwQenSeek Coder128K / 65.7 GB584
EVA Qwen2.5 32B V0.0128K / 65.8 GB104826
Qwenstein2.5 32B Instruct128K / 65.5 GB942
EVA Qwen2.5 32B V0.1128K / 65.8 GB99514
Note: green Score (e.g. "73.2") means that the model is better than crestf411/Q2.5-32B-Slush.

Rank the Q2.5 32B Slush 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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Release v20241227
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