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Ultiima 32B by Sakalti

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Ultiima 32B is an open-source language model by Sakalti. Features: 32b LLM, VRAM: 65.8GB, Context: 128K, License: apache-2.0, Merged, LLM Explorer Score: 0.3.

  Merged Model   Arxiv:2306.01708   Base model:qwen/qwen2.5-32b Base model:qwen/qwen2.5-32b-in...   Conversational   Endpoints compatible   Model-index   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Sakalti/ultiima-32B 

Ultiima 32B Benchmarks

MMLU Pro: 54.56
GPQA: 17.45
MUSR: 24.13
BBH: 58.11
IFEval: 68.54 vs 88 (so35)-22.1%
MATH Lvl 5: 49.62
LLME Score: 0.30093
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Ultiima 32B (Sakalti/ultiima-32B)
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Ultiima 32B Parameters and Internals

LLM NameUltiima 32B
Repository 🤗https://huggingface.co/Sakalti/ultiima-32B 
Base Model(s)  Qwen/Qwen2.5-32B-Instruct   Qwen/Qwen2.5-32B   Qwen/Qwen2.5-32B-Instruct   Qwen/Qwen2.5-32B
Merged ModelYes
Model Size32b
Required VRAM65.8 GB
Updated2026-02-01
MaintainerSakalti
Model Typeqwen2
Model Files  5.0 GB: 1-of-14   5.0 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
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.46.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

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Openbuddy Qwq 32B V24.2 200K195K / 65.8 GB233
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...wen2.5 32B Inst BaseMerge TIES128K / 65.8 GB6517
OpenReasoning Nemotron 32B128K / 65.8 GB104686123
Note: green Score (e.g. "73.2") means that the model is better than Sakalti/ultiima-32B.

Rank the Ultiima 32B 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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