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Ultiima 14B V0.4 by Sakalti

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  Merged Model   Autotrain compatible Base model:sometimesanotion/la... Base model:sometimesanotion/lo...   Conversational   Endpoints compatible   Lora   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Sakalti/ultiima-14B-v0.4 

Ultiima 14B V0.4 Benchmarks

MMLU Pro: 47.54
GPQA: 19.46
MUSR: 21.17
BBH: 48.25
IFEval: 30.08 vs 88 (so35)-65.8%
MATH Lvl 5: 35.35
LLME Score: 0.34667
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Ultiima 14B V0.4 (Sakalti/ultiima-14B-v0.4)

Ultiima 14B V0.4 Parameters and Internals

LLM NameUltiima 14B V0.4
Repository 🤗https://huggingface.co/Sakalti/ultiima-14B-v0.4 
Base Model(s)  sometimesanotion/Lamarck-14B-v0.7   sometimesanotion/LoRA-256-Base-Qwenvergence   sometimesanotion/Lamarck-14B-v0.7   sometimesanotion/LoRA-256-Base-Qwenvergence
Merged ModelYes
Model Size14b
Required VRAM29.7 GB
Updated2025-03-14
MaintainerSakalti
Model Typeqwen2
Model Files  4.9 GB: 1-of-6   5.0 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   5.0 GB: 5-of-6   4.8 GB: 6-of-6
Model ArchitectureQwen2ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.48.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151665
LoRA ModelYes
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Sakalti/ultiima-14B-v0.4.

Rank the Ultiima 14B V0.4 Capabilities

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Instruction Following and Task Automation  
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Release v20241227
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