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Lamarck 14B V0.3 by sometimesanotion

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  Merged Model   Autotrain compatible Base model:arcee-ai/virtuoso-s... Base model:cultrix/qwen2.5-14b... Base model:cultrix/seqwence-14... Base model:sthenno-com/miscii-... Base model:underwoods/medius-e...   Conversational   En   Endpoints compatible   Model-index   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/sometimesanotion/Lamarck-14B-v0.3 

Lamarck 14B V0.3 Benchmarks

MMLU Pro: 49.01
GPQA: 18.46
MUSR: 18
BBH: 51.27
IFEval: 50.32 vs 88 (so35)-42.8%
MATH Lvl 5: 34.06
LLME Score: 0.33112
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Lamarck 14B V0.3 (sometimesanotion/Lamarck-14B-v0.3)

Lamarck 14B V0.3 Parameters and Internals

LLM NameLamarck 14B V0.3
Repository 🤗https://huggingface.co/sometimesanotion/Lamarck-14B-v0.3 
Base Model(s)  Virtuoso Small   SeQwence 14B EvolMerge   CultriX/Qwen2.5-14B-Wernicke   Miscii 14B 1028   Medius Erebus Magnum 14B   Lamarck 14B Prose Model Stock   sometimesanotion/lamarck-14b-reason-model_stock   arcee-ai/Virtuoso-Small   CultriX/SeQwence-14B-EvolMerge   CultriX/Qwen2.5-14B-Wernicke   sthenno-com/miscii-14b-1028   underwoods/medius-erebus-magnum-14b   sometimesanotion/lamarck-14b-prose-model_stock   sometimesanotion/lamarck-14b-reason-model_stock
Merged ModelYes
Model Size14b
Required VRAM29.7 GB
Updated2025-01-25
Maintainersometimesanotion
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
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.45.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151665
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than sometimesanotion/Lamarck-14B-v0.3.

Rank the Lamarck 14B V0.3 Capabilities

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Instruction Following and Task Automation  
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