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Lamarck 14B V0.6 by sometimesanotion

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  Merged Model   Arxiv:2412.17498   Autotrain compatible Base model:huihui-ai/qwen2.5-1... Base model:krystalan/drt-o1-14... Base model:sometimesanotion/ab... Base model:sometimesanotion/la... Base model:sometimesanotion/qw... Base model:sometimesanotion/qw... Base model:underwoods/medius-e...   Conversational   En   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/sometimesanotion/Lamarck-14B-v0.6 

Lamarck 14B V0.6 Benchmarks

MMLU Pro: 48.89
GPQA: 18.57
MUSR: 20.12
BBH: 49.3
IFEval: 69.73 vs 88 (so35)-20.8%
MATH Lvl 5: 35.65
LLME Score: 0.42534
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Lamarck 14B V0.6 (sometimesanotion/Lamarck-14B-v0.6)

Lamarck 14B V0.6 Parameters and Internals

LLM NameLamarck 14B V0.6
Repository 🤗https://huggingface.co/sometimesanotion/Lamarck-14B-v0.6 
Base Model(s)  sometimesanotion/Qwen2.5-14B-Vimarckoso-v3   sometimesanotion/Lamarck-14B-v0.3   Qwenvergence 14B V3 Prose   DRT O1 14B   Medius Erebus Magnum 14B   sometimesanotion/Abliterate-Qwenvergence   huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2   sometimesanotion/Qwen2.5-14B-Vimarckoso-v3   sometimesanotion/Lamarck-14B-v0.3   sometimesanotion/Qwenvergence-14B-v3-Prose   Krystalan/DRT-o1-14B   underwoods/medius-erebus-magnum-14b   sometimesanotion/Abliterate-Qwenvergence   huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2
Merged ModelYes
Model Size14b
Required VRAM29.7 GB
Updated2025-01-26
Maintainersometimesanotion
Model Typeqwen2
Instruction-BasedYes
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-v0.6.

Rank the Lamarck 14B V0.6 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Text Summarization and Feature Extraction  
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