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Josiefied AbliteratedV4 Qwen2.5 14B Inst BaseMerge TIES by CombinHorizon

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Josiefied AbliteratedV4 Qwen2.5 14B Inst BaseMerge TIES is an open-source language model by CombinHorizon. Features: 14b LLM, VRAM: 29.7GB, Context: 128K, License: apache-2.0, Instruction-Based, Merged, LLM Explorer Score: 0.29.

  Merged Model   Arxiv:2306.01708   Arxiv:2407.10671 Base model:goekdeniz-guelmez/j...   Base model:qwen/qwen2.5-14b   Conversational   En   Endpoints compatible   Instruct   Qwen2   Qwen2.5   Region:us   Safetensors   Sharded   Tensorflow   Ties
Model Card on HF 🤗: https://huggingface.co/CombinHorizon/Josiefied-abliteratedV4-Qwen2.5-14B-Inst-BaseMerge-TIES 

Josiefied AbliteratedV4 Qwen2.5 14B Inst BaseMerge TIES Benchmarks

MMLU Pro: 44.21
GPQA: 9.96
MUSR: 12.65
BBH: 48.2
IFEval: 82.4 vs 88 (so35)-6.4%
MATH Lvl 5: 53.17
LLME Score: 0.28975
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Josiefied AbliteratedV4 Qwen2.5 14B Inst BaseMerge TIES (CombinHorizon/Josiefied-abliteratedV4-Qwen2.5-14B-Inst-BaseMerge-TIES)
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Josiefied AbliteratedV4 Qwen2.5 14B Inst BaseMerge TIES Parameters and Internals

LLM NameJosiefied AbliteratedV4 Qwen2.5 14B Inst BaseMerge TIES
Repository 🤗https://huggingface.co/CombinHorizon/Josiefied-abliteratedV4-Qwen2.5-14B-Inst-BaseMerge-TIES 
Base Model(s)  Goekdeniz-Guelmez/Josiefied-Qwen2.5-14B-Instruct-abliterated-v4   Qwen/Qwen2.5-14B   Goekdeniz-Guelmez/Josiefied-Qwen2.5-14B-Instruct-abliterated-v4   Qwen/Qwen2.5-14B
Merged ModelYes
Model Size14b
Required VRAM29.7 GB
Updated2026-03-31
MaintainerCombinHorizon
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 Version4.46.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than CombinHorizon/Josiefied-abliteratedV4-Qwen2.5-14B-Inst-BaseMerge-TIES.

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