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Inexpertus 1.1 8B LINEAR by DreadPoor

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Inexpertus 1.1 8B LINEAR is an open-source language model by DreadPoor. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, LLM Explorer Score: 0.27.

  Arxiv:2203.05482   Autotrain compatible Base model:dreadpoor/baezel-8b... Base model:dreadpoor/h the eig... Base model:dreadpoor/rusted pl... Base model:dreadpoor/spring du... Base model:merge:dreadpoor/bae... Base model:merge:dreadpoor/h t... Base model:merge:dreadpoor/rus... Base model:merge:dreadpoor/spr...   Conversational   Endpoints compatible   Llama   Merge   Mergekit   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/DreadPoor/inexpertus_1.1-8B-LINEAR 

Inexpertus 1.1 8B LINEAR Benchmarks

MMLU Pro: 31.41
GPQA: 6.38
MUSR: 11.1
BBH: 36.2
IFEval: 75.27 vs 88 (so35)-14.5%
MATH Lvl 5: 17.3
LLME Score: 0.26772
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Inexpertus 1.1 8B LINEAR (DreadPoor/inexpertus_1.1-8B-LINEAR)
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Inexpertus 1.1 8B LINEAR Parameters and Internals

LLM NameInexpertus 1.1 8B LINEAR
Repository 🤗https://huggingface.co/DreadPoor/inexpertus_1.1-8B-LINEAR 
Base Model(s)  Rusted Platinum 8B LINEAR   H The Eighth 8B LINEAR   DreadPoor/Spring_Dusk-8B-SCE   BaeZel 8B LINEAR   DreadPoor/Rusted_Platinum-8B-LINEAR   DreadPoor/H_the_eighth-8B-LINEAR   DreadPoor/Spring_Dusk-8B-SCE   DreadPoor/BaeZel-8B-LINEAR
Model Size8b
Required VRAM16.1 GB
Updated2025-10-12
MaintainerDreadPoor
Model Typellama
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Model ArchitectureLlamaForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.49.0
Tokenizer ClassPreTrainedTokenizer
Vocabulary Size128256
Torch Data Typebfloat16

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