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Binarized Ingotrix Slerp 7B by liminerity

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Binarized Ingotrix Slerp 7B is an open-source language model by liminerity. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, Merged, HF Score: 76, LLM Explorer Score: 0.13, Arc: 73.2, HellaSwag: 88.6, MMLU: 64.9, TruthfulQA: 75.6, WinoGrande: 82.9, GSM8K: 71.1.

  Merged Model Base model:eren23/dpo-binarize... Base model:liminerity/ingot-7b...   Endpoints compatible Eren23/dpo-binarized-neuraltri... Liminerity/ingot-7b-slerp-7-fo...   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/liminerity/binarized-ingotrix-slerp-7b 

Binarized Ingotrix Slerp 7B Benchmarks

ARC: 73.21 vs 96.7 (so35)-24.3%
HellaSwag: 88.64 vs 95.3 (gpt4)-7%
MMLU: 64.85 vs 88.3 (so35)-26.6%
TruthfulQA: 75.57 vs 59 (gpt4)28.1%
WinoGrande: 82.87 vs 87.5 (gpt4)-5.3%
GSM8K: 71.11 vs 96.4 (so35)-26.2%
LLME Score: 0.12531
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Binarized Ingotrix Slerp 7B (liminerity/binarized-ingotrix-slerp-7b)
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Binarized Ingotrix Slerp 7B Parameters and Internals

Model Type 
text-generation
Additional Notes 
Merged using LazyMergekit.
LLM NameBinarized Ingotrix Slerp 7B
Repository 🤗https://huggingface.co/liminerity/binarized-ingotrix-slerp-7b 
Base Model(s)  DPO Binarized NeuralTrix 7B   liminerity/Ingot-7b-slerp-7-forged   eren23/dpo-binarized-NeuralTrix-7B   liminerity/Ingot-7b-slerp-7-forged
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2026-01-07
Maintainerliminerity
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than liminerity/binarized-ingotrix-slerp-7b.

Rank the Binarized Ingotrix Slerp 7B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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