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GritLM 8x7B KTO by GritLM

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  9842   
  Arxiv:2402.01306   Arxiv:2402.09906   Autotrain compatible   Conversational   Custom code   Dataset:gritlm/tulu2   Endpoints compatible   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/GritLM/GritLM-8x7B-KTO 

GritLM 8x7B KTO Benchmarks

MMLU Pro: 29.42
GPQA: 6.15
MUSR: 11.67
BBH: 40.83
IFEval: 57.14 vs 88 (so35)-35.1%
MATH Lvl 5: 12.24
LLME Score: 0.27464
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
GritLM 8x7B KTO (GritLM/GritLM-8x7B-KTO)
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GritLM 8x7B KTO Parameters and Internals

Model Type 
text generation
LLM NameGritLM 8x7B KTO
Repository 🤗https://huggingface.co/GritLM/GritLM-8x7B-KTO 
Model Size46.7b
Required VRAM93.6 GB
Updated2025-07-30
MaintainerGritLM
Model Typemixtral
Model Files  4.9 GB: 1-of-19   5.0 GB: 2-of-19   5.0 GB: 3-of-19   4.9 GB: 4-of-19   5.0 GB: 5-of-19   5.0 GB: 6-of-19   4.9 GB: 7-of-19   5.0 GB: 8-of-19   5.0 GB: 9-of-19   4.9 GB: 10-of-19   5.0 GB: 11-of-19   5.0 GB: 12-of-19   5.0 GB: 13-of-19   4.9 GB: 14-of-19   5.0 GB: 15-of-19   5.0 GB: 16-of-19   4.9 GB: 17-of-19   5.0 GB: 18-of-19   4.2 GB: 19-of-19   0.0 GB
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than GritLM/GritLM-8x7B-KTO.

Rank the GritLM 8x7B KTO 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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