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QI Mistral 7B Slerp by QuantumIntelligence

 »  All LLMs  »  QuantumIntelligence  »  QI Mistral 7B Slerp   URL Share it on

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  Merged Model   Autotrain compatible   Endpoints compatible   Korean   Mistral   Mistral-7b   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/QuantumIntelligence/QI-mistral-7B-slerp 

QI Mistral 7B Slerp Benchmarks

LLME Score: 0.15032
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
QI Mistral 7B Slerp (QuantumIntelligence/QI-mistral-7B-slerp)
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QI Mistral 7B Slerp Parameters and Internals

Model Type 
Text Generation, Multimodal
Use Cases 
Areas:
Research, Commercial applications
Supported Languages 
Korean (Relatively well)
Training Details 
Methodology:
Merged several DPO fine-tuned models with SLERP
Input Output 
Input Format:
Chat template input
Accepted Modalities:
Text
LLM NameQI Mistral 7B Slerp
Repository 🤗https://huggingface.co/QuantumIntelligence/QI-mistral-7B-slerp 
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2025-02-03
MaintainerQuantumIntelligence
Model Typemistral
Model Files  2.0 GB: 1-of-8   1.9 GB: 2-of-8   2.0 GB: 3-of-8   2.0 GB: 4-of-8   1.9 GB: 5-of-8   1.9 GB: 6-of-8   1.9 GB: 7-of-8   0.8 GB: 8-of-8
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.39.2
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 QuantumIntelligence/QI-mistral-7B-slerp.

Rank the QI Mistral 7B Slerp 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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