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InnerILLM 7B Slerp by InnerI

 »  All LLMs  »  InnerI  »  InnerILLM 7B Slerp   URL Share it on

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  Merged Model   Autotrain compatible Base model:mlabonne/neuralherm... Base model:openpipe/mistral-ft...   Endpoints compatible   Mistral Mlabonne/neuralhermes-2.5-mist...   Model-index Openpipe/mistral-ft-optimized-...   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/InnerI/InnerILLM-7B-slerp 

InnerILLM 7B Slerp Benchmarks

ARC: 67.58 vs 96.7 (so35)-30.1%
HellaSwag: 86.19 vs 95.3 (gpt4)-9.6%
MMLU: 64.15 vs 88.3 (so35)-27.3%
TruthfulQA: 59.84 vs 59 (gpt4)1.4%
WinoGrande: 80.11 vs 87.5 (gpt4)-8.4%
GSM8K: 68.69 vs 96.4 (so35)-28.7%
LLME Score: 0.17426
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
InnerILLM 7B Slerp (InnerI/InnerILLM-7B-slerp)

InnerILLM 7B Slerp Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
text generation
Additional Notes 
InnerILLM-7B-slerp is a merge of OpenPipe/mistral-ft-optimized-1218 and mlabonne/NeuralHermes-2.5-Mistral-7B using LazyMergekit.
LLM NameInnerILLM 7B Slerp
Repository 🤗https://huggingface.co/InnerI/InnerILLM-7B-slerp 
Base Model(s)  Mistral Ft Optimized 1218   mlabonne/NeuralHermes-2.5-Mistral-7B   OpenPipe/mistral-ft-optimized-1218   mlabonne/NeuralHermes-2.5-Mistral-7B
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2025-02-22
MaintainerInnerI
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 Version4.37.2
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 InnerI/InnerILLM-7B-slerp.

Rank the InnerILLM 7B Slerp Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Release v20241227
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