Aznatkoiny 7B Slerp by aznatkoiny

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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... Openpipe/mistral-ft-optimized-...   Region:us   Safetensors   Sharded   Tensorflow

Aznatkoiny 7B Slerp Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Aznatkoiny 7B Slerp (aznatkoiny/aznatkoiny-7B-slerp)

Aznatkoiny 7B Slerp Parameters and Internals

LLM NameAznatkoiny 7B Slerp
Repository ๐Ÿค—https://huggingface.co/aznatkoiny/aznatkoiny-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 VRAM14.5 GB
Updated2025-02-22
Maintaineraznatkoiny
Model Typemistral
Model Files  4.9 GB: 1-of-3   4.9 GB: 2-of-3   4.7 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.41.0
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 aznatkoiny/aznatkoiny-7B-slerp.

Rank the Aznatkoiny 7B Slerp Capabilities

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227