Mistralai 7B Slerp V0.1 by irahulpandey

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  Merged Model   Huggingfaceh4/zephyr-7b-beta   Mistral   Region:us   Safetensors   Sharded   Tensorflow Weyaxi/openhermes-2.5-neural-c...

Mistralai 7B Slerp V0.1 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistralai 7B Slerp V0.1 (irahulpandey/mistralai-7B-slerp-v0.1)

Mistralai 7B Slerp V0.1 Parameters and Internals

LLM NameMistralai 7B Slerp V0.1
Repository ๐Ÿค—https://huggingface.co/irahulpandey/mistralai-7B-slerp-v0.1 
Merged ModelYes
Model Size7b
Required VRAM36.3 GB
Updated2025-02-09
Maintainerirahulpandey
Model Typemistral
Model Files  1.0 GB: 1-of-15   1.0 GB: 1-of-42   1.0 GB: 2-of-15   1.0 GB: 2-of-42   1.0 GB: 3-of-15   0.9 GB: 3-of-42   1.0 GB: 4-of-15   0.7 GB: 4-of-42   0.9 GB: 5-of-15   0.7 GB: 5-of-42   1.0 GB: 6-of-15   0.7 GB: 6-of-42   1.0 GB: 7-of-15   0.7 GB: 7-of-42   1.0 GB: 8-of-15   0.7 GB: 8-of-42   0.9 GB: 9-of-15   0.7 GB: 9-of-42   1.0 GB: 10-of-15   0.7 GB: 10-of-42   1.0 GB: 11-of-15   0.7 GB: 11-of-42   1.0 GB: 12-of-15   0.7 GB: 12-of-42   0.9 GB: 13-of-15   0.7 GB: 13-of-42   1.0 GB: 14-of-15   0.7 GB: 14-of-42   0.8 GB: 15-of-15   0.7 GB: 15-of-42   0.7 GB: 16-of-42   0.7 GB: 17-of-42   0.7 GB: 18-of-42   0.7 GB: 19-of-42   0.7 GB: 20-of-42   0.7 GB: 21-of-42   0.7 GB: 22-of-42   0.7 GB: 23-of-42   0.7 GB: 24-of-42   0.7 GB: 25-of-42   0.7 GB: 26-of-42   0.7 GB: 27-of-42   0.7 GB: 28-of-42   0.7 GB: 29-of-42   0.7 GB: 30-of-42
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.47.1
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than irahulpandey/mistralai-7B-slerp-v0.1.

Rank the Mistralai 7B Slerp V0.1 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227