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Mistralai 7B Slerp V0.1 by irahulpandey

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Mistralai 7B Slerp V0.1 is an open-source language model by irahulpandey. Features: 7b LLM, VRAM: 36.3GB, Context: 32K, License: apache-2.0, Merged, LLM Explorer Score: 0.24.

  Merged Model   Huggingfaceh4/zephyr-7b-beta   Mistral   Region:us   Safetensors   Sharded   Tensorflow Weyaxi/openhermes-2.5-neural-c...
Model Card on HF 🤗: https://huggingface.co/irahulpandey/mistralai-7B-slerp-v0.1 

Mistralai 7B Slerp V0.1 Benchmarks

MMLU Pro: 21.68
GPQA: 7.16
MUSR: 14.87
BBH: 29.61
IFEval: 49.66 vs 88 (so35)-43.6%
MATH Lvl 5: 5.14
LLME Score: 0.23815
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)
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Mistralai 7B Slerp V0.1 Parameters and Internals

LLM NameMistralai 7B Slerp V0.1
Repository 🤗https://huggingface.co/irahulpandey/mistralai-7B-slerp-v0.1 
Merged ModelYes
Model Size7b
Required VRAM36.3 GB
Updated2026-02-08
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

🆘 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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