WinterEngine 24B Instruct by Darkknight535

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WinterEngine 24B Instruct is an open-source language model by Darkknight535. Features: 24b LLM, VRAM: 47.3GB, Context: 32K, Instruction-Based, Merged, LLM Explorer Score: 0.18.

  Merged Model Base model:pocketdoc/dans-pers... Base model:sicariussicariistuf...   Instruct   Mistral Pocketdoc/dans-personalityengi...   Region:us   Safetensors   Sharded Sicariussicariistuff/redemptio...   Tensorflow

WinterEngine 24B Instruct Benchmarks

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

WinterEngine 24B Instruct Parameters and Internals

LLM NameWinterEngine 24B Instruct
Repository 🤗https://huggingface.co/Darkknight535/WinterEngine-24B-Instruct 
Base Model(s)  PocketDoc/Dans-PersonalityEngine-V1.2.0-24b   Redemption Wind 24B   PocketDoc/Dans-PersonalityEngine-V1.2.0-24b   SicariusSicariiStuff/Redemption_Wind_24B
Merged ModelYes
Model Size24b
Required VRAM47.3 GB
Updated2026-05-22
MaintainerDarkknight535
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-10   4.8 GB: 2-of-10   4.8 GB: 3-of-10   4.9 GB: 4-of-10   4.8 GB: 5-of-10   4.8 GB: 6-of-10   4.9 GB: 7-of-10   4.8 GB: 8-of-10   4.8 GB: 9-of-10   3.8 GB: 10-of-10
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.48.3
Tokenizer ClassLlamaTokenizer
Padding Token<pad>
Vocabulary Size131072
Torch Data Typebfloat16

Best Alternatives to WinterEngine 24B Instruct

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Context / RAM
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...ral Nemo Instruct 24B Merge V11000K / 24.6 GB90
Cydonia 24B V4.3128K / 47.3 GB3460102
Neural V1 24B128K / 47.3 GB102
MS3.2 PaintedFantasy V4.1 24B128K / 47.3 GB6413
Cydonia 24B V4.1128K / 47.3 GB92376
MS3.2 PaintedFantasy V3 24B128K / 47.3 GB11035
Rivermind 24B V1128K / 47.3 GB1412
Cydonia 24B V4128K / 47.3 GB39039
MS3.2 PaintedFantasy V2 24B128K / 47.3 GB11940
Skyfall 31B V4128K / 62.9 GB634
Note: green Score (e.g. "73.2") means that the model is better than Darkknight535/WinterEngine-24B-Instruct.

Rank the WinterEngine 24B Instruct 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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Release v20260328a