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Saka 24B by Sakalti

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  Merged Model   Arxiv:2408.07990   Autotrain compatible Base model:alsamcur123/mistral... Base model:huihui-ai/mistral-s... Base model:trashpanda-org/ms-2...   Conversational   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Sakalti/Saka-24B 

Saka 24B Benchmarks

MMLU Pro: 41.84
GPQA: 12.3
MUSR: 15.73
BBH: 43.31
IFEval: 38.19 vs 88 (so35)-56.6%
MATH Lvl 5: 18.05
LLME Score: 0.36434
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Saka 24B (Sakalti/Saka-24B)

Saka 24B Parameters and Internals

LLM NameSaka 24B
Repository 🤗https://huggingface.co/Sakalti/Saka-24B 
Base Model(s)  ... 24B Instruct 2501 Abliterated   MS 24B Instruct Mullein V0   ...all3 24B InstructContinuedFine   mergekit-community/24B-MS-PRO-V0.01   huihui-ai/Mistral-Small-24B-Instruct-2501-abliterated   trashpanda-org/MS-24B-Instruct-Mullein-v0   AlSamCur123/Mistral-Small3-24B-InstructContinuedFine   mergekit-community/24B-MS-PRO-V0.01
Merged ModelYes
Model Size24b
Required VRAM47.3 GB
Updated2025-02-12
MaintainerSakalti
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 Version4.48.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size131072
Torch Data Typebfloat16

Best Alternatives to Saka 24B

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...ral Nemo Instruct 24B Merge V11000K / 24.6 GB90
...l Small 24B Instruct 2501 Bf1632K / 46.9 GB2353
...ll 24B Instruct 2501 Reasoning32K / 47.3 GB84540
SCE 2 24B32K / 47.3 GB490
SCE 3 24B32K / 47.3 GB430
Mistral Small R1 Tensopolis32K / 47.3 GB781
Arcee Blitz32K / 47.2 GB28642
MS 24B Instruct Mullein V032K / 47.3 GB232322
...istral Small 24B Instruct 250132K / 47.3 GB37344
Machina 24B.V232K / 47.3 GB14294
Note: green Score (e.g. "73.2") means that the model is better than Sakalti/Saka-24B.

Rank the Saka 24B 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 v20241227
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