Mergekit 01 by Sakalti

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  Merged Model   Autotrain compatible Base model:finetune:sakalti/mo...   Base model:sakalti/model-3   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/Sakalti/mergekit-01 

Mergekit 01 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mergekit 01 (Sakalti/mergekit-01)

Mergekit 01 Parameters and Internals

LLM NameMergekit 01
Repository ๐Ÿค—https://huggingface.co/Sakalti/mergekit-01 
Base Model(s)  Model 3   Sakalti/model-3
Merged ModelYes
Model Size7.6b
Required VRAM16.2 GB
Updated2025-02-05
MaintainerSakalti
Model Typeqwen2
Model Files  1.1 GB: 1-of-30   1.1 GB: 2-of-30   0.5 GB: 3-of-30   0.5 GB: 4-of-30   0.5 GB: 5-of-30   0.5 GB: 6-of-30   0.5 GB: 7-of-30   0.5 GB: 8-of-30   0.5 GB: 9-of-30   0.5 GB: 10-of-30   0.5 GB: 11-of-30   0.5 GB: 12-of-30   0.5 GB: 13-of-30   0.5 GB: 14-of-30   0.5 GB: 15-of-30   0.5 GB: 16-of-30   0.5 GB: 17-of-30   0.5 GB: 18-of-30   0.5 GB: 19-of-30   0.5 GB: 20-of-30   0.5 GB: 21-of-30   0.5 GB: 22-of-30   0.5 GB: 23-of-30   0.5 GB: 24-of-30   0.5 GB: 25-of-30   0.5 GB: 26-of-30   0.5 GB: 27-of-30   0.5 GB: 28-of-30   0.5 GB: 29-of-30   0.5 GB: 30-of-30
Model ArchitectureQwen2ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.46.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

Best Alternatives to Mergekit 01

Best Alternatives
Context / RAM
Downloads
Likes
MawaredT1128K / 15.2 GB23181
Exp 3 Q R128K / 15.2 GB50
Mawared T1128K / 15.2 GB28601
Qwen2.5 ColdBrew R1 Test3128K / 15.2 GB130
T36Model128K / 15.2 GB420
Exp 2 Q R128K / 15.2 GB60
T21Model128K / 15.2 GB410
T35Model128K / 15.2 GB50
Arcee Agent128K / 15.2 GB37792
Marco O132K / 15.2 GB4090702
Note: green Score (e.g. "73.2") means that the model is better than Sakalti/mergekit-01.

Rank the Mergekit 01 Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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