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Synaptica by mergekit-community

 »  All LLMs  »  mergekit-community  »  Synaptica   URL Share it on

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  Merged Model   Autotrain compatible Base model:maywell/llama-3-syn... Base model:sao10k/fimbulvetr-1...   Conversational   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mergekit-community/Synaptica 

Synaptica Benchmarks

LLME Score: 0.18781
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Synaptica (mergekit-community/Synaptica)

Synaptica Parameters and Internals

Additional Notes 
This is a merge of pre-trained language models using mergekit.
Training Details 
Methodology:
SLERP merge method
LLM NameSynaptica
Repository 🤗https://huggingface.co/mergekit-community/Synaptica 
Base Model(s)  Fimbulvetr 11B V2   Llama 3 Synatra 11B V1   Sao10K/Fimbulvetr-11B-v2   maywell/Llama-3-Synatra-11B-v1
Merged ModelYes
Model Size11b
Required VRAM21.4 GB
Updated2025-02-22
Maintainermergekit-community
Model Typellama
Model Files  9.9 GB: 1-of-3   10.0 GB: 2-of-3   1.5 GB: 3-of-3
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.39.3
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

Quantized Models of the Synaptica

Model
Likes
Downloads
VRAM
Synaptica GGUF054 GB

Best Alternatives to Synaptica

Best Alternatives
Context / RAM
Downloads
Likes
...ral 11B Omni OP 1K 2048 Ver0.132K / 21.4 GB920
MIstral 11B Omni OP U1k Ver0.132K / 21.4 GB850
Llama 3 Synatra 11B V1 20K20K / 23 GB139
Fimbulvetr 11B V2.1 16K16K / 21.4 GB9417
Moistral 11B V28K / 21.4 GB5921
Moistral 11B V38K / 21.4 GB46897
Narumashi 11B V0.98K / 21.4 GB541
Moistral 11B V5d E48K / 21.4 GB151
Moistral 11B V5a8K / 21.4 GB201
Moistral 11B V5b8K / 21.4 GB121
Note: green Score (e.g. "73.2") means that the model is better than mergekit-community/Synaptica.

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