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Mergekit Ties Folgysk by Hjgugugjhuhjggg

 »  All LLMs  »  Hjgugugjhuhjggg  »  Mergekit Ties Folgysk   URL Share it on

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  Merged Model   Arxiv:2306.01708   Autotrain compatible Base model:alelcv27/llama3.2-1... Base model:autoprogrammer/llam... Base model:autoprogrammer/llam... Base model:huyhoangt2201/llama... Base model:meta-llama/llama-3.... Base model:meta-llama/llama-3.... Base model:mlking2/llama-3.2-1... Base model:unsloth/llama-3.2-1...   Endpoints compatible   Finetuned   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Hjgugugjhuhjggg/mergekit-ties-folgysk 

Mergekit Ties Folgysk Benchmarks

LLME Score: 0.26038
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mergekit Ties Folgysk (Hjgugugjhuhjggg/mergekit-ties-folgysk)

Mergekit Ties Folgysk Parameters and Internals

LLM NameMergekit Ties Folgysk
Repository 🤗https://huggingface.co/Hjgugugjhuhjggg/mergekit-ties-folgysk 
Base Model(s)  meta-llama/Llama-3.2-1B-Instruct   huyhoangt2201/llama-3.2-1b-sql_finetuned_billingual_3.0_merged   meta-llama/Llama-3.2-1B   MLking2/llama-3.2-1b-medical   autoprogrammer/Llama-3.2-1B-Instruct-medmcqa-zh-linear   Alelcv27/llama3.2-1b-math-code   unsloth/Llama-3.2-1B-Instruct-bnb-4bit   autoprogrammer/Llama-3.2-1B-Instruct-MGSM8K-sft1   meta-llama/Llama-3.2-1B-Instruct   huyhoangt2201/llama-3.2-1b-sql_finetuned_billingual_3.0_merged   meta-llama/Llama-3.2-1B   MLking2/llama-3.2-1b-medical   autoprogrammer/Llama-3.2-1B-Instruct-medmcqa-zh-linear   Alelcv27/llama3.2-1b-math-code   unsloth/Llama-3.2-1B-Instruct-bnb-4bit   autoprogrammer/Llama-3.2-1B-Instruct-MGSM8K-sft1
Merged ModelYes
Model Size1b
Required VRAM2.5 GB
Updated2024-12-08
MaintainerHjgugugjhuhjggg
Model Typellama
Instruction-BasedYes
Model Files  2.5 GB: 1-of-1
Model ArchitectureLlamaForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.45.1
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Hjgugugjhuhjggg/mergekit-ties-folgysk.

Rank the Mergekit Ties Folgysk 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 v20241124
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