LLM EXPLORER 59,420 MODELS INDEXED

Mergekit Slerp Lvhhlmq by mergekit-community

By mergekit-community · 9 downloads

Mergekit Slerp Lvhhlmq is an open-source language model by mergekit-community. Features: 2b LLM, VRAM: 5GB, Context: 8K, Merged, LLM Explorer Score: 0.12.

  Merged Model   Base model:beomi/gemma-ko-2b   Base model:unsloth/gemma-2b   Endpoints compatible   Gemma   Region:us   Safetensors   Sharded   Tensorflow

Mergekit Slerp Lvhhlmq Parameters and Internals

Training Details 
Methodology:
SLERP merge method
LLM NameMergekit Slerp Lvhhlmq
Repository πŸ€—https://huggingface.co/mergekit-community/mergekit-slerp-lvhhlmq 
Base Model(s)  Gemma Ko 2B   Gemma 2B   beomi/gemma-ko-2b   unsloth/gemma-2b
Merged ModelYes
Model Size2b
Required VRAM5 GB
Updated2026-06-05
Maintainermergekit-community
Model Typegemma
Model Files  5.0 GB: 1-of-1
Model ArchitectureGemmaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.39.3
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

Quantized Models of the Mergekit Slerp Lvhhlmq

Model
Likes
Downloads
VRAM
Mergekit Slerp Lvhhlmq GGUF0231 GB

Best Alternatives to Mergekit Slerp Lvhhlmq

Best Alternatives
Context / RAM
Downloads
Likes
Gemma 1.1 2B It8K / 5.1 GB209209173
Gemma 2B It8K / 5 GB168023
Gemma 1.1 2B It8K / 5 GB433
Gemma 2B It Peru Legal Es V28K / 5.1 GB81
Codegemma 2B8K / 5.1 GB33091101
Bge Reranker V2 Gemma8K / 10 GB26112187
Gita SastraGPT V18K / 5.1 GB41
Caca Tinny 2B V38K / 5.1 GB41
Pandas Tutor Gemma 2B8K / 5.1 GB61
Gemma Qlora Customer Support8K / 5.1 GB80
Note: green Score (e.g. "73.2") means that the model is better than mergekit-community/mergekit-slerp-lvhhlmq.