LLM EXPLORER 59,420 MODELS INDEXED

Mergekit Sce Vjeombg by mergekit-community

By mergekit-community · 6 downloads

Mergekit Sce Vjeombg is an open-source language model by mergekit-community. Features: 14b LLM, VRAM: 29.7GB, Context: 128K, Instruction-Based, Merged, LLM Explorer Score: 0.16.

  Merged Model   Arxiv:2408.07990 Base model:arcee-ai/virtuoso-s... Base model:deepseek-ai/deepsee... Base model:qwen/qwen2.5-14b-in... Base model:sicariussicariistuf... Base model:sthenno-com/miscii-... Base model:sthenno/tempesthenn... Base model:sthenno/tempesthenn... Base model:toastypigeon/qwen2....   Conversational   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Mergekit Sce Vjeombg Parameters and Internals

LLM NameMergekit Sce Vjeombg
Repository πŸ€—https://huggingface.co/mergekit-community/mergekit-sce-vjeombg 
Base Model(s)  Miscii 14B 1225   Impish QWEN 14B 1M   Virtuoso Small   ToastyPigeon/Qwen2.5-14B-Instruct-1M-Unalign   DeepSeek R1 Distill Qwen 14B   Qwen/Qwen2.5-14B-Instruct-1M   Tempesthenno Nuslerp 0124   Tempesthenno 0126 Ckpt150   sthenno-com/miscii-14b-1225   SicariusSicariiStuff/Impish_QWEN_14B-1M   arcee-ai/Virtuoso-Small   ToastyPigeon/Qwen2.5-14B-Instruct-1M-Unalign   deepseek-ai/DeepSeek-R1-Distill-Qwen-14B   Qwen/Qwen2.5-14B-Instruct-1M   sthenno/tempesthenno-nuslerp-0124   sthenno/tempesthenno-0126-ckpt150
Merged ModelYes
Model Size14b
Required VRAM29.7 GB
Updated2026-08-05
Maintainermergekit-community
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-6   5.0 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   5.0 GB: 5-of-6   4.8 GB: 6-of-6
Model ArchitectureQwen2ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.48.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151665
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Mergekit Sce Vjeombg

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 14B Instruct 1M986K / 29.6 GB10388342
T3Q Qwen2.5 14B V1.0 E3986K / 29.7 GB85228
ZYH LLM Qwen2.5 14B V4986K / 29.7 GB278
Qwen2.5 14B 1M YOYO V3986K / 29.7 GB2544
Qwen2.5 14B YOYO V4986K / 29.7 GB205
Qwen2.5 14B YOYO Latest V2986K / 29.7 GB1290
ZYH LLM Qwen2.5 14B V3986K / 29.7 GB238
...14B Instruct 1M GRPO Reasoning986K / 29.7 GB114
Impish QWEN 14B 1M986K / 29.7 GB5626
Q2.5 14B Instruct 1M Harmony986K / 29.7 GB31
Note: green Score (e.g. "73.2") means that the model is better than mergekit-community/mergekit-sce-vjeombg.