BerryBase by jeiku

 ยป  All LLMs  ยป  jeiku  ยป  BerryBase   URL Share it on

  Merged Model   Autotrain compatible Base model:maywell/qwen2-7b-mu... Base model:weyaxi/einstein-v7-...   Conversational   Endpoints compatible Maywell/qwen2-7b-multilingual-...   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Weyaxi/einstein-v7-qwen2-7b
Model Card on HF ๐Ÿค—: https://huggingface.co/jeiku/BerryBase 

BerryBase Benchmarks

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

BerryBase Parameters and Internals

Model Type 
merge
Training Details 
Methodology:
Merge using LazyMergekit
Input Output 
Input Format:
structured prompts with message role content format
Accepted Modalities:
text
Output Format:
text
LLM NameBerryBase
Repository ๐Ÿค—https://huggingface.co/jeiku/BerryBase 
Base Model(s)  Qwen2 7B Multilingual RP   Einstein V7 Qwen2 7B   maywell/Qwen2-7B-Multilingual-RP   Weyaxi/Einstein-v7-Qwen2-7B
Merged ModelYes
Model Size7b
Required VRAM15.2 GB
Updated2025-02-05
Maintainerjeiku
Model Typeqwen2
Model Files  5.0 GB: 1-of-4   4.9 GB: 2-of-4   5.0 GB: 3-of-4   0.3 GB: 4-of-4
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.42.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to BerryBase

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 7B Instruct 1M986K / 15.4 GB25044175
Qwen2.5 7B RRP 1M986K / 15.2 GB974
COCO 7B Instruct 1M986K / 15.2 GB738
Q2.5 Instruct 1M Harmony986K / 15.2 GB350
Impish QWEN 7B 1M986K / 15.2 GB391
Qwen2.5 7B DeepSeek R1 1M986K / 15.2 GB508
MwM 7B CoT Merge1986K / 15.2 GB222
Mergekit Della Linear Vmeykci986K / 16.2 GB110
SakalFusion 7B Beta986K / 15.2 GB160
SJT 7B V1.1986K / 14.8 GB21
Note: green Score (e.g. "73.2") means that the model is better than jeiku/BerryBase.

Rank the BerryBase 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  

What open-source LLMs or SLMs are you in search of? 42577 in total.

Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227