Dot V2.7 by appvoid

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  Merged Model   Arxiv:2306.01708   Arxiv:2311.03099   Autotrain compatible   Base model:appvoid/palmer-003 Base model:bee-spoke-data/tiny... Base model:matlok/tinyllama-ci... Base model:microsoft/rho-math-... Base model:raidhon/coven tiny ... Base model:shieldx/manovyadh-1... Base model:tinyllama/tinyllama...   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/appvoid/dot-v2.7 

Dot V2.7 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Dot V2.7 (appvoid/dot-v2.7)

Dot V2.7 Parameters and Internals

Additional Notes 
This model is a merge of pre-trained language models using the DARE TIES merge method with `appvoid/palmer-003` as the base model. Mergekit was used for the process.
Training Details 
Methodology:
Merge using DARE TIES method
LLM NameDot V2.7
Repository ๐Ÿค—https://huggingface.co/appvoid/dot-v2.7 
Base Model(s)  ...inyllama Cinder Openhermes 32K   raidhon/coven_tiny_1.1b_32k_orpo_alpha   TinyLlama/TinyLlama-1.1B-Chat-v1.0   Palmer 003   BEE-spoke-data/TinyLlama-1.1bee   ShieldX/manovyadh-1.1B-v1-chat   microsoft/rho-math-1b-interpreter-v0.1   matlok/tinyllama-cinder-openhermes-32k   raidhon/coven_tiny_1.1b_32k_orpo_alpha   TinyLlama/TinyLlama-1.1B-Chat-v1.0   appvoid/palmer-003   BEE-spoke-data/TinyLlama-1.1bee   ShieldX/manovyadh-1.1B-v1-chat   microsoft/rho-math-1b-interpreter-v0.1
Merged ModelYes
Model Size1b
Required VRAM2.2 GB
Updated2025-02-22
Maintainerappvoid
Model Typellama
Model Files  2.0 GB: 1-of-2   0.2 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than appvoid/dot-v2.7.

Rank the Dot V2.7 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  

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