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SpydazWebAI MiniAI 248M by LeroyDyer

 »  All LLMs  »  LeroyDyer  »  SpydazWebAI MiniAI 248M   URL Share it on

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  Merged Model   Arxiv:2306.01708   Autotrain compatible Base model:felladrin/tinymistr... Base model:locutusque/tinymist...   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/LeroyDyer/SpydazWebAI_MiniAI_248m 

SpydazWebAI MiniAI 248m Benchmarks

LLME Score: 0.1852
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SpydazWebAI MiniAI 248M (LeroyDyer/SpydazWebAI_MiniAI_248m)

SpydazWebAI MiniAI 248M Parameters and Internals

Training Details 
Methodology:
Merged using the TIES merge method
LLM NameSpydazWebAI MiniAI 248m
Repository 🤗https://huggingface.co/LeroyDyer/SpydazWebAI_MiniAI_248m 
Base Model(s)  TinyMistral 248M V2   TinyMistral 248M Chat V2   Locutusque/TinyMistral-248M-v2   Felladrin/TinyMistral-248M-Chat-v2
Merged ModelYes
Model Size248m
Required VRAM0.5 GB
Updated2025-02-05
MaintainerLeroyDyer
Model Typemistral
Model Files  0.5 GB: 1-of-1
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32005
Torch Data Typefloat16

Best Alternatives to SpydazWebAI MiniAI 248M

Best Alternatives
Context / RAM
Downloads
Likes
TinyMistral 248M V2.532K / 1 GB29027
TinyMistral 248M V232K / 1 GB129317
...adrin TinyMistral248M Instruct32K / 0.5 GB13676
TinyMistral 248M V2.5 Instruct32K / 1 GB711
...al V2.5 MiniPile Guidelines E132K / 0.6 GB52
TinyMistral V2 Test132K / 1 GB181
TinyMistral 248M 8bits32K / 0.3 GB221
Tinymistv132K / 0.5 GB170
TinyMistral Haiku32K / 1 GB2050
TinyMistral 248M Instruct32K / 1 GB2311
Note: green Score (e.g. "73.2") means that the model is better than LeroyDyer/SpydazWebAI_MiniAI_248m.

Rank the SpydazWebAI MiniAI 248M Capabilities

🆘 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! 🌟

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 v20241227
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