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TalktoaiQT by shafire

 »  All LLMs  »  shafire  »  TalktoaiQT   URL Share it on

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  Autotrain   Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/llama-3....   Conversational   Endpoints compatible   Llama   Lora   Peft   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/shafire/talktoaiQT 

TalktoaiQT Benchmarks

LLME Score: 0.22978
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
TalktoaiQT (shafire/talktoaiQT)

TalktoaiQT Parameters and Internals

Model Type 
text-generation
Additional Notes 
Model trained using AutoTrain and unique mathematical approaches.
Training Details 
Data Sources:
AutoTrain reflection data sets, talktoai data sets, quantum interdimensional math, DNA math patterns
Methodology:
Trained for 8 hours on a large GPU server
Training Time:
8 hours
Hardware Used:
large GPU server
Input Output 
Input Format:
messages expected in a structured format
Accepted Modalities:
text
Output Format:
text response
LLM NameTalktoaiQT
Repository 🤗https://huggingface.co/shafire/talktoaiQT 
Base Model(s)  meta-llama/Meta-Llama-3.1-8B   meta-llama/Meta-Llama-3.1-8B
Model Size8b
Required VRAM16.1 GB
Updated2024-12-21
Maintainershafire
Model Files  0.2 GB   5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4   0.0 GB
Model ArchitectureAutoModelForCausalLM
Licenseother
Model Max Length4096
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|gate_proj|down_proj|k_proj|up_proj|o_proj|v_proj
LoRA Alpha32
LoRA Dropout0.05
R Param16

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Note: green Score (e.g. "73.2") means that the model is better than shafire/talktoaiQT.

Rank the TalktoaiQT 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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