TalktoaiZERO by shafire

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  Autotrain   Autotrain compatible Base model:meta-llama/meta-lla... Base model:quantized:meta-llam...   Conversational   Endpoints compatible   Gguf   Instruct   Llama   Lora   Peft   Quantized   Region:us   Safetensors   Sharded   Tensorflow

TalktoaiZERO Benchmarks

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

TalktoaiZERO Parameters and Internals

LLM NameTalktoaiZERO
Repository ๐Ÿค—https://huggingface.co/shafire/talktoaiZERO 
Base Model(s)  meta-llama/Meta-Llama-3.1-8B-Instruct   meta-llama/Meta-Llama-3.1-8B-Instruct
Model Size8b
Required VRAM16.1 GB
Updated2024-10-11
Maintainershafire
Instruction-BasedYes
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   16.1 GB   0.0 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModelForCausalLM
Licensemit
Model Max Length2048
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesdown_proj|up_proj|gate_proj|q_proj|v_proj|k_proj|o_proj
LoRA Alpha32
LoRA Dropout0.05
R Param16
TalktoaiZERO (shafire/talktoaiZERO)

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Rank the TalktoaiZERO 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 v2024072803