Llama 3 8B Chat FAQ by Alkyema

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  Arxiv:1910.09700   Autotrain compatible   Conversational   Endpoints compatible   Llama   Lora   Pytorch   Region:us   Safetensors

Llama 3 8B Chat FAQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 8B Chat FAQ (Alkyema/llama-3-8b-chat-FAQ)

Llama 3 8B Chat FAQ Parameters and Internals

LLM NameLlama 3 8B Chat FAQ
Repository ๐Ÿค—https://huggingface.co/Alkyema/llama-3-8b-chat-FAQ 
Model Size8b
Required VRAM0.2 GB
Updated2024-07-23
MaintainerAlkyema
Model Files  0.2 GB   1.1 GB
Model ArchitectureAutoModelForCausalLM
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|im_end|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesv_proj|q_proj|up_proj|down_proj|k_proj|gate_proj|o_proj
LoRA Alpha32
LoRA Dropout0.05
R Param16

Quantized Models of the Llama 3 8B Chat FAQ

Model
Likes
Downloads
VRAM
Llama 3 8B Chat Me03216 GB

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Note: green Score (e.g. "73.2") means that the model is better than Alkyema/llama-3-8b-chat-FAQ.

Rank the Llama 3 8B Chat FAQ Capabilities

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