Meta Llama 3 8B Instruct Chatbot by mkschulz9

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  Adapter Base model:adapter:meta-llama/... Base model:meta-llama/meta-lla...   Conversational   Finetuned   Generated from trainer   Instruct   Lora   Peft   Region:us   Safetensors   Sft   Tensorboard   Trl

Meta Llama 3 8B Instruct Chatbot Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Meta Llama 3 8B Instruct Chatbot (mkschulz9/meta-llama-3-8B-instruct-chatbot)

Meta Llama 3 8B Instruct Chatbot Parameters and Internals

Model Type 
text generation
Additional Notes 
This model is a fine-tuned version of the Meta-Llama-3-8B-Instruct.
LLM NameMeta Llama 3 8B Instruct Chatbot
Repository ๐Ÿค—https://huggingface.co/mkschulz9/meta-llama-3-8B-instruct-chatbot 
Base Model(s)  Meta Llama 3 8B Instruct   meta-llama/Meta-Llama-3-8B-Instruct
Model Size8b
Required VRAM2.5 GB
Updated2024-12-22
Maintainermkschulz9
Instruction-BasedYes
Model Files  2.5 GB   0.0 GB
Model ArchitectureAdapter
Licensellama3
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|im_end|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|v_proj
LoRA Alpha128
LoRA Dropout0.05
R Param256

Quantized Models of the Meta Llama 3 8B Instruct Chatbot

Model
Likes
Downloads
VRAM
Meta Llama 3 8B Instruct GGUF3328313 GB

Best Alternatives to Meta Llama 3 8B Instruct Chatbot

Best Alternatives
Context / RAM
Downloads
Likes
... 3 8B Instruct Bvr Finetune V38K / 16.1 GB50
Flippa V60K / 0 GB111
...lama 3 1 8B Instruct Orca ORPO0K / 0.1 GB1262
...ight AGI Llama3.1 8B UC200k V20K / 0.2 GB872
Vortex20K / 4.4 GB80
FineLlama3.1 8B Instruct Lora0K / 0.2 GB01
Llama3 8B Instruct Code0K / 0.2 GB21
Llama 3 8B Claudstruct V30K / 0.1 GB110
Llama 3 8B Claudstruct V10K / 0.1 GB70
Llama 3 8B Instruct 80K QLoRA0K / 2.2 GB024
Note: green Score (e.g. "73.2") means that the model is better than mkschulz9/meta-llama-3-8B-instruct-chatbot.

Rank the Meta Llama 3 8B Instruct Chatbot 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 v20241217