Meta Llama 3 8Bee by BEE-spoke-data

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  Autotrain compatible   Axolotl Base model:finetune:meta-llama... Base model:meta-llama/meta-lla... Dataset:bee-spoke-data/bees-in...   En   Endpoints compatible   Generated from trainer   Llama   Region:us   Safetensors   Sharded   Tensorflow

Meta Llama 3 8Bee Benchmarks

Meta Llama 3 8Bee (BEE-spoke-data/Meta-Llama-3-8Bee)

Meta Llama 3 8Bee Parameters and Internals

Model Type 
LlamaForCausalLM
Use Cases 
Primary Use Cases:
unveiling knowledge about bees and apiary practice
Limitations:
needs further tuning to be used in 'instruct' type settings
Training Details 
Data Sources:
BEE-spoke-data/bees-internal
Methodology:
fine-tuning
Context Length:
8192
LLM NameMeta Llama 3 8Bee
Repository ๐Ÿค—https://huggingface.co/BEE-spoke-data/Meta-Llama-3-8Bee 
Base Model(s)  Meta Llama 3 8B   meta-llama/Meta-Llama-3-8B
Model Size8b
Required VRAM16.1 GB
Updated2025-01-24
MaintainerBEE-spoke-data
Model Typellama
Model Files  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
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.40.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

Quantized Models of the Meta Llama 3 8Bee

Model
Likes
Downloads
VRAM
Meta Llama 3 8B Q4164 GB

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Context / RAM
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Note: green Score (e.g. "73.2") means that the model is better than BEE-spoke-data/Meta-Llama-3-8Bee.

Rank the Meta Llama 3 8Bee 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  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227