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Meta Llama 3 8Bee by BEE-spoke-data

 »  All LLMs  »  BEE-spoke-data  »  Meta Llama 3 8Bee   URL Share it on

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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
Model Card on HF 🤗: https://huggingface.co/BEE-spoke-data/Meta-Llama-3-8Bee 

Meta Llama 3 8Bee Benchmarks

MMLU Pro: 24.66
GPQA: 8.5
MUSR: 6.24
BBH: 24.2
IFEval: 19.51 vs 88 (so35)-77.8%
ARC: 58.62 vs 96.7 (so35)-39.4%
HellaSwag: 81.48 vs 95.3 (gpt4)-14.5%
MMLU: 66.01 vs 88.3 (so35)-25.2%
TruthfulQA: 42.9 vs 59 (gpt4)-27.3%
WinoGrande: 77.11 vs 87.5 (gpt4)-11.9%
GSM8K: 39.88 vs 96.4 (so35)-58.6%
MATH Lvl 5: 4.15
LLME Score: 0.25041
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 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 🤗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
Updated2025-02-05
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 Q4154 GB

Best Alternatives to Meta Llama 3 8Bee

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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

🆘 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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Release v20241227
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