Meta Llama 3.1 8B Openhermes 2.5 by artificialguybr

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  Autotrain compatible   Chatml   Dataset:teknium/openhermes-2.5   Distillation   En   Endpoints compatible   Finetuned   Gpt4   Instruct   Llama   Region:us   Safetensors   Sharded   Synthetic data   Tensorflow

Meta Llama 3.1 8B Openhermes 2.5 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 3.1 8B Openhermes 2.5 (artificialguybr/Meta-Llama-3.1-8B-openhermes-2.5)

Meta Llama 3.1 8B Openhermes 2.5 Parameters and Internals

Model Type 
Causal Language Model
Use Cases 
Primary Use Cases:
text generation, question answering, language-related applications
Considerations:
The model should not be used for generating harmful or biased content. Users should be aware of potential biases in the training data.
Additional Notes 
More information is needed about specific limitations and biases of this model.
Supported Languages 
en (English)
Training Details 
Data Sources:
teknium/OpenHermes-2.5
Hardware Used:
NVIDIA A100-SXM4-80GB (1 GPU)
Model Architecture:
LlamaForCausalLM
LLM NameMeta Llama 3.1 8B Openhermes 2.5
Repository ๐Ÿค—https://huggingface.co/artificialguybr/Meta-Llama-3.1-8B-openhermes-2.5 
Model Size8b
Required VRAM16.1 GB
Updated2025-01-24
Maintainerartificialguybr
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   16.1 GB   0.0 GB   0.0 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensemeta
Context Length131072
Model Max Length131072
Transformers Version4.43.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than artificialguybr/Meta-Llama-3.1-8B-openhermes-2.5.

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