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Sharded Llama 3 8B by realshyfox

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  Autotrain compatible   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/realshyfox/sharded-Llama-3-8B 

Sharded Llama 3 8B Benchmarks

LLME Score: 0.18404
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Sharded Llama 3 8B (realshyfox/sharded-Llama-3-8B)

Sharded Llama 3 8B Parameters and Internals

Model Type 
Auto-regressive language model
Use Cases 
Primary Use Cases:
text generation tasks, chatbots, content creation, interactive applications
Limitations:
model should not be used for unethical activities
Considerations:
Users should be aware of the model's limitations and biases. It's recommended to use the model responsibly.
Additional Notes 
The model includes sharded versions for easier inference and fine-tuning on lower-end systems.
Supported Languages 
English (NLP)
Training Details 
Data Sources:
publicly available online data
Data Volume:
over 15 trillion tokens
Methodology:
Grouped-Query Attention (GQA), supervised fine-tuning (SFT), reinforcement learning with human feedback (RLHF)
Hardware Used:
NVIDIA A100 GPUs
Model Architecture:
Transformer-based, auto-regressive
LLM NameSharded Llama 3 8B
Repository 🤗https://huggingface.co/realshyfox/sharded-Llama-3-8B 
Model Size8b
Required VRAM16.1 GB
Updated2025-02-22
Maintainerrealshyfox
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
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.40.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than realshyfox/sharded-Llama-3-8B.

Rank the Sharded Llama 3 8B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Text Generation  
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Release v20241227
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