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SD3 Prompt Llama 8B by matrixglitch

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Model Card on HF 🤗: https://huggingface.co/matrixglitch/SD3_prompt-llama_8b 

SD3 Prompt Llama 8b Benchmarks

LLME Score: 0.19579
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SD3 Prompt Llama 8B (matrixglitch/SD3_prompt-llama_8b)

SD3 Prompt Llama 8B Parameters and Internals

Additional Notes 
The model was trained for 1500 steps. Training for a longer duration yielded diminishing results due to the low batch size. It has not been trained on the whole dataset due to lack of compute, but the results are already considered amazing.
Training Details 
Data Volume:
90k+ original prompts, 220k modified prompts
Training Time:
2.5 hours
Hardware Used:
RTX 3090
LLM NameSD3 Prompt Llama 8b
Repository 🤗https://huggingface.co/matrixglitch/SD3_prompt-llama_8b 
Model Size8b
Required VRAM16.1 GB
Updated2025-02-05
Maintainermatrixglitch
Model Typellama
Instruction-BasedYes
Model Files  2.0 GB: 1-of-9   1.9 GB: 2-of-9   2.0 GB: 3-of-9   1.9 GB: 4-of-9   2.0 GB: 5-of-9   1.9 GB: 6-of-9   2.0 GB: 7-of-9   1.3 GB: 8-of-9   1.1 GB: 9-of-9
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.41.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than matrixglitch/SD3_prompt-llama_8b.

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