Llama 3 Spellbound Instruct 8B 0.3 by hf-100

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  Autotrain compatible   Conversational   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow

Llama 3 Spellbound Instruct 8B 0.3 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 Spellbound Instruct 8B 0.3 (hf-100/Llama-3-Spellbound-Instruct-8B-0.3)

Llama 3 Spellbound Instruct 8B 0.3 Parameters and Internals

Use Cases 
Primary Use Cases:
Roleplaying in multi-turn stories, Dynamic switching of writing styles for different scenarios, Interpretation of formatting marks 'quote' and 'action'
Limitations:
Model was trained on data that included adult content and this fine-tune does not add additional guardrails
Considerations:
Not suitable for all environments
Additional Notes 
Made by tryspellbound.com, though currently not used - Claude 3 Sonnet is used instead.
Training Details 
Methodology:
Trained on additional tokens. No instruct related fine-tuning was performed.
LLM NameLlama 3 Spellbound Instruct 8B 0.3
Repository ๐Ÿค—https://huggingface.co/hf-100/Llama-3-Spellbound-Instruct-8B-0.3 
Model Size8b
Required VRAM16.1 GB
Updated2025-06-01
Maintainerhf-100
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
Licensecc-by-nc-sa-4.0
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 hf-100/Llama-3-Spellbound-Instruct-8B-0.3.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227