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Llama 3 LongStory EXL2 8BPW by Blackroot

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  Autotrain compatible   Conversational   Endpoints compatible   Exl2   Instruct   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Blackroot/Llama-3-LongStory-exl2-8BPW 

Llama 3 LongStory EXL2 8BPW Benchmarks

LLME Score: 0.18335
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 LongStory EXL2 8BPW (Blackroot/Llama-3-LongStory-exl2-8BPW)

Llama 3 LongStory EXL2 8BPW Parameters and Internals

Model Type 
Natural Language Processing, Text Generation
Use Cases 
Applications:
Story continuation based on summaries, Writing stories
Primary Use Cases:
Continue a story given a summary of previous events, Write 3k-8k length stories from a single prompt
Additional Notes 
Standard context length is 8192. Trained for 8 epochs. Almost all samples were between 7500-8192 tokens long.
Training Details 
Data Sources:
long form stories, cleaned long form dialogue
Data Volume:
100MB
Methodology:
Stories were restructured, summarized with Llama-70B, and temporally stacked.
Context Length:
8192
Input Output 
Input Format:
Prompt format the same as Llama 3
LLM NameLlama 3 LongStory EXL2 8BPW
Repository 🤗https://huggingface.co/Blackroot/Llama-3-LongStory-exl2-8BPW 
Model Size8b
Required VRAM8.6 GB
Updated2025-02-17
MaintainerBlackroot
Model Typellama
Instruction-BasedYes
Model Files  8.6 GB
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.40.0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Blackroot/Llama-3-LongStory-exl2-8BPW.

Rank the Llama 3 LongStory EXL2 8BPW Capabilities

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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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Release v20241227
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