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Talosian 7B by jspr

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  Merged Model   Autotrain compatible   En   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/jspr/talosian-7b 

Talosian 7B Benchmarks

LLME Score: 0.17774
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Talosian 7B (jspr/talosian-7b)

Talosian 7B Parameters and Internals

Model Type 
storytelling
Additional Notes 
Talosian is a storytelling model specifically designed for writing new stories section-by-section. It is not a user-assistant chat-formatted model and should be used in text-generation-webui's Notebook mode.
Supported Languages 
en (primary)
Training Details 
Data Sources:
long-context dataset of smut stories
Context Length:
32000
Input Output 
Input Format:
[SEC] and [/SEC] tokens to delineate section headers
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Sections that are equivalent to a few paragraphs in length work best; make the prompt verbose and detailed
LLM NameTalosian 7B
Repository 🤗https://huggingface.co/jspr/talosian-7b 
Merged ModelYes
Model Size7b
Required VRAM28.9 GB
Updated2025-02-22
Maintainerjspr
Model Typemistral
Model Files  5.0 GB: 1-of-6   4.9 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   4.8 GB: 5-of-6   4.2 GB: 6-of-6
Supported Languagesen
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.39.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than jspr/talosian-7b.

Rank the Talosian 7B 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  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20241227
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