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Fett Uccine Long Noodle 7B 120K Context by Epiculous

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Fett Uccine Long Noodle 7B 120K Context is an open-source language model by Epiculous. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, Merged, LLM Explorer Score: 0.12.

  Merged Model   Conversational   Custom code   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Epiculous/Fett-uccine-Long-Noodle-7B-120k-Context 

Fett Uccine Long Noodle 7B 120K Context Benchmarks

LLME Score: 0.11505
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Fett Uccine Long Noodle 7B 120K Context (Epiculous/Fett-uccine-Long-Noodle-7B-120k-Context)
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Fett Uccine Long Noodle 7B 120K Context Parameters and Internals

Additional Notes 
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). It uses the SLERP merge method and combines the models Fett-uccine-7B and Yarn-Mistral-7b-128k.
LLM NameFett Uccine Long Noodle 7B 120K Context
Repository 🤗https://huggingface.co/Epiculous/Fett-uccine-Long-Noodle-7B-120k-Context 
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2026-05-13
MaintainerEpiculous
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.35.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Epiculous/Fett-uccine-Long-Noodle-7B-120k-Context.

Rank the Fett Uccine Long Noodle 7B 120K Context Capabilities

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Instruction Following and Task Automation  
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Data Analysis and Insight Generation  
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Text Summarization and Feature Extraction  
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