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Mergekit Linear Jyaduup by djuna-test-lab

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Mergekit Linear Jyaduup is an open-source language model by djuna-test-lab. Features: 8b LLM, VRAM: 16GB, Context: 128K, LLM Explorer Score: 0.19.

  Arxiv:2203.05482 Base model:allenai/llama-3.1-t... Base model:huihui-ai/deepseek-... Base model:merge:allenai/llama... Base model:merge:huihui-ai/dee...   Conversational   Endpoints compatible   Llama   Merge   Mergekit   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/djuna-test-lab/mergekit-linear-jyaduup 

Mergekit Linear Jyaduup Benchmarks

LLME Score: 0.18554
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mergekit Linear Jyaduup (djuna-test-lab/mergekit-linear-jyaduup)
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Mergekit Linear Jyaduup Parameters and Internals

LLM NameMergekit Linear Jyaduup
Repository 🤗https://huggingface.co/djuna-test-lab/mergekit-linear-jyaduup 
Base Model(s)  ...1 Distill Llama 8B Abliterated   allenai/Llama-3.1-Tulu-3.1-8B   huihui-ai/DeepSeek-R1-Distill-Llama-8B-abliterated   allenai/Llama-3.1-Tulu-3.1-8B
Model Size8b
Required VRAM16 GB
Updated2026-01-15
Maintainerdjuna-test-lab
Model Typellama
Model Files  1.1 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   1.9 GB: 8-of-9   1.3 GB: 9-of-9
Model ArchitectureLlamaForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.49.0
Tokenizer ClassLlamaTokenizerFast
Padding Token<｜end▁of▁sentence｜>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than djuna-test-lab/mergekit-linear-jyaduup.

Rank the Mergekit Linear Jyaduup Capabilities

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